<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>RunAIHome</title><description>Practical guides for running AI on consumer GPUs at home. GPU benchmarks, local LLM tutorials, and tool comparisons for ComfyUI, Stable Diffusion, Llama, Ollama and more.</description><link>https://runaihome.com/</link><item><title>Building a $2,000 Local AI Workstation in 2026: Complete Parts List and the Memory Crunch That Changed the Math</title><link>https://runaihome.com/blog/2000-local-ai-workstation-parts-list-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/2000-local-ai-workstation-parts-list-2026/</guid><description>Complete $2,000 local AI workstation parts list for May 2026: RTX 5070 Ti 16GB build with verified prices, 58 tok/s benchmarks, and honest guidance on the DDR5 price crisis that broke the old equation.</description><pubDate>Fri, 22 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>$20K local AI coding workstation in 2026: what hardware actually runs agentic workflows</title><link>https://runaihome.com/blog/20k-local-ai-coding-workstation-agentic-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/20k-local-ai-coding-workstation-agentic-2026/</guid><description>Thinking about spending $20K on hardware for a local coding agent? Here are the three builds that make sense, the one that doesn&apos;t, and the honest breakeven math against RunPod.</description><pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>The $400/month GPU Bill: How Indie Devs Are Overpaying for Cloud AI Infrastructure (2026)</title><link>https://runaihome.com/blog/400-monthly-gpu-bill-indie-dev-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/400-monthly-gpu-bill-indie-dev-2026/</guid><description>Five spending patterns burning $300–700/month in unnecessary cloud GPU costs — and the verified 2026 pricing data to escape each one.</description><pubDate>Thu, 21 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Cursor vs Continue.dev vs Cline vs Aider vs Claude Code: Best AI Coding Assistant in 2026</title><link>https://runaihome.com/blog/ai-coding-assistants-comparison/</link><guid isPermaLink="true">https://runaihome.com/blog/ai-coding-assistants-comparison/</guid><description>Five serious AI coding tools, side by side: Cursor, Continue.dev, Cline, Aider, and Claude Code. Differences in pricing, IDE integration, agent capability, local-model support, and what each one is actually good for.</description><pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>GLM-5.2 and the AI Margin Collapse in 2026: Does Cheap Cloud Break the Home-Lab GPU Case?</title><link>https://runaihome.com/blog/ai-margin-collapse-gpu-roi-home-lab-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/ai-margin-collapse-gpu-roi-home-lab-2026/</guid><description>Frontier-class API prices fell to pennies in mid-2026. Here&apos;s the honest buy-vs-API break-even math for a used RTX 3090 — and where owning the GPU still wins.</description><pubDate>Fri, 10 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>How to Build an Air-Gapped Local AI Workstation in 2026: The Hardware Checklist After the Hugging Face Breach</title><link>https://runaihome.com/blog/air-gapped-local-ai-workstation-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/air-gapped-local-ai-workstation-hardware-guide-2026/</guid><description>Air-gapped local AI workstation build guide for 2026: GPU and storage checklist, sneakernet model transfers, firewall enforcement, and how to verify the gap.</description><pubDate>Sat, 08 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>AMD Advancing AI 2026: What the MI455X, Zen 6 Venice, and Helios Actually Mean for Your Home Lab Budget</title><link>https://runaihome.com/blog/amd-advancing-ai-2026-home-lab-impact/</link><guid isPermaLink="true">https://runaihome.com/blog/amd-advancing-ai-2026-home-lab-impact/</guid><description>AMD&apos;s Advancing AI 2026 event was all datacenter: MI455X, Helios, Zen 6 Venice. What it changes for $500-$3,000 GPU buyers, and when RDNA 5 really ships.</description><pubDate>Sat, 25 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>AMD GPU Not Detected by Ollama or ROCm? Fix &apos;No Compatible GPUs&apos; with HSA_OVERRIDE_GFX_VERSION (2026)</title><link>https://runaihome.com/blog/amd-gpu-not-detected-rocm-hsa-override-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/amd-gpu-not-detected-rocm-hsa-override-fix-2026/</guid><description>Ollama falling back to CPU on your Radeon card? Here&apos;s how to read the ROCm error, find your gfx target, and force GPU acceleration with HSA_OVERRIDE_GFX_VERSION in 2026.</description><pubDate>Fri, 17 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>AMD Lemonade 10.7 Now Runs on NVIDIA GPUs: What the CUDA Update Changes for RTX Owners</title><link>https://runaihome.com/blog/amd-lemonade-10-7-nvidia-cuda-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/amd-lemonade-10-7-nvidia-cuda-local-ai-2026/</guid><description>Lemonade 10.7 adds llama.cpp CUDA support on Windows and Linux, so RTX 3090/4090/5090 owners can finally use AMD&apos;s local AI server. Setup, backends, and honest verdict vs Ollama.</description><pubDate>Wed, 01 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>AMD Lemonade Local LLM Server: GPU + NPU Inference on Consumer Hardware (2026 Guide)</title><link>https://runaihome.com/blog/amd-lemonade-local-llm-server-npu-gpu-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/amd-lemonade-local-llm-server-npu-gpu-guide-2026/</guid><description>Lemonade is AMD&apos;s open-source local AI server that splits LLM workloads across GPU and NPU for faster inference. Here&apos;s how it works, what hardware you need, and how it compares to Ollama.</description><pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>AMD Radeon AI PRO R9700 for Local AI in 2026: 32GB for $1,299 and the Real tok/s Numbers</title><link>https://runaihome.com/blog/amd-radeon-ai-pro-r9700-local-ai-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/amd-radeon-ai-pro-r9700-local-ai-hardware-guide-2026/</guid><description>AMD Radeon AI PRO R9700 review for local LLMs: 32GB GDDR6, 640 GB/s, ROCm 7.2 native, real llama.cpp benchmarks, and how it stacks up against RTX 4090 and used RTX 3090.</description><pubDate>Thu, 23 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>AMD ROCm 7.2 on Windows in 2026: Tested on RDNA 3 &amp; 4 (Real Results)</title><link>https://runaihome.com/blog/amd-rocm-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/amd-rocm-local-ai-2026/</guid><description>ROCm 7.2 finally adds Windows support for RDNA 4 and improves RDNA 3 stability. Tested Ollama, llama.cpp, and ComfyUI: exactly what works, what crashes, and whether AMD is worth buying for local AI in 2026.</description><pubDate>Tue, 19 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>AMD Ryzen AI Halo vs NVIDIA DGX Spark 2026: Which 128GB AI Dev Kit Actually Pays Off</title><link>https://runaihome.com/blog/amd-ryzen-ai-halo-vs-nvidia-dgx-spark-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/amd-ryzen-ai-halo-vs-nvidia-dgx-spark-2026/</guid><description>AMD Ryzen AI Halo vs NVIDIA DGX Spark: real tokens/sec on gpt-oss 120B, the 5× prompt-processing gap, ROCm vs CUDA, and which $3,000–$4,000 AI mini PC is worth it.</description><pubDate>Wed, 24 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>AnythingLLM vs Open WebUI vs LibreChat in 2026: Which Self-Hosted AI Interface Should You Use?</title><link>https://runaihome.com/blog/anythingllm-vs-open-webui-vs-librechat-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/anythingllm-vs-open-webui-vs-librechat-2026/</guid><description>Practical three-way comparison of AnythingLLM, Open WebUI, and LibreChat for self-hosted local AI — RAG, multi-user, agents, deployment complexity, and who each tool is actually for.</description><pubDate>Fri, 29 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Apple MacBook Pro M5 Max for Local AI in 2026: 128GB Unified Memory, Neural Accelerators, and Whether It Beats a Discrete GPU Tower</title><link>https://runaihome.com/blog/apple-m5-max-macbook-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/apple-m5-max-macbook-local-ai-2026/</guid><description>M5 Max delivers 82 tok/s on Llama 8B and runs 70B models at 18–25 tok/s that NVIDIA cards can&apos;t fit. Here&apos;s who should spend the $5K+.</description><pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Apple M7 AI Chips in 2026: Should Home Lab Mac Buyers Wait or Buy M5 Now?</title><link>https://runaihome.com/blog/apple-m7-ai-chip-home-lab-mac-buyers-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/apple-m7-ai-chip-home-lab-mac-buyers-guide-2026/</guid><description>Apple is reportedly skipping the high-end M6 for an AI-focused M7 line. Here&apos;s what that timeline means for local AI Mac buyers — and why you shouldn&apos;t wait.</description><pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>ATLAS on a $429 GPU: The 74.6% LiveCodeBench Claim, the Fine Print, and What a 14B Model Really Beats</title><link>https://runaihome.com/blog/atlas-rtx-5060-ti-qwen3-livecodebench-vs-claude-sonnet-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/atlas-rtx-5060-ti-qwen3-livecodebench-vs-claude-sonnet-2026/</guid><description>ATLAS scores 74.6% on LiveCodeBench with Qwen3-14B on an RTX 5060 Ti 16GB. The multi-shot fine print, real tok/s numbers, and when it beats the Claude API.</description><pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>audio.cpp in 2026: Run 20 Audio AI Models Locally on One C++/GGML Engine — Speedups, VRAM, and Which GPU You Actually Need</title><link>https://runaihome.com/blog/audio-cpp-local-tts-gpu-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/audio-cpp-local-tts-gpu-guide-2026/</guid><description>audio.cpp runs TTS, voice cloning, and STT up to 5x faster than Python with no Python at all. The honest hardware guide: real RTF numbers, VRAM per model, and why a cheap GPU is plenty.</description><pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Backing Up Your Local AI Setup: Models, Configs, and Workflows (2026)</title><link>https://runaihome.com/blog/backing-up-local-ai-setup-models-configs-workflows-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/backing-up-local-ai-setup-models-configs-workflows-2026/</guid><description>A practical guide to backing up Ollama models, ComfyUI workflows, Open WebUI data, and Continue.dev configs — what to copy, where it lives, and how to automate it.</description><pubDate>Sun, 17 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Best CPU for Local AI in 2026: What Ryzen and Intel Actually Deliver for LLMs</title><link>https://runaihome.com/blog/best-cpu-ai-workstation-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/best-cpu-ai-workstation-2026/</guid><description>For single-GPU local AI, almost any modern CPU works fine — until it does not. Real benchmarks showing exactly when CPU is the bottleneck, plus specific Ryzen and Intel picks for each local LLM use case in 2026.</description><pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Best CPUs for LLM Inference in 2026: Ranked by the Only Spec That Matters</title><link>https://runaihome.com/blog/best-cpu-for-llm-inference-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/best-cpu-for-llm-inference-2026/</guid><description>Best CPUs for LLM inference in 2026, ranked by memory bandwidth — real tokens/sec for Ryzen 9950X, used EPYC Genoa, Xeon 6 AMX, and Ryzen AI Max+ 395.</description><pubDate>Fri, 14 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Best Local LLM for Every RTX 50-Series GPU in 2026: Model, Quant, and Tok/s to Target on Each Card</title><link>https://runaihome.com/blog/best-llm-every-rtx-50-series-gpu-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/best-llm-every-rtx-50-series-gpu-2026/</guid><description>From the RTX 5060 8GB to the RTX 5090 32GB — which local LLM and quant fits each Blackwell card, the realistic tokens/sec to expect, and why the GDDR7 shortage broke the price ladder.</description><pubDate>Tue, 30 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Best Local AI Models for 8GB VRAM in August 2026: What Fits, What Flies, and What to Skip</title><link>https://runaihome.com/blog/best-local-ai-models-8gb-vram-august-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/best-local-ai-models-8gb-vram-august-2026/</guid><description>The best local LLMs for 8GB VRAM cards in August 2026: Qwen3.5-9B at 38 tok/s, Gemma 4 12B QAT, real file sizes, the context trap, and honest GPU advice.</description><pubDate>Wed, 05 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Best Local AI Models for Each VRAM Tier (4 GB to 80 GB) in 2026</title><link>https://runaihome.com/blog/best-local-ai-models-by-vram/</link><guid isPermaLink="true">https://runaihome.com/blog/best-local-ai-models-by-vram/</guid><description>A pragmatic shopping list of the best local AI models — language, image, and audio — for each common GPU VRAM tier from 4 GB integrated graphics up through 80 GB datacenter cards.</description><pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Best Local Coding LLM in 2026: Qwen2.5-Coder vs DeepSeek-Coder-V2 vs Codestral</title><link>https://runaihome.com/blog/best-local-coding-llm-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/best-local-coding-llm-2026/</guid><description>Three VRAM tiers, four serious contenders. Verified HumanEval scores, real VRAM requirements, and a use-case decision matrix for picking the right coding model in 2026.</description><pubDate>Fri, 22 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Best Local LLMs for 12GB VRAM in 2026: The Cheapest Ticket Into the 14B Class</title><link>https://runaihome.com/blog/best-local-llm-12gb-vram-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/best-local-llm-12gb-vram-2026/</guid><description>The best local LLMs for 12GB VRAM in 2026: Qwen3-14B at 9GB, Phi-4 reasoning, Gemma 4 12B QAT, real GGUF sizes, the 8K-context trap, and honest upgrade math.</description><pubDate>Tue, 11 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Best Local LLMs for 16GB VRAM in 2026: The 20B–26B Class, Including the Best Coding Model</title><link>https://runaihome.com/blog/best-local-llm-16gb-vram-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/best-local-llm-16gb-vram-2026/</guid><description>The best local LLMs for 16GB VRAM in 2026: Gemma 4 26B QAT at ~15GB, GPT-OSS 20B at 82 tok/s, Devstral Small 2 for coding, real GGUF sizes, and upgrade math.</description><pubDate>Wed, 12 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Best Local LLMs for 24GB VRAM in 2026: The 27B–35B Class on RTX 3090 and RTX 4090</title><link>https://runaihome.com/blog/best-local-llm-24gb-vram-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/best-local-llm-24gb-vram-2026/</guid><description>The best local LLMs for 24GB VRAM in 2026: Qwen3.6-27B at 77.2% SWE-bench, the 107 tok/s MoE class, Gemma 4 31B QAT, real GGUF sizes, and what still won&apos;t fit.</description><pubDate>Wed, 12 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Best Local LLMs for 32GB VRAM in 2026: The First Single Card That Holds a 70B</title><link>https://runaihome.com/blog/best-local-llm-32gb-vram-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/best-local-llm-32gb-vram-2026/</guid><description>The best local LLMs for 32GB VRAM in 2026: Qwen3.6-35B-A3B at Q5, the 70B that finally fits at IQ3, real GGUF sizes, and the $1,299 card nobody talks about.</description><pubDate>Thu, 13 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Best Local LLMs for 6GB VRAM in 2026: The Realistic List</title><link>https://runaihome.com/blog/best-local-llm-6gb-vram-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/best-local-llm-6gb-vram-2026/</guid><description>The best local LLMs for 6GB VRAM in 2026: Qwen3.5-4B at 2.74GB, Gemma 4 E4B QAT, Llama 3.2 3B at 50 tok/s on an RTX 2060, the 7B trap, and honest upgrade math.</description><pubDate>Thu, 13 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Best Open-Source LLMs for Your GPU: July 2026 Leaderboard</title><link>https://runaihome.com/blog/best-open-source-llms-gpu-july-2026-leaderboard/</link><guid isPermaLink="true">https://runaihome.com/blog/best-open-source-llms-gpu-july-2026-leaderboard/</guid><description>GLM-5.2, Inkling, and Kimi K3 shook up the open-source LLM leaderboard — but the best models you can actually run on a 24GB GPU haven&apos;t changed.</description><pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>AI on a Budget: $500 Total Build for Local LLM Inference (2026)</title><link>https://runaihome.com/blog/budget-500-local-llm-inference-build-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/budget-500-local-llm-inference-build-2026/</guid><description>Three real paths to running local AI for $500 or less in 2026 — used RTX 3060 add-in, full scratch build, or AMD APU mini PC. Verified parts list, tokens/sec benchmarks, honest trade-offs.</description><pubDate>Thu, 21 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>CanIRun.ai Review 2026: The Browser Tool That Tells You Which LLMs Your GPU Can Run</title><link>https://runaihome.com/blog/canirun-ai-local-llm-hardware-checker-review-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/canirun-ai-local-llm-hardware-checker-review-2026/</guid><description>CanIRun.ai grades every open LLM against your hardware in one browser tab, no install. But WebGPU can&apos;t read your VRAM directly, so here&apos;s what it actually measures, how accurate its tokens/sec math is, and when to trust it.</description><pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>China&apos;s H200 Approval and Your GPU Budget: Does Nvidia Selling to Alibaba Make Your Home-Lab Build More Expensive?</title><link>https://runaihome.com/blog/china-h200-gpu-supply-consumer-prices-home-lab-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/china-h200-gpu-supply-consumer-prices-home-lab-2026/</guid><description>Beijing is letting Alibaba, ByteDance, and DeepSeek buy Nvidia H200s. Here&apos;s the honest supply-chain math on whether it raises consumer RTX prices — and what to actually buy in 2026.</description><pubDate>Sat, 11 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Run Claude Code on Your Own GPU in 2026: The Ollama Setup, Which Models Actually Work, and the Context Trap</title><link>https://runaihome.com/blog/claude-code-ollama-local-models-setup-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/claude-code-ollama-local-models-setup-2026/</guid><description>Claude Code now runs against local models with one command: ollama launch claude. Setup, VRAM math for GLM-4.7-Flash and Qwen3-Coder, and the 4,096-token trap.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Cloud GPU Pricing Compared: RunPod vs Vast.ai vs Lambda Labs (2026)</title><link>https://runaihome.com/blog/cloud-gpu-pricing-runpod-vast-lambda-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/cloud-gpu-pricing-runpod-vast-lambda-2026/</guid><description>RunPod, Vast.ai, and Lambda Labs GPU hourly rates compared for AI workloads in 2026. RTX 4090 from $0.27/hr, H100 from $1.99/hr — which platform wins for your use case?</description><pubDate>Wed, 20 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Codestral 2 for Local AI in 2026: Apache 2.0, 22B Params, 256K Context — Which GPU Runs It Best</title><link>https://runaihome.com/blog/codestral-2-local-ai-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/codestral-2-local-ai-hardware-guide-2026/</guid><description>Codestral 2 went Apache 2.0 in April 2026. Here is the real VRAM, GGUF size, and tokens/sec you get running Mistral&apos;s 22B coding model on a 3090, 4090, or 4060 Ti.</description><pubDate>Sat, 20 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Comfy Desktop 2026: One App for Local, Remote, Portable, and Cloud ComfyUI (and Whether to Switch)</title><link>https://runaihome.com/blog/comfy-desktop-local-remote-setup-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/comfy-desktop-local-remote-setup-guide-2026/</guid><description>Comfy Desktop now manages local, remote, portable, and cloud ComfyUI from one window. Here&apos;s what changed in 2026, real setup steps, and whether it&apos;s worth leaving the web UI.</description><pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>ComfyUI Black Image Output? Fix NaN Latents, VAE Precision, and the GTX 16-Series Trap (2026)</title><link>https://runaihome.com/blog/comfyui-black-image-output-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/comfyui-black-image-output-fix-2026/</guid><description>Black or NaN images from ComfyUI? The exact fixes by cause — fp16 VAE NaNs, wrong VAE, GTX 16-series fp16, extreme CFG, and the 2026 Z-Image bug.</description><pubDate>Mon, 22 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>ComfyUI &quot;Expected All Tensors to Be on the Same Device&quot;? Read the Parentheses, Then Fix It (2026)</title><link>https://runaihome.com/blog/comfyui-expected-all-tensors-same-device-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/comfyui-expected-all-tensors-same-device-fix-2026/</guid><description>Fix ComfyUI&apos;s &apos;Expected all tensors to be on the same device&apos; RuntimeError: decode the traceback, spot the CPU-offload split, and pick the right flag.</description><pubDate>Tue, 04 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>ComfyUI Custom Node &quot;IMPORT FAILED&quot;? Read the Traceback, Then Fix It (2026)</title><link>https://runaihome.com/blog/comfyui-import-failed-custom-node-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/comfyui-import-failed-custom-node-fix-2026/</guid><description>The IMPORT FAILED summary line tells you nothing. The real fix is in the traceback above it. Here&apos;s how to read it and fix every common cause on Windows, Linux, and Mac.</description><pubDate>Mon, 22 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>ComfyUI on Linux: Production Setup with systemd, HTTPS, and Remote Access (2026)</title><link>https://runaihome.com/blog/comfyui-linux-production-setup-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/comfyui-linux-production-setup-2026/</guid><description>Production ComfyUI on Ubuntu 24.04: systemd autostart, Caddy HTTPS reverse proxy, Tailscale remote access, and the authentication gap every home server guide skips. Tested June 2026.</description><pubDate>Mon, 11 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>ComfyUI NVFP4 in 2026: 3× Faster Image Generation on RTX 50-Series (and the Right Format for RTX 40-Series)</title><link>https://runaihome.com/blog/comfyui-nvfp4-rtx-speed-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/comfyui-nvfp4-rtx-speed-guide-2026/</guid><description>NVFP4 delivers 7.73 it/s on FLUX 1 Dev vs 4.21 it/s for FP8 on RTX 50-series — but RTX 40-series has no native FP4 tensor cores. Here&apos;s the right format for every GPU tier.</description><pubDate>Mon, 08 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>ComfyUI &apos;Paging File Is Too Small&apos; (os error 1455)? Fix Windows Virtual Memory for Local AI (2026)</title><link>https://runaihome.com/blog/comfyui-paging-file-too-small-os-error-1455-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/comfyui-paging-file-too-small-os-error-1455-fix-2026/</guid><description>Fix ComfyUI os error 1455 — &apos;the paging file is too small&apos; — on Windows: the commit-limit math behind it, exact pagefile settings, and how to shrink model-load spikes.</description><pubDate>Tue, 21 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>ComfyUI &apos;Prompt Outputs Failed Validation&apos;? Read the Error, Then Fix It (2026)</title><link>https://runaihome.com/blog/comfyui-prompt-outputs-failed-validation-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/comfyui-prompt-outputs-failed-validation-fix-2026/</guid><description>Every fix for ComfyUI&apos;s &apos;Prompt outputs failed validation&apos; error: missing model files, &apos;Value not in list&apos;, empty [] folders, custom-node enum drift, and &apos;Required input is missing&apos; — with the exact error strings decoded.</description><pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>ComfyUI Stuck on &quot;Reconnecting&quot;? It&apos;s Not Your Network — Read the Terminal (2026)</title><link>https://runaihome.com/blog/comfyui-reconnecting-error-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/comfyui-reconnecting-error-fix-2026/</guid><description>The red Reconnecting banner means your browser lost the WebSocket to the Python backend, and the backend almost always crashed first. Here&apos;s how to find why — OOM, custom nodes, or port conflicts — and fix each one.</description><pubDate>Tue, 30 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>ComfyUI &apos;Torch not compiled with CUDA enabled&apos;? Every Fix That Works on Windows, Linux, and Mac (2026)</title><link>https://runaihome.com/blog/comfyui-torch-not-compiled-with-cuda-enabled-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/comfyui-torch-not-compiled-with-cuda-enabled-fix-2026/</guid><description>Got &apos;AssertionError: Torch not compiled with CUDA enabled&apos; in ComfyUI? Here&apos;s why pip handed you a CPU-only PyTorch and the exact commands to reinstall the GPU build.</description><pubDate>Thu, 18 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>How to Install ComfyUI on Windows in 2026: Easiest Method (NVIDIA &amp; AMD)</title><link>https://runaihome.com/blog/comfyui-windows-setup-guide/</link><guid isPermaLink="true">https://runaihome.com/blog/comfyui-windows-setup-guide/</guid><description>Install ComfyUI on Windows in under 15 minutes using the portable version — no Python setup needed. Covers model download, first image generation, and the 5 custom nodes worth installing right away.</description><pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Computex 2026 AI Hardware Reality Check: RTX Spark Laptops, NPU Desktops, and Whether the &apos;Agentic PC Era&apos; Changes Your Home Lab Math</title><link>https://runaihome.com/blog/computex-2026-ai-hardware-roundup-home-lab-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/computex-2026-ai-hardware-roundup-home-lab-2026/</guid><description>Computex 2026 bet everything on agentic AI PCs — RTX Spark, Ryzen AI Max 400, 40-TOPS NPUs. Here&apos;s what the benchmarks say about home lab builds vs a discrete GPU tower.</description><pubDate>Fri, 12 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Continue.dev + Ollama Setup Guide 2026: Config.yaml, Model Selection, Zero Cloud</title><link>https://runaihome.com/blog/continue-dev-ollama-local-ai-coding-stack-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/continue-dev-ollama-local-ai-coding-stack-2026/</guid><description>Step-by-step Continue.dev + Ollama setup in 2026: full config.yaml walkthrough, dual-model config that eliminates autocomplete lag, VRAM-based model picks, and benchmarks vs cloud APIs.</description><pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>CPU vs GPU for Local LLM Inference in 2026: The EPYC Tokens-per-Dollar Dream Meets the DRAM Crisis</title><link>https://runaihome.com/blog/cpu-vs-gpu-llm-inference-home-lab-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/cpu-vs-gpu-llm-inference-home-lab-2026/</guid><description>CPU vs GPU for local LLM inference in 2026: real EPYC and Ryzen tok/s numbers, the DRAM price crisis math, and the one case where CPU actually wins.</description><pubDate>Mon, 10 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>CUDA Error: No Kernel Image Is Available? Fix the PyTorch sm_120 and Old-GPU Mismatch (2026)</title><link>https://runaihome.com/blog/cuda-no-kernel-image-available-pytorch-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/cuda-no-kernel-image-available-pytorch-fix-2026/</guid><description>Fix &apos;RuntimeError: CUDA error: no kernel image is available for execution on the device&apos;: RTX 50-series sm_120 wheels, dropped Pascal support, and rebuilds.</description><pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>CUDA Out of Memory on Local AI? Every Fix That Works for Ollama, llama.cpp, ComfyUI, and vLLM (2026)</title><link>https://runaihome.com/blog/cuda-out-of-memory-local-ai-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/cuda-out-of-memory-local-ai-fix-2026/</guid><description>Hit torch.OutOfMemoryError or a CUDA OOM on your local LLM or image model? Here are the fixes that actually free VRAM in Ollama, llama.cpp, ComfyUI, and vLLM.</description><pubDate>Sun, 14 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Could Not Locate cudnn_ops64_9.dll? Fix the cuDNN 9 Error in Faster-Whisper, WhisperX, and CTranslate2 (2026)</title><link>https://runaihome.com/blog/cudnn-ops64-9-dll-error-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/cudnn-ops64-9-dll-error-fix-2026/</guid><description>Fix &apos;Could not locate cudnn_ops64_9.dll&apos; and &apos;Unable to load libcudnn_ops.so.9&apos; in faster-whisper and WhisperX: why CTranslate2 4.5 broke it, four working fixes.</description><pubDate>Thu, 06 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Run Cursor with a Local Model: Privacy-First AI Coding Without a Subscription</title><link>https://runaihome.com/blog/cursor-with-local-llm/</link><guid isPermaLink="true">https://runaihome.com/blog/cursor-with-local-llm/</guid><description>A practical setup guide for using Cursor (or VS Code with Continue.dev) backed by a local Llama or Qwen model — full AI code completion without sending your codebase to a third-party API.</description><pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>DDR5 and SSD Prices Doubled in 2026: How AI&apos;s HBM Shortage Is Wrecking Home Lab Build Budgets (and What to Buy Now)</title><link>https://runaihome.com/blog/ddr5-ssd-price-surge-ai-hbm-impact-local-builds-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/ddr5-ssd-price-surge-ai-hbm-impact-local-builds-2026/</guid><description>DRAM prices jumped 90–95% QoQ in Q1 2026 and NAND flash has doubled. Here&apos;s what that means for local AI build costs and how to navigate the shortage.</description><pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>DeepSeek R1 Distilled Models for Local AI: Which Version Fits Your GPU (2026)</title><link>https://runaihome.com/blog/deepseek-r1-distilled-local-inference-vram-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/deepseek-r1-distilled-local-inference-vram-guide-2026/</guid><description>Six distilled sizes, from 1.5B to 70B. Here are the exact VRAM requirements, benchmark quality scores, and tokens-per-second numbers for each, so you can pick the right one tonight.</description><pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>DeepSeek&apos;s &apos;Significant&apos; Price Hike: The Token Volume Where Buying a GPU Finally Beats the API</title><link>https://runaihome.com/blog/deepseek-v4-flash-price-hike-gpu-roi-update-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/deepseek-v4-flash-price-hike-gpu-roi-update-2026/</guid><description>DeepSeek warned of a significant V4-Flash API price increase. We ran the used RTX 3090, 3060, and 4060 break-even math at 2× and 5× hike scenarios.</description><pubDate>Sun, 09 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>DeepSeek V4 Peak-Hour Pricing 2026: Does the 2× Surcharge Change Your GPU Buy-vs-API Math?</title><link>https://runaihome.com/blog/deepseek-v4-peak-pricing-gpu-roi-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/deepseek-v4-peak-pricing-gpu-roi-2026/</guid><description>DeepSeek V4 doubles API prices 9am–6pm Beijing time. We ran the buy-vs-API break-even on a used RTX 3090 and RTX 4090 — the surcharge adds cents, and local hardware still doesn&apos;t pay back on cost. Here&apos;s what actually justifies the buy.</description><pubDate>Wed, 08 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>DeepSeek V4 Pro vs V4-Flash Hardware Guide 2026: The Honest VRAM Math for Every GPU Tier</title><link>https://runaihome.com/blog/deepseek-v4-pro-vs-v4-flash-vram-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/deepseek-v4-pro-vs-v4-flash-vram-guide-2026/</guid><description>DeepSeek V4-Pro (1.6T/49B active) is cloud-only; V4-Flash (284B/13B active) is the home-lab path — but the real INT4 VRAM math says 4× RTX 4090 won&apos;t cut it. Here&apos;s which GPU setup actually runs each, and why the API usually wins.</description><pubDate>Wed, 08 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>DeepSeek V4 vs Qwen3 for Local AI in 2026: Which Model Family Fits Your GPU?</title><link>https://runaihome.com/blog/deepseek-v4-vs-qwen3-local-ai-gpu-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/deepseek-v4-vs-qwen3-local-ai-gpu-guide-2026/</guid><description>DeepSeek V4 Flash needs 103 GB VRAM minimum. Qwen3&apos;s MoE variants hit 120 tok/s on a single RTX 3090. Here is the real hardware decision tree.</description><pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Dell Deskside Agentic AI 2026: GB10, GB300, and the 87% Cloud Savings Claim Examined</title><link>https://runaihome.com/blog/dell-deskside-agentic-ai-workstation-home-lab-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/dell-deskside-agentic-ai-workstation-home-lab-2026/</guid><description>Dell&apos;s deskside agentic AI workstations promise 87% cloud savings and a 3-month break-even. We check the GB10 and GB300 specs against real bandwidth limits and a used RTX 3090.</description><pubDate>Sat, 27 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Devstral Small 2 for Local AI in 2026: Which GPU Runs Mistral&apos;s Best Open-Source Coding Model?</title><link>https://runaihome.com/blog/devstral-small-2-local-ai-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/devstral-small-2-local-ai-hardware-guide-2026/</guid><description>Devstral Small 2 is a 24B Apache 2.0 coding model scoring 68% on SWE-bench. Here is the exact GPU you need to run it locally — with real token-speed numbers.</description><pubDate>Sat, 30 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>DiffusionGemma 26B for Local AI in 2026: 18GB VRAM, 4× Faster Generation, and Which Consumer GPUs Actually Saturate the 1,000 tok/s Ceiling</title><link>https://runaihome.com/blog/diffusion-gemma-26b-local-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/diffusion-gemma-26b-local-hardware-guide-2026/</guid><description>DiffusionGemma 26B-A4B runs in 18GB VRAM at NVFP4 and hits 700 tok/s on RTX 5090. Real speeds, the Blackwell-only catch, and which GPU you actually need.</description><pubDate>Fri, 12 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Docker: could not select device driver with capabilities gpu — Every Fix for NVIDIA GPU Passthrough in 2026</title><link>https://runaihome.com/blog/docker-gpu-passthrough-could-not-select-device-driver-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/docker-gpu-passthrough-could-not-select-device-driver-fix-2026/</guid><description>Fix the &apos;could not select device driver with capabilities [[gpu]]&apos; error and get Ollama, ComfyUI, and vLLM to see your NVIDIA GPU inside Docker in 2026.</description><pubDate>Sat, 04 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Dual RTX 3090 for Local LLMs in 2026: The Silent PCIe Killer (IOMMU, ACS, ASPM, and the P2P Config That Makes 48GB Actually Deliver)</title><link>https://runaihome.com/blog/dual-rtx-3090-pcie-iommu-acs-nccl-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/dual-rtx-3090-pcie-iommu-acs-nccl-guide-2026/</guid><description>Most dual RTX 3090 home-lab rigs run below spec because of BIOS defaults. Here&apos;s how to check your PCIe topology, fix IOMMU/ACS P2P routing and ASPM stutter, and turn 48GB into a real 1.5–2× speedup.</description><pubDate>Tue, 14 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>EXO Framework in 2026: Can You Pool RTX 3090s to Beat a DGX Spark? The Honest Distributed-Inference Reality</title><link>https://runaihome.com/blog/exo-framework-distributed-vram-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/exo-framework-distributed-vram-local-ai-2026/</guid><description>EXO pools VRAM across devices to run 70B+ models locally — but its NVIDIA support is a community fork, and distributed inference adds capacity, not speed. Here&apos;s the real math.</description><pubDate>Thu, 11 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>How to Self-Host Flux 2 in 2026: Real VRAM Numbers for Every GGUF Tier, and Whether to Upgrade From Flux.1-dev</title><link>https://runaihome.com/blog/flux-2-self-hosting-vram-gguf-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/flux-2-self-hosting-vram-gguf-guide-2026/</guid><description>Self-host Flux 2 locally: verified VRAM numbers for every dev GGUF quant (12.9-35GB), Klein 4B/9B on 8-16GB cards, ComfyUI setup, and the Flux.1 upgrade math.</description><pubDate>Sun, 09 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>FLUX.1 Kontext Dev for Local AI in 2026: Image Editing on Consumer GPUs Without the API Bills</title><link>https://runaihome.com/blog/flux-kontext-dev-local-comfyui-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/flux-kontext-dev-local-comfyui-2026/</guid><description>FLUX.1 Kontext dev is a 12B image-editing model that fits in 7–24GB VRAM depending on quantization. Here&apos;s the real VRAM math, ComfyUI setup, and the break-even point vs $0.04/image API calls.</description><pubDate>Wed, 03 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Flux vs SDXL vs SD 1.5: Real Cost-per-Image Across GPUs (2026)</title><link>https://runaihome.com/blog/flux-vs-sdxl-vs-sd15-cost-per-image-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/flux-vs-sdxl-vs-sd15-cost-per-image-2026/</guid><description>Verified generation speeds and electricity cost-per-image for Flux.1 Dev, Flux.1 Schnell, SDXL, and SD 1.5 across RTX 3090 and RTX 4090 — plus when local beats Midjourney.</description><pubDate>Tue, 19 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Flux vs SDXL vs SD 1.5: Cost-per-Image Comparison Across GPUs (2026)</title><link>https://runaihome.com/blog/flux-vs-sdxl-vs-sd15-cost-per-image-gpu-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/flux-vs-sdxl-vs-sd15-cost-per-image-gpu-2026/</guid><description>SD 1.5 generates 1,000 images for $0.03–0.05 in electricity. Flux.1 Dev costs 10× more per image on the same hardware. Here is the full math across RTX 3060, 3090, and 4090.</description><pubDate>Wed, 20 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Gemma 4 26B on CPU Only: Running It at 5 tok/s on a 13-Year-Old Xeon With No GPU (2026 Guide)</title><link>https://runaihome.com/blog/gemma-4-26b-cpu-only-xeon-home-lab-inference-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/gemma-4-26b-cpu-only-xeon-home-lab-inference-2026/</guid><description>A home-lab guide to running Gemma 4 26B on a GPU-free Xeon server. Why the MoE architecture makes ~5 tok/s possible, the ik_llama.cpp setup, the AVX1 gotcha, and when CPU inference actually beats buying a GPU.</description><pubDate>Sat, 18 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Gemma 4 July 2026 Weight Refresh: Flash Attention 4, Tool-Calling Fixes, and What Your GPU Actually Gets</title><link>https://runaihome.com/blog/gemma-4-july-2026-flash-attention-4-prefill-ollama-update/</link><guid isPermaLink="true">https://runaihome.com/blog/gemma-4-july-2026-flash-attention-4-prefill-ollama-update/</guid><description>Gemma 4&apos;s July 2026 update adds Flash Attention 4 prefill gains on H100 — but not on RTX cards. What home labs actually get, and how to update Ollama.</description><pubDate>Sun, 26 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Google Gemma 4 for Local AI: Which Size Fits Your GPU? (2026 Guide)</title><link>https://runaihome.com/blog/gemma-4-local-ai-gpu-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/gemma-4-local-ai-gpu-guide-2026/</guid><description>Gemma 4 launched April 2, 2026 under Apache 2.0 with four model variants. Here&apos;s exactly which size fits your GPU and what inference speeds to expect.</description><pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Gemma 4 QAT for Local AI in 2026: How Google&apos;s June 5 Checkpoints Put the 26B in 15GB</title><link>https://runaihome.com/blog/gemma-4-qat-local-ai-hardware-update-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/gemma-4-qat-local-ai-hardware-update-2026/</guid><description>Google&apos;s June 5 2026 Gemma 4 QAT checkpoints cut VRAM ~72%. New memory map, the Unsloth conversion trap, and which GPU you now actually need.</description><pubDate>Sun, 14 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Run GLM-5.2 at Home: Inside the $50K Four-RTX-PRO-6000 Build That Hits 80 tok/s at 460K Context (2026)</title><link>https://runaihome.com/blog/glm-5-2-4x-rtx-pro-6000-home-lab-build-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/glm-5-2-4x-rtx-pro-6000-home-lab-build-2026/</guid><description>Jamesob&apos;s four-RTX-PRO-6000 Blackwell build runs a pruned GLM-5.2 at ~80 tok/s with 460K context. The real July 2026 cost, the PCIe switch trick, and who should actually build it.</description><pubDate>Wed, 22 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>GLM 5.2 for Local AI in 2026: 744B MoE, MIT License, and Why It&apos;s Effectively Cloud-Only at Home</title><link>https://runaihome.com/blog/glm-5-2-local-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/glm-5-2-local-hardware-guide-2026/</guid><description>GLM 5.2 tops coding benchmarks under an MIT license, but the smallest usable GGUF is 241GB. Here&apos;s the real VRAM math and why most home labs should use the API.</description><pubDate>Fri, 19 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>GMKtec EVO-X2 Review 2026: A Sub-$2,000 Mini PC That Runs 235B Models on Ryzen AI Max+ 395</title><link>https://runaihome.com/blog/gmktec-evo-x2-ryzen-ai-max-local-llm-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/gmktec-evo-x2-ryzen-ai-max-local-llm-2026/</guid><description>Real tokens/sec by model tier, power draw, and the 6-month cloud break-even math for the GMKtec EVO-X2 — and whether its 128GB unified memory beats a discrete GPU tower.</description><pubDate>Tue, 23 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>GPT-5.6 Luna at $0.20/M Input: Does OpenAI&apos;s 80% Price Cut Kill the Home GPU ROI Math?</title><link>https://runaihome.com/blog/gpt-56-luna-gpu-roi-update-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/gpt-56-luna-gpu-roi-update-2026/</guid><description>GPT-5.6 Luna&apos;s 80% price cut vs a used RTX 4090: real breakeven math, electricity cost per million tokens, and where local AI still wins in 2026.</description><pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>GPT-OSS 20B for local AI in 2026: 225 tok/s on RTX 4090, the 128k context trap, and which GPU you actually need</title><link>https://runaihome.com/blog/gpt-oss-20b-local-ai-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/gpt-oss-20b-local-ai-hardware-guide-2026/</guid><description>OpenAI&apos;s first open-weight model fits on a 16GB GPU. Real benchmarks on 8 consumer cards, the context-length trap that tanks speed to 9 tok/s, and step-by-step Ollama setup.</description><pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>How to Choose a GPU for Local AI in 2026: A $300–$3000 Buying Guide</title><link>https://runaihome.com/blog/gpu-buying-guide-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/gpu-buying-guide-local-ai-2026/</guid><description>A data-backed buying guide for picking the right GPU for local AI in 2026. Six budget tiers from $300 to $3000+, with verified VRAM, memory bandwidth, and current pricing for every recommended card.</description><pubDate>Sun, 03 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Power-Limit Your GPU for Local AI: Cut 100W and Keep 97% of Your Tokens/Sec (2026 Guide)</title><link>https://runaihome.com/blog/gpu-power-limit-local-ai-tokens-per-second-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/gpu-power-limit-local-ai-tokens-per-second-2026/</guid><description>Cap an RTX 3090 or 4090 with nvidia-smi and keep nearly all your LLM tokens/sec. Measured sweet spots, systemd persistence, and the VRAM temperature trap.</description><pubDate>Wed, 05 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Home AI Server with Tailscale: Access Your LLM from Anywhere (2026)</title><link>https://runaihome.com/blog/home-ai-server-tailscale-access-llm-anywhere-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/home-ai-server-tailscale-access-llm-anywhere-2026/</guid><description>Set up Tailscale on your Linux AI server to access Ollama and Open WebUI securely from any device, anywhere—no port forwarding, no exposed ports.</description><pubDate>Sun, 17 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>How Much VRAM for Local AI in 2026: Llama, Mistral, Qwen Requirements (Full Guide)</title><link>https://runaihome.com/blog/how-much-vram-llama-models/</link><guid isPermaLink="true">https://runaihome.com/blog/how-much-vram-llama-models/</guid><description>Complete VRAM requirements for every major local LLM in 2026: Llama 3.2-4, Mistral, Qwen 3, DeepSeek. Includes quantization math, context overhead, and exactly which GPU fits which model tier.</description><pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>How to find the best local LLM for your hardware: 5 benchmark tools compared (2026)</title><link>https://runaihome.com/blog/how-to-find-best-local-llm-your-hardware-benchmark-tools-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/how-to-find-best-local-llm-your-hardware-benchmark-tools-2026/</guid><description>Stop guessing by parameter count. whichllm, LocalScore, llama-bench, llama-benchy, and ollama-benchmark tell you which model and quant level maximizes quality on your specific GPU — with real tok/s numbers to prove it.</description><pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>The $400/month GPU Bill: How Indie Devs Are Overpaying for Cloud AI (2026)</title><link>https://runaihome.com/blog/indie-dev-gpu-bill-overpaying-cloud-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/indie-dev-gpu-bill-overpaying-cloud-ai-2026/</guid><description>Indie devs routinely burn $300–700/month on cloud GPUs with 23% average utilization. Five specific spending patterns explain 60%+ of that waste — here is the fix.</description><pubDate>Thu, 21 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Wall Street Just Bet $400M on Inference Chips: Does That Change Your Home-Lab GPU Math in 2026?</title><link>https://runaihome.com/blog/inference-chip-investment-home-lab-gpu-roi-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/inference-chip-investment-home-lab-gpu-roi-2026/</guid><description>Upper90&apos;s $400M loan to General Compute is the first backed by inference ASICs, not GPUs. What SambaNova SN50 racks mean for your local AI hardware decision.</description><pubDate>Thu, 23 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Inkling 975B for Local AI in 2026: What GPU (or Cluster) Thinking Machines&apos; Apache 2.0 Model Actually Needs</title><link>https://runaihome.com/blog/inkling-975b-local-ai-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/inkling-975b-local-ai-hardware-guide-2026/</guid><description>Inkling is a 975B-A41B open-weights MoE from Mira Murati&apos;s Thinking Machines Lab. The smallest quant is ~290GB, so no single consumer GPU runs it. Here&apos;s the real VRAM math, the cloud path, and why Inkling-Small is the one to watch.</description><pubDate>Fri, 17 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Inkling-Small Weights Are Live: 276B Params, an 88GB Quant, and the First Single-Card Path to a Frontier-Class Model</title><link>https://runaihome.com/blog/inkling-small-276b-home-lab-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/inkling-small-276b-home-lab-hardware-guide-2026/</guid><description>Inkling-Small&apos;s 276B-A12B open weights landed July 30. Real Unsloth GGUF sizes, which hardware fits the 87.9GB 2-bit quant, and honest tok/s expectations.</description><pubDate>Fri, 31 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Intel Arc B580 for Local AI: 12 GB at $249, With a Software Tax</title><link>https://runaihome.com/blog/intel-arc-b580-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/intel-arc-b580-local-ai-2026/</guid><description>Intel Arc B580 packs 456 GB/s bandwidth and 12 GB VRAM for $249 MSRP — more bandwidth than the RTX 3060. But running local LLMs requires IPEX-LLM, Resizable BAR, and Linux for best results.</description><pubDate>Mon, 25 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Intel Arc B580 12GB for Local AI in 2026: Real Benchmarks and the CUDA-Free Reality</title><link>https://runaihome.com/blog/intel-arc-b580-local-ai-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/intel-arc-b580-local-ai-guide-2026/</guid><description>Intel Arc B580 benchmarks for local LLMs and image generation: 28 tok/s on Llama 3.1 8B, 12GB VRAM at $249, and exactly what breaks without CUDA.</description><pubDate>Thu, 04 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Intel Arc B770 vs RTX 5060 for Local AI in 2026: The 16GB Budget War That Never Happened</title><link>https://runaihome.com/blog/intel-arc-b770-rumors-vs-rtx-5060-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/intel-arc-b770-rumors-vs-rtx-5060-2026/</guid><description>Intel canceled the Arc B770 16GB budget GPU; NVIDIA shipped RTX 5060 with only 8GB. Here&apos;s what that $200 gap means for local AI builders right now.</description><pubDate>Thu, 04 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Kimi K2.7 Code for Local AI in 2026: VRAM Requirements, the 1T-Parameter Reality, and Which GPU Crosses Into Usable Speed</title><link>https://runaihome.com/blog/kimi-k2-7-local-ai-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/kimi-k2-7-local-ai-hardware-guide-2026/</guid><description>Kimi K2.7 Code is a 1T-parameter MoE that needs 325GB+ to run at 2-bit. Here&apos;s the real VRAM math, GPU-tier speeds, and why the API still wins for most home labs.</description><pubDate>Sat, 20 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Kimi K2.6 for Local AI in 2026: What VRAM and System RAM You Need to Actually Run the 1T-Parameter MoE Coding Leader</title><link>https://runaihome.com/blog/kimi-k2-local-inference-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/kimi-k2-local-inference-hardware-guide-2026/</guid><description>Kimi K2.6 scores 80.2% on SWE-bench Verified but needs 350GB+ combined RAM+VRAM to run locally. Here&apos;s every viable hardware path and the math on each.</description><pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Kimi K3 for Local AI in 2026: What 2.8 Trillion Parameters Actually Needs From Your GPU</title><link>https://runaihome.com/blog/kimi-k3-local-ai-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/kimi-k3-local-ai-hardware-guide-2026/</guid><description>Kimi K3 is Moonshot&apos;s 2.8T-parameter open MoE, and its native MXFP4 weights are still ~1.4TB. No single consumer GPU runs it. Here&apos;s the real memory math, anchored on Kimi K2.7&apos;s confirmed footprint, and the cloud path until the weights land July 27.</description><pubDate>Sat, 18 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Kimi K3 Open Weights Are Live: The Real 1.56TB Download, the License Fine Print, and What Can Actually Serve It</title><link>https://runaihome.com/blog/kimi-k3-open-weights-live-hardware-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/kimi-k3-open-weights-live-hardware-2026/</guid><description>Kimi K3&apos;s open weights landed July 27: 96 shards, 1.56TB, 104B active params confirmed. The license terms, vLLM day-0 numbers, and the llama.cpp reality.</description><pubDate>Wed, 29 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Laguna M.1 for Local AI in 2026: Poolside&apos;s 225B Flagship, the 125GB Q4 Reality, and Why the Smaller S 2.1 Beats It at Home</title><link>https://runaihome.com/blog/laguna-m-1-local-ai-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/laguna-m-1-local-ai-hardware-guide-2026/</guid><description>Laguna M.1 is 225B params and Apache 2.0, but its Q4 GGUF is ~125GB and needs a llama.cpp fork. The verified memory math and what to run instead.</description><pubDate>Mon, 03 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Laguna S 2.1 vs XS 2.1 for Local AI in 2026: Poolside&apos;s 118B Coding Model, the 33B You Can Actually Run, and the Honest VRAM Math</title><link>https://runaihome.com/blog/laguna-s-2-1-xs-2-1-local-ai-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/laguna-s-2-1-xs-2-1-local-ai-hardware-guide-2026/</guid><description>Laguna S 2.1 wants 72GB+ at Q4 while XS 2.1 fits one 24GB card. The verified VRAM math, expert-offload speeds, and which Poolside model to run locally.</description><pubDate>Sun, 02 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>LiquidAI LFM2.5-8B-A1B Hardware Guide 2026: 253 tok/s on an M5 Max, Under 6GB VRAM, and Which Consumer Cards Actually Hit These Numbers</title><link>https://runaihome.com/blog/lfm2-5-8b-local-ai-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/lfm2-5-8b-local-ai-hardware-guide-2026/</guid><description>LFM2.5-8B-A1B decodes at 253 tok/s on an M5 Max and 146 on a Ryzen AI Max+ 395 in under 6GB — because only 1.5B of its 8.3B params fire per token. Here&apos;s the real VRAM math, the GGUF sizes, the tok/s you should expect per GPU, and the license catch most posts got wrong.</description><pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Llama 3.3 70B at Home: Real Hardware Cost vs Cloud API Math (2026)</title><link>https://runaihome.com/blog/llama-33-70b-cost-vs-cloud-api-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/llama-33-70b-cost-vs-cloud-api-2026/</guid><description>Honest break-even math for running Llama 3.3 70B locally. Dual RTX 3090 build (~$2,300) vs DeepInfra, Groq, and GPT-4o API pricing—with numbers cloud vendors skip.</description><pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Llama 3.3 vs Qwen3 vs Mistral Large: Which to Run Locally? (2026)</title><link>https://runaihome.com/blog/llama-33-vs-qwen3-vs-mistral-local-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/llama-33-vs-qwen3-vs-mistral-local-2026/</guid><description>Comparing Llama 3.3 70B, Qwen3 32B, and Mistral Small 24B for local AI in 2026 — with the hardware requirements and benchmark data you actually need.</description><pubDate>Tue, 19 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Llama 3.3 vs Qwen 3 vs Mistral for Local AI in 2026: Which to Actually Run at Home</title><link>https://runaihome.com/blog/llama-33-vs-qwen3-vs-mistral-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/llama-33-vs-qwen3-vs-mistral-local-ai-2026/</guid><description>Comparing Llama 3.3 70B, Qwen3.6 (27B/35B-A3B), and Mistral Small 3.2 24B on consumer GPUs: verified VRAM requirements, real tok/s numbers, and a use-case decision matrix.</description><pubDate>Tue, 19 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Llama 4 Maverick for Local AI in 2026: The 402B Parameter Reality Check</title><link>https://runaihome.com/blog/llama-4-maverick-local-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/llama-4-maverick-local-hardware-guide-2026/</guid><description>Maverick has 17B active parameters but needs 243GB of VRAM at Q4_K_M. Here is the real hardware math, which setups can actually run it, and when RunPod makes more sense.</description><pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Llama 4 Scout for Local AI in 2026: What &quot;17B Active Parameters&quot; Actually Means for Your GPU</title><link>https://runaihome.com/blog/llama-4-scout-local-ai-vram-requirements-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/llama-4-scout-local-ai-vram-requirements-2026/</guid><description>Scout has 17B active parameters but a 67GB default model file. Here&apos;s the real VRAM math, which GPU configs actually work, and an honest quality comparison vs Llama 3.3 70B.</description><pubDate>Sat, 23 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>llama.cpp Won&apos;t Build with CUDA? Every Fix for compute_120, GCC, and CMake Errors (2026)</title><link>https://runaihome.com/blog/llama-cpp-build-cuda-errors-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/llama-cpp-build-cuda-errors-fix-2026/</guid><description>Your llama.cpp CUDA build fails with compute_120, an unsupported GCC version, or &quot;Could NOT find CUDAToolkit.&quot; Here&apos;s a 30-second diagnosis and the exact fix for each error.</description><pubDate>Tue, 14 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>llama.cpp Router Mode in 2026: One Endpoint for All Your GGUF Models (Setup, Preset Files, and the VRAM Traps)</title><link>https://runaihome.com/blog/llama-server-router-mode-multi-model-setup-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/llama-server-router-mode-multi-model-setup-2026/</guid><description>Set up llama.cpp router mode: serve multiple GGUF models from one llama-server endpoint, write a preset file, and dodge the --models-max VRAM traps.</description><pubDate>Tue, 04 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>LM Studio Bionic for Home Labs in 2026: Which Open Models Actually Run Locally (and When the Agent Quietly Goes Cloud)</title><link>https://runaihome.com/blog/lm-studio-bionic-local-ai-agent-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/lm-studio-bionic-local-ai-agent-hardware-guide-2026/</guid><description>LM Studio Bionic is a local-first AI agent for open models — but GLM 5.2 and Kimi K2.7 only run in its cloud. Here&apos;s the hardware reality for your GPU or Mac.</description><pubDate>Sun, 26 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>LM Studio &quot;Failed to Load Model&quot;? Decode the Exit Code, Then Fix It (2026)</title><link>https://runaihome.com/blog/lm-studio-failed-to-load-model-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/lm-studio-failed-to-load-model-fix-2026/</guid><description>Fix LM Studio&apos;s &quot;Failed to load model&quot; and exit code 18446744072635810000 errors on Windows, macOS, and Linux — runtime rollbacks, VRAM, context, and the macOS Tahoe trap.</description><pubDate>Thu, 25 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>LM Studio Locally + LM Link 2026: Control Your Home GPU Rig From Your iPhone</title><link>https://runaihome.com/blog/lm-studio-locally-lm-link-iphone-setup-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/lm-studio-locally-lm-link-iphone-setup-2026/</guid><description>LM Studio 0.4.16 added Locally for iPhone and LM Link, an encrypted Tailscale mesh that runs your Mac or RTX rig&apos;s models from your phone. Full setup, real latency, and which model sizes feel fast enough.</description><pubDate>Tue, 16 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>LM Studio Not Using Your GPU? Fix the Offload Slider, CPU Spillover, and Slow Tokens/Sec (2026)</title><link>https://runaihome.com/blog/lm-studio-not-using-gpu-offload-slow-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/lm-studio-not-using-gpu-offload-slow-fix-2026/</guid><description>LM Studio running at 4 tok/s instead of 40? The GPU Offload slider, the wrong runtime engine, and stale drivers are the usual culprits. Here&apos;s the exact fix order for NVIDIA, AMD, and Apple Silicon in 2026.</description><pubDate>Thu, 16 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Local AI Privacy Audit: What Data Actually Stays on Your Machine (2026)</title><link>https://runaihome.com/blog/local-ai-privacy-audit-data-stays-local-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/local-ai-privacy-audit-data-stays-local-2026/</guid><description>Tool-by-tool audit of Ollama, LM Studio, ComfyUI, Continue.dev, and more: which local AI tools collect telemetry, what leaves your machine, and how to lock down what should not.</description><pubDate>Fri, 22 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Local AI and the Right to Compute in 2026: What State Legislation Actually Means for Your Home Lab</title><link>https://runaihome.com/blog/local-ai-right-to-compute-legislation-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/local-ai-right-to-compute-legislation-2026/</guid><description>Montana enshrined a right to compute in 2025 and 2026 bills are spreading. Here&apos;s what these laws do to your home AI server — and what actually threatens it.</description><pubDate>Thu, 09 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Local LLM Quantization Explained: GGUF, GPTQ, AWQ, and Bitsandbytes Compared</title><link>https://runaihome.com/blog/local-llm-quantization-explained/</link><guid isPermaLink="true">https://runaihome.com/blog/local-llm-quantization-explained/</guid><description>Quantization is what makes running modern LLMs locally possible. A practical guide to the four main formats — GGUF, GPTQ, AWQ, and Bitsandbytes — with concrete VRAM math, quality tradeoffs, and which one to pick.</description><pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Local LLM Repeating Itself or Spitting Gibberish? Fix Runaway Repetition, GGGG Output, and Wrong Chat Templates (2026)</title><link>https://runaihome.com/blog/local-llm-repeating-gibberish-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/local-llm-repeating-gibberish-fix-2026/</guid><description>Your local model loops, rambles, or prints GGGGGG. Here&apos;s how to tell the three failure modes apart and fix each one in Ollama, LM Studio, and llama.cpp.</description><pubDate>Wed, 01 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Can a Local LLM Replace Claude or GPT for Daily Coding in 2026? The Hardware and Cost Reality</title><link>https://runaihome.com/blog/local-llm-replace-claude-gpt-daily-coding-hardware-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/local-llm-replace-claude-gpt-daily-coding-hardware-2026/</guid><description>Local LLM coding on a 24GB GPU is real in 2026 — but the math changed. Used RTX 3090 prices, Qwen3.6-35B speeds, and when the switch actually pays off.</description><pubDate>Tue, 21 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Local RAG in 2026: Build a Private Document AI That Never Leaves Your Machine</title><link>https://runaihome.com/blog/local-rag-private-document-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/local-rag-private-document-ai-2026/</guid><description>Step-by-step guide to local RAG using Ollama, Open WebUI, and AnythingLLM — embedding model comparison, chunking strategy, and a LangChain Python pipeline.</description><pubDate>Sat, 23 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Mac Mini M4 Pro for Local AI in 2026: What $1,399 Actually Buys You</title><link>https://runaihome.com/blog/mac-mini-m4-pro-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/mac-mini-m4-pro-local-ai-2026/</guid><description>The Mac Mini M4 Pro packs 24GB unified memory and 273 GB/s bandwidth in a 30-40W box. Here is exactly what models run, what benchmarks show, and when a GPU PC still wins.</description><pubDate>Wed, 27 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Running 100B+ Parameter Models on Mac Studio: What Actually Works (2026)</title><link>https://runaihome.com/blog/mac-studio-100b-models-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/mac-studio-100b-models-local-ai-2026/</guid><description>The honest guide to 100B+ LLMs on Mac Studio M3 Ultra: memory requirements, real tok/s numbers, and why Apple just made this harder for new buyers.</description><pubDate>Wed, 20 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Mac Studio Cluster for Trillion-Parameter AI in 2026: RDMA Over Thunderbolt 5 Turns 4 Studios Into a $40K AI Machine</title><link>https://runaihome.com/blog/mac-studio-cluster-rdma-thunderbolt5-trillion-parameter-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/mac-studio-cluster-rdma-thunderbolt5-trillion-parameter-2026/</guid><description>How macOS Tahoe 26.2&apos;s RDMA over Thunderbolt 5 links four Mac Studios into 1.5TB of unified memory, runs Kimi K2&apos;s 1T parameters at ~25 tok/s, and whether the $40K build math actually holds up.</description><pubDate>Mon, 06 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Mac Studio M3 Ultra vs Dual RTX 4090: Which Wins for Local AI? (2026)</title><link>https://runaihome.com/blog/mac-studio-m3-ultra-vs-dual-rtx-4090-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/mac-studio-m3-ultra-vs-dual-rtx-4090-local-ai-2026/</guid><description>Mac Studio M3 Ultra or dual RTX 4090 for local AI? Real benchmark data across LLM inference, image generation, fine-tuning, and 3-year total cost.</description><pubDate>Sun, 17 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Mac Studio M4 Max vs Mac Mini M4 Pro for Local AI in 2026: Is the $600 Upgrade to 546 GB/s Worth It?</title><link>https://runaihome.com/blog/mac-studio-m4-max-vs-mac-mini-m4-pro-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/mac-studio-m4-max-vs-mac-mini-m4-pro-local-ai-2026/</guid><description>Mac Studio M4 Max delivers 83 tok/s on 7B and 28 tok/s on 70B. Mac Mini M4 Pro gets 51 tok/s and ~14 tok/s for $600 less. The answer depends entirely on which models you actually run.</description><pubDate>Fri, 05 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Mac Studio M4 Max vs RTX 5090 for Local LLM in 2026: Unified Memory vs 32GB GDDR7</title><link>https://runaihome.com/blog/mac-studio-m4-max-vs-rtx-5090-local-llm-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/mac-studio-m4-max-vs-rtx-5090-local-llm-2026/</guid><description>The RTX 5090&apos;s 1,792 GB/s buries the M4 Max on models under 32GB, but a 5090 hard-stops at 70B while the Mac keeps going. The full bandwidth-vs-capacity head-to-head, with real tok/s, power, and price.</description><pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>MacBook M-Series vs a Dedicated GPU for Local LLMs in 2026: The Honest Buying Decision</title><link>https://runaihome.com/blog/macbook-apple-silicon-vs-discrete-gpu-local-llm-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/macbook-apple-silicon-vs-discrete-gpu-local-llm-2026/</guid><description>A MacBook M4 Pro carries the model to the coffee shop; a used RTX 3090 tower runs it 2× faster on your desk. The real laptop-vs-tower tradeoff, with tok/s, prices, and a clear verdict.</description><pubDate>Sun, 12 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Mesh LLM + iroh 2026: Pool Your Home Lab GPUs Into One P2P Endpoint — No Cloud, No RDMA, No Thunderbolt</title><link>https://runaihome.com/blog/mesh-llm-iroh-distributed-home-lab-inference-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/mesh-llm-iroh-distributed-home-lab-inference-2026/</guid><description>Mesh LLM uses iroh&apos;s peer-to-peer QUIC to fuse scattered GPUs into one OpenAI-compatible endpoint — even across the internet. Here&apos;s how it works, what it needs, and where the latency bites.</description><pubDate>Mon, 13 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Meta Muse Image Trained on Your Instagram Photos: The Privacy Case for Local Image Generation in 2026</title><link>https://runaihome.com/blog/meta-muse-image-privacy-local-comfyui-alternative-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/meta-muse-image-privacy-local-comfyui-alternative-2026/</guid><description>Meta Muse Image scrapes public Instagram photos by default. Here&apos;s the local ComfyUI + FLUX/SDXL alternative that keeps your images and prompts on your own machine.</description><pubDate>Fri, 10 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Microsoft Aion 1.0 on Windows 2026: The 14B On-Device Model and What Your Copilot+ PC Actually Needs</title><link>https://runaihome.com/blog/microsoft-aion-1-0-windows-local-ai-copilot-pc-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/microsoft-aion-1-0-windows-local-ai-copilot-pc-2026/</guid><description>Microsoft Aion 1.0 puts a 14B reasoning model in Windows, but it needs a 40-TOPS NPU. Here&apos;s which Copilot+ PCs qualify and how it compares to Ollama on a GPU.</description><pubDate>Sun, 28 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Mini PC for Local LLMs in 2026: Which $500–$1,500 Machines Actually Work</title><link>https://runaihome.com/blog/mini-pc-local-llm-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/mini-pc-local-llm-2026/</guid><description>A hardware buyer&apos;s guide to mini PCs for local LLM inference in 2026—covering Ryzen 8000, AMD Strix Halo, and Apple Silicon tiers with real token speeds and honest trade-offs.</description><pubDate>Sat, 30 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>MiniMax H3 GGUF in ComfyUI (2026): Full Workflow Setup, the K-Quant Trap, and Real Render Times From RTX 3060 to RTX 5090</title><link>https://runaihome.com/blog/minimax-h3-comfyui-gguf-workflow-tutorial-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/minimax-h3-comfyui-gguf-workflow-tutorial-2026/</guid><description>Step-by-step MiniMax H3 ComfyUI GGUF workflow: which quant repos to trust, exact file placement, why Q4_K_M is a label not a K-quant, and the Turbo LoRA that cuts 20 steps to 8.</description><pubDate>Tue, 11 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>MiniMax H3 Open Weights: The 33B Video Model That Fits One RTX 5090 — and the License That Locks Out the US and EU</title><link>https://runaihome.com/blog/minimax-h3-open-weights-local-ai-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/minimax-h3-open-weights-local-ai-hardware-guide-2026/</guid><description>MiniMax H3 open weights hardware guide: real VRAM numbers from RTX 3060 to RTX 5090, GGUF quant sizes, generation times, and the license catch for US/EU home labs.</description><pubDate>Sat, 08 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>MiniMax M3 Local AI Hardware Guide 2026: The 428B Open-Weight Model You (Probably) Can&apos;t Run at Home</title><link>https://runaihome.com/blog/minimax-m3-local-ai-vram-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/minimax-m3-local-ai-vram-hardware-guide-2026/</guid><description>MiniMax M3 is a 428B-parameter open-weight frontier model. Real GGUF sizes, VRAM math, and why the 2026 memory crunch makes it un-runnable on a single machine.</description><pubDate>Tue, 16 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Mistral Small 4 for Local AI in 2026: The 119B MoE Hardware Reality</title><link>https://runaihome.com/blog/mistral-small-4-local-ai-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/mistral-small-4-local-ai-hardware-guide-2026/</guid><description>Mistral Small 4 is a 119B MoE model with GPT-4-class quality in coding and reasoning. The local hardware floor starts at 3×RTX 4090 or a $3,999 Mac Studio. Full breakdown inside.</description><pubDate>Sat, 30 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>$200 Modded Tesla V100 for Local AI in 2026: Cheaper Than an RTX 5060 Ti and Surprisingly Competitive</title><link>https://runaihome.com/blog/modded-tesla-v100-budget-ai-gpu-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/modded-tesla-v100-budget-ai-gpu-2026/</guid><description>A modded Tesla V100 SXM2 with PCIe adapter runs GPT-OSS-20B at 130 tok/s for ~$200 total — but Ollama v0.30+ broke it and power draw is a real cost. Here&apos;s the real math.</description><pubDate>Fri, 05 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>MOSS-TTS in ComfyUI 2026: Zero-Shot Voice Cloning From a 10-Second Clip on Your RTX or Mac</title><link>https://runaihome.com/blog/moss-tts-comfyui-voice-cloning-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/moss-tts-comfyui-voice-cloning-2026/</guid><description>MOSS-TTS clones a voice from a 3-10s reference with no transcript. The Local 1.7B model runs in ~5GB VRAM, the 8B needs ~18GB. Full ComfyUI setup, VRAM math, and the error that bites everyone on install.</description><pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>MPS Backend Out of Memory on Your Mac? Decode the Numbers, Then Fix It (2026)</title><link>https://runaihome.com/blog/mps-backend-out-of-memory-fix-mac-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/mps-backend-out-of-memory-fix-mac-2026/</guid><description>Fix RuntimeError: MPS backend out of memory in ComfyUI and PyTorch on Apple Silicon — what max allowed really means, the watermark ratio, and the sysctl that raises your GPU cap.</description><pubDate>Mon, 10 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Dual GPU for Local AI in 2026: NVLink vs PCIe Bandwidth and Real tok/s Numbers</title><link>https://runaihome.com/blog/multi-gpu-local-ai-nvlink-vs-pcie-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/multi-gpu-local-ai-nvlink-vs-pcie-2026/</guid><description>Running two GPUs for local LLMs sounds like double the speed&apos;—until the bandwidth math hits. Real tok/s numbers, setup commands, and when multi-GPU pays off.</description><pubDate>Thu, 21 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Multi-GPU for Local AI in 2026: NVLink vs PCIe and When a Second Card Actually Helps</title><link>https://runaihome.com/blog/multi-gpu-nvlink-pcie-local-ai-inference-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/multi-gpu-nvlink-pcie-local-ai-inference-2026/</guid><description>NVLink is dead for consumer GPUs past the RTX 3090. Here is the honest guide to multi-GPU LLM inference over PCIe — what it gains, what it costs, and how to set it up.</description><pubDate>Thu, 21 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Meta Muse Glimmer 30B on Consumer Hardware: Real VRAM Numbers, the DFlash Catch, and Which GPU Tier Actually Runs It</title><link>https://runaihome.com/blog/muse-glimmer-30b-local-ai-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/muse-glimmer-30b-local-ai-hardware-guide-2026/</guid><description>Muse Glimmer 30B VRAM requirements by GPU tier: 17.3GB Q4_K_M on 24GB cards, 75 tok/s on RTX 4090, the DFlash drafter math, and Ollama v0.32.8 setup.</description><pubDate>Fri, 14 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Nemotron-Cascade 2 for Local AI in 2026: 187 tok/s on RTX 3090 and What 30B Total / 3B Active Really Means for Your GPU</title><link>https://runaihome.com/blog/nemotron-cascade-2-local-ai-gpu-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/nemotron-cascade-2-local-ai-gpu-guide-2026/</guid><description>NVIDIA&apos;s Nemotron-Cascade 2 30B-A3B hits 187 tok/s on RTX 3090 at IQ4_XS and outscores Qwen3.5 on coding by 12 points. Full VRAM, GPU compatibility, and setup guide.</description><pubDate>Mon, 08 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>NVIDIA Nemotron-TwoTower 30B-A3B for Local AI in 2026: The 2.42x Faster Diffusion LLM That Needs Two Datacenter GPUs, Not One RTX</title><link>https://runaihome.com/blog/nemotron-twotower-30b-local-ai-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/nemotron-twotower-30b-local-ai-hardware-guide-2026/</guid><description>NVIDIA&apos;s Nemotron-Labs-TwoTower is a 2.42x faster diffusion LLM — but it&apos;s ~60B across two towers needing 2x H100, and no consumer runtime runs it yet. The honest hardware math.</description><pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>NPU vs Discrete GPU for Local LLMs in 2026: Why Computex Laptops Lose on Tokens/Second Despite the TOPS Claims</title><link>https://runaihome.com/blog/npu-vs-gpu-local-llm-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/npu-vs-gpu-local-llm-2026/</guid><description>Computex 2026 sold AI PCs on NPU TOPS numbers. Real local LLM throughput tells a different story — here&apos;s how 45–80 TOPS NPUs compare to a used RTX 3090.</description><pubDate>Sat, 13 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>NVIDIA Cosmos 3 Nano for Local AI in 2026: 16B Omnimodel, BF16-Only, and Whether Your Consumer RTX Can Actually Run It</title><link>https://runaihome.com/blog/nvidia-cosmos-3-nano-local-ai-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/nvidia-cosmos-3-nano-local-ai-hardware-guide-2026/</guid><description>Cosmos 3 Nano is open and 16B parameters — but it&apos;s BF16-only and needs ~32GB VRAM. Here&apos;s the real hardware math for running NVIDIA&apos;s physical-AI omnimodel at home.</description><pubDate>Thu, 25 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>NVIDIA Nemotron 3 Ultra for Local AI in 2026: 550B/55B-Active MoE, 1M Context, NVFP4 — Which Consumer GPU Can Actually Run It</title><link>https://runaihome.com/blog/nvidia-nemotron-3-ultra-local-ai-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/nvidia-nemotron-3-ultra-local-ai-hardware-guide-2026/</guid><description>Nemotron 3 Ultra is a 550B MoE in NVFP4 that still needs ~275GB of VRAM. Here&apos;s the real hardware math, why no consumer GPU runs it, and what to run instead.</description><pubDate>Sun, 21 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>NVIDIA Skipping New Consumer GPUs in 2026: What the GDDR7 Shortage Means for Your Home Lab Budget</title><link>https://runaihome.com/blog/nvidia-no-new-consumer-gpus-2026-home-lab-buying-guide/</link><guid isPermaLink="true">https://runaihome.com/blog/nvidia-no-new-consumer-gpus-2026-home-lab-buying-guide/</guid><description>NVIDIA reportedly ships no new RTX gaming GPUs in 2026. Here&apos;s how the GDDR7 shortage hits used 3090/4090 prices and whether to buy now or wait.</description><pubDate>Sat, 13 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>NVIDIA RTX 5090 Price Hike 2026: GDDR7 Costs and What It Means for Your GPU Budget</title><link>https://runaihome.com/blog/nvidia-rtx-5090-price-hike-gddr7-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/nvidia-rtx-5090-price-hike-gddr7-2026/</guid><description>NVIDIA just passed a $300 wholesale cost increase to RTX 5090 board partners. Street prices were already $3,500–$4,000. Here is what the GDDR7 shortage means for local AI GPU buyers.</description><pubDate>Fri, 29 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>NVIDIA RTX Spark for Local AI in 2026: Blackwell GPU, 128GB Unified Memory for Laptops and Compact Desktops, and Whether the Fall Launch Is Worth Waiting For</title><link>https://runaihome.com/blog/nvidia-rtx-spark-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/nvidia-rtx-spark-local-ai-2026/</guid><description>NVIDIA RTX Spark brings 128GB unified memory and Blackwell CUDA to Windows laptops in Fall 2026. Real benchmark context, bandwidth math, and who should actually wait.</description><pubDate>Fri, 05 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>NVIDIA Rubin CPX for Local AI Inference in 2026: What the New Context-Optimized Blackwell GPU Means for Home Labs vs Consumer Cards</title><link>https://runaihome.com/blog/nvidia-rubin-cpx-local-ai-inference-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/nvidia-rubin-cpx-local-ai-inference-2026/</guid><description>NVIDIA&apos;s Rubin CPX packs 30 NVFP4 PFLOPS and 128GB GDDR7 for million-token context workloads. Here&apos;s why it&apos;s pure enterprise hardware — and what it signals for your local AI build today.</description><pubDate>Sun, 07 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>nvidia-smi Failed / NVML Driver Version Mismatch? Fix It Without Rebooting (Linux, 2026)</title><link>https://runaihome.com/blog/nvidia-smi-failed-nvml-driver-library-version-mismatch-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/nvidia-smi-failed-nvml-driver-library-version-mismatch-fix-2026/</guid><description>Fix &apos;Failed to initialize NVML: Driver/library version mismatch&apos; and &apos;NVIDIA-SMI has failed to communicate with the driver&apos; on your Linux AI box — without a reboot.</description><pubDate>Sat, 11 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>NVMe KV Cache Offloading for Local LLMs in 2026: What Spilling Context to Your SSD Actually Buys a 24GB GPU</title><link>https://runaihome.com/blog/nvme-kv-cache-offloading-local-llm-consumer-gpu-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/nvme-kv-cache-offloading-local-llm-consumer-gpu-2026/</guid><description>NVMe KV cache offloading explained for home labs: real KV size math, vLLM + LMCache setup, llama.cpp slot saves, and why Ollama can&apos;t do it yet.</description><pubDate>Wed, 29 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Best NVMe SSD for Local AI in 2026: Model Load Speed Benchmarks (Gen 3 vs Gen 4)</title><link>https://runaihome.com/blog/nvme-ssd-local-ai-model-loading-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/nvme-ssd-local-ai-model-loading-2026/</guid><description>SATA SSD: 70+ seconds to load a 40GB model. Gen 4 NVMe: under 15 seconds. Real benchmarks showing exactly how much your drive speed affects local LLM startup — and which SSDs to buy in 2026.</description><pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Ollama 0.32.0 for Home Labs: Interactive Agent Mode, Gemma 4 Multi-Token Prediction, and What Actually Changed for GPU Rigs</title><link>https://runaihome.com/blog/ollama-032-interactive-agent-mtp-home-lab-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/ollama-032-interactive-agent-mtp-home-lab-2026/</guid><description>Ollama 0.32.0 turns `ollama` into an interactive agent and ships Gemma 4 multi-token prediction (~90% faster on Apple Silicon). Here&apos;s what&apos;s real, what&apos;s cloud, and what it means for your GPU rig.</description><pubDate>Wed, 15 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Ollama&apos;s $65M Series B: What VC Money Means for AMD ROCm, Windows ARM, and Multi-GPU in Your Home Lab</title><link>https://runaihome.com/blog/ollama-65m-series-b-amd-rocm-home-lab-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/ollama-65m-series-b-amd-rocm-home-lab-2026/</guid><description>Ollama raised $65M and now runs on 8.9M machines a month. Here&apos;s the honest read on what the funding changes for AMD GPU buyers, multi-GPU rigs, and whether MIT-licensed Ollama stays free.</description><pubDate>Sun, 12 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Ollama Filling Your C: Drive? Move Model Storage With OLLAMA_MODELS (Windows, macOS, Linux) 2026</title><link>https://runaihome.com/blog/ollama-change-model-storage-location-free-c-drive-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/ollama-change-model-storage-location-free-c-drive-2026/</guid><description>Ollama models are eating your system drive. Here&apos;s how to move them to another disk with OLLAMA_MODELS on Windows, macOS, and Linux — and the two gotchas that break it.</description><pubDate>Sun, 05 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Ollama :cloud Model Tags in 2026: What They Do to Your GPU (Hint: Nothing)</title><link>https://runaihome.com/blog/ollama-cloud-tags-home-lab-gpu-impact-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/ollama-cloud-tags-home-lab-gpu-impact-2026/</guid><description>Ollama&apos;s -cloud model tags route inference to Ollama&apos;s servers, not your GPU. Here&apos;s how to spot them, the local model that replaces each one, and the honest config that keeps every token on your machine.</description><pubDate>Mon, 06 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Ollama &apos;llama runner process has terminated&apos;? Read the Exit Code, Then Fix It (2026)</title><link>https://runaihome.com/blog/ollama-llama-runner-process-terminated-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/ollama-llama-runner-process-terminated-fix-2026/</guid><description>Ollama crashing with &apos;llama runner process has terminated&apos;? The exit code tells you the cause. Here&apos;s how to decode exit status 2, 0xc0000409, signal killed, and aborted — and fix each one.</description><pubDate>Fri, 19 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Ollama MLX on Apple Silicon in 2026: What 2× Faster Inference Means for M-Series Mac Users</title><link>https://runaihome.com/blog/ollama-mlx-apple-silicon-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/ollama-mlx-apple-silicon-2026/</guid><description>Ollama 0.19 rebuilt its Mac inference stack on Apple&apos;s MLX framework, nearly doubling decode speed to 112 tok/s on 32GB+ Macs. Here&apos;s who benefits, how to enable it, and what to expect.</description><pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Ollama Keeps Reloading the Model? Fix VRAM Unloading, Cold Starts, and Model Swapping (2026)</title><link>https://runaihome.com/blog/ollama-model-keeps-reloading-vram-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/ollama-model-keeps-reloading-vram-fix-2026/</guid><description>Ollama unloads your model after 5 minutes and every request goes cold? Here&apos;s how OLLAMA_KEEP_ALIVE, MAX_LOADED_MODELS, and preloading actually work in 2026.</description><pubDate>Wed, 17 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Ollama &apos;Model Requires More System Memory&apos;? Fix the RAM Check That Blocks Your Model (2026)</title><link>https://runaihome.com/blog/ollama-model-requires-more-system-memory-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/ollama-model-requires-more-system-memory-fix-2026/</guid><description>Fix Ollama&apos;s &apos;model requires more system memory than is available&apos; error: what the check actually measures, the Linux cache and container traps, and the swap trick that unblocks it.</description><pubDate>Wed, 22 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Ollama Not Using GPU? Fix CPU-Only Inference on Windows, WSL2, and Linux (2026)</title><link>https://runaihome.com/blog/ollama-not-using-gpu-fix-cpu-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/ollama-not-using-gpu-fix-cpu-2026/</guid><description>Ollama running on CPU instead of your GPU? Here&apos;s how to diagnose it with ollama ps, read the logs, and fix the six causes that actually matter in 2026.</description><pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Ollama Pull Failing with &quot;max retries exceeded&quot;? Fix EOF, Connection Resets, and Stuck Downloads (2026)</title><link>https://runaihome.com/blog/ollama-pull-max-retries-exceeded-eof-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/ollama-pull-max-retries-exceeded-eof-fix-2026/</guid><description>ollama pull dies with &quot;max retries exceeded: EOF&quot; or a connection reset and never finishes. Here&apos;s what actually causes it in 2026, why re-running the pull is your first move, and which fixes are real versus the env vars everyone copies that don&apos;t exist.</description><pubDate>Wed, 15 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Ollama Slow? How to Get More Tokens per Second From the GPU You Already Have (2026)</title><link>https://runaihome.com/blog/ollama-slow-speed-up-tokens-per-second-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/ollama-slow-speed-up-tokens-per-second-2026/</guid><description>Five settings that actually move Ollama&apos;s tokens/sec — flash attention, KV cache quantization, num_ctx, num_batch, and keep_alive — with real defaults and the numbers behind each one.</description><pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Ollama Ignoring Half Your Prompt? Fix the Silent Context Truncation (num_ctx, 2026)</title><link>https://runaihome.com/blog/ollama-truncating-input-prompt-num-ctx-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/ollama-truncating-input-prompt-num-ctx-fix-2026/</guid><description>Fix Ollama&apos;s &apos;truncating input prompt&apos; problem: check your real context with ollama ps, raise num_ctx the right way, and dodge the OpenAI API trap.</description><pubDate>Mon, 03 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Ollama v0.30 on Apple Silicon: What the Stable MLX Release Actually Changed From the Preview</title><link>https://runaihome.com/blog/ollama-v030-mlx-stable-upgrade-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/ollama-v030-mlx-stable-upgrade-2026/</guid><description>Ollama v0.30 made MLX the default Mac engine and added Gemma 4 QAT, MTP speculative decoding, and KV-cache reuse. Here&apos;s what&apos;s measurably faster and how to verify it.</description><pubDate>Sun, 21 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Ollama vs LM Studio vs llama.cpp vs Jan.ai: Which Local LLM Runner Should You Use</title><link>https://runaihome.com/blog/ollama-vs-lm-studio-vs-llamacpp/</link><guid isPermaLink="true">https://runaihome.com/blog/ollama-vs-lm-studio-vs-llamacpp/</guid><description>A practical comparison of the four most popular local LLM runners — Ollama, LM Studio, llama.cpp, and Jan.ai — with real differences in setup, performance, model management, and integration. Includes a clear recommendation by use case.</description><pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Ollama for Non-Programmers: Run Local AI on Windows Without Code (2026)</title><link>https://runaihome.com/blog/ollama-zero-code-non-programmers-windows-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/ollama-zero-code-non-programmers-windows-2026/</guid><description>A complete zero-code path to running Ollama on Windows — GUI alternatives to command line, model picker by VRAM, ten common errors fixed. For creators, designers, students.</description><pubDate>Sat, 23 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Open-Source LLM Shootout 2026: Qwen3.6 vs Gemma 4 vs Llama 4 vs GLM-5.1 vs DeepSeek V4 — Which Fits Your GPU?</title><link>https://runaihome.com/blog/open-source-llm-consumer-gpu-shootout-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/open-source-llm-consumer-gpu-shootout-2026/</guid><description>Five open-weight model families, one question: which actually runs on your consumer GPU? VRAM tiers, tok/s on RTX 3090/4090, and licenses compared for 2026.</description><pubDate>Mon, 15 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Open WebUI Can&apos;t Connect to Ollama? Every Fix for the Server Connection Error (2026)</title><link>https://runaihome.com/blog/open-webui-cannot-connect-to-ollama-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/open-webui-cannot-connect-to-ollama-fix-2026/</guid><description>Open WebUI showing a server connection error? Fix the Docker networking trap, bind Ollama to 0.0.0.0, and clear the saved-URL override — with exact commands.</description><pubDate>Tue, 23 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Open WebUI Multi-User Setup 2026: Auth, User Roles, and Model Access Controls</title><link>https://runaihome.com/blog/open-webui-multi-user-auth-family-setup-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/open-webui-multi-user-auth-family-setup-2026/</guid><description>Add authentication, user roles, and per-user model controls to your home Ollama server with Open WebUI 0.6.x. Covers LDAP, OAuth, API keys, and the admin settings that are easy to miss.</description><pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>The Open-Weight vs Closed LLM Gap Nearly Closed in 2026: The GPU Guide to Running Yesterday&apos;s Frontier for Free</title><link>https://runaihome.com/blog/open-weights-closed-llm-gap-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/open-weights-closed-llm-gap-hardware-guide-2026/</guid><description>Open-weight LLMs now match closed models on knowledge benchmarks. Here&apos;s the exact GPU, VRAM, and tokens/sec you need to run them locally in 2026.</description><pubDate>Thu, 02 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>OpenAI&apos;s Models Escaped a Sandbox and Hacked Hugging Face: What the July 2026 Incident Actually Proves About Local AI</title><link>https://runaihome.com/blog/openai-exploitgym-local-ai-privacy-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/openai-exploitgym-local-ai-privacy-2026/</guid><description>OpenAI&apos;s GPT-5.6 Sol broke out of its eval sandbox and breached Hugging Face. Why a model on your own GPU can&apos;t do that — and the one setting that changes it.</description><pubDate>Mon, 27 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>OpenAI&apos;s Jalapeño Inference Chip: Does It Change Your Local GPU vs Cloud Math in 2026?</title><link>https://runaihome.com/blog/openai-jalapeno-chip-home-lab-cost-impact-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/openai-jalapeno-chip-home-lab-cost-impact-2026/</guid><description>OpenAI and Broadcom&apos;s Jalapeño chip targets ~50% cheaper inference. Here&apos;s why it doesn&apos;t move your buy-a-used-3090 vs cloud-API decision in 2026.</description><pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Ornith-1.0 for Local AI in 2026: Which GPU Runs DeepReinforce&apos;s MIT-Licensed Coding Model?</title><link>https://runaihome.com/blog/ornith-1-0-local-ai-coding-model-gpu-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/ornith-1-0-local-ai-coding-model-gpu-guide-2026/</guid><description>Ornith-1.0 dropped June 25 2026 under a clean MIT license in 9B, 31B, 35B-MoE, and 397B sizes. Here&apos;s the real GGUF size, VRAM, and which variant your GPU can actually run.</description><pubDate>Sat, 27 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Phi-4 for Local AI in 2026: Which GPU Runs Microsoft&apos;s Reasoning Model Family?</title><link>https://runaihome.com/blog/phi-4-local-ai-gpu-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/phi-4-local-ai-gpu-guide-2026/</guid><description>Microsoft Phi-4 beats Llama 3.3 70B on math and coding at 14B parameters. This GPU guide tells you exactly which card runs which variant, and what speed to expect.</description><pubDate>Sun, 31 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Power Bill Math: True Cost of Running a 24/7 AI Server at Home in 2026</title><link>https://runaihome.com/blog/power-bill-cost-home-ai-server-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/power-bill-cost-home-ai-server-2026/</guid><description>Real electricity cost math for home AI servers in 2026. Idle vs load draw, regional kWh prices, and the honest annual TCO for each GPU tier.</description><pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Programmer Surviving the Vibe Coding Era: How to Stay Valuable When AI Writes the Code</title><link>https://runaihome.com/blog/programmer-surviving-vibe-coding/</link><guid isPermaLink="true">https://runaihome.com/blog/programmer-surviving-vibe-coding/</guid><description>Honest perspective from a working backend engineer on what AI-assisted coding has actually changed about the job, what skills are appreciating in value, and the concrete steps to stay relevant when the productivity bar keeps moving.</description><pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>PSU Sizing for AI Workstations 2026: How Many Watts Do You Need?</title><link>https://runaihome.com/blog/psu-sizing-ai-workstations-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/psu-sizing-ai-workstations-2026/</guid><description>PSU wattage math for AI workstations in 2026. Component-by-component power draw, 80 PLUS rating advice, and the right wattage by GPU tier.</description><pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>QLoRA on RTX 4090 in 2026: True Total Cost After 100 Training Runs vs RunPod</title><link>https://runaihome.com/blog/qlora-rtx-4090-total-cost-vs-runpod-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/qlora-rtx-4090-total-cost-vs-runpod-2026/</guid><description>Real per-run cost for 100 QLoRA fine-tunes on a used RTX 4090 vs RunPod cloud. The contrarian math cloud vendors and DIY influencers both skip.</description><pubDate>Mon, 11 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Qualcomm&apos;s $10B Tenstorrent Bid: What RISC-V AI Cards Mean for Home Labs in 2026</title><link>https://runaihome.com/blog/qualcomm-tenstorrent-risc-v-ai-accelerator-home-lab-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/qualcomm-tenstorrent-risc-v-ai-accelerator-home-lab-2026/</guid><description>Qualcomm is in talks to buy Tenstorrent for up to $10B. Here&apos;s what the Blackhole p150a&apos;s 32GB at $1,399 actually does for local LLM inference vs a used RTX 3090 — and whether to buy now.</description><pubDate>Wed, 24 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Q4 vs Q5 vs Q6 vs Q8 Quantization: Real Quality Loss Numbers for Local LLMs (2026)</title><link>https://runaihome.com/blog/quantization-q4-q5-q6-q8-quality-loss-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/quantization-q4-q5-q6-q8-quality-loss-2026/</guid><description>Verified perplexity deltas, file sizes, and tokens-per-second benchmarks for every major GGUF quantization level. Know exactly when Q4_K_M is enough and when to go higher.</description><pubDate>Thu, 21 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Qwen3-30B-A3B Local AI Guide: 196 tok/s on One RTX 4090, and What MoE Means for Your GPU</title><link>https://runaihome.com/blog/qwen3-30b-a3b-local-ai-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/qwen3-30b-a3b-local-ai-guide-2026/</guid><description>Qwen3-30B-A3B activates only 3.3B of its 30.5B params per token, fits 24GB VRAM, and reaches up to 196 tok/s on RTX 4090. GPU benchmark table, setup guide, and thinking mode explained.</description><pubDate>Sun, 24 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Qwen3-Coder 480B-A35B Local Hardware Guide 2026: What GPU You Actually Need to Run the #1 Open-Weight Coding Model</title><link>https://runaihome.com/blog/qwen3-coder-480b-local-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/qwen3-coder-480b-local-hardware-guide-2026/</guid><description>Qwen3-Coder 480B-A35B rivals Claude Sonnet 4, but the smallest usable quant is 150GB. Here&apos;s the real VRAM math, the RunPod cloud path, and why the free API wins for most home labs.</description><pubDate>Thu, 02 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Qwen3-Coder-Next for Local AI in 2026: Which GPU Can Actually Run Alibaba&apos;s #1 Coding Agent?</title><link>https://runaihome.com/blog/qwen3-coder-next-local-ai-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/qwen3-coder-next-local-ai-hardware-guide-2026/</guid><description>Qwen3-Coder-Next scores 71.3% on SWE-bench Verified with only 3B active parameters out of 80B total. Here is which hardware setups actually run it locally.</description><pubDate>Sun, 31 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Qwen3.6-27B for Local AI in 2026: Which GPU Runs It and What Speed to Expect</title><link>https://runaihome.com/blog/qwen36-27b-local-ai-gpu-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/qwen36-27b-local-ai-gpu-guide-2026/</guid><description>Qwen3.6-27B beats a 397B MoE on coding with just 16.8 GB at Q4. Exact VRAM tables, tokens/sec by GPU tier, Ollama setup, and the dense-vs-MoE tradeoff explained.</description><pubDate>Fri, 29 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Qwen3.6-27B NVFP4 Dynamic Quants: What Unsloth&apos;s 2.5× Speedup Actually Delivers on RTX 50-Series (2026)</title><link>https://runaihome.com/blog/qwen36-27b-nvfp4-blackwell-2x-speed-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/qwen36-27b-nvfp4-blackwell-2x-speed-guide-2026/</guid><description>Unsloth&apos;s July 10 NVFP4 dynamic quants make Qwen3.6-27B ~2.5× faster on Blackwell GPUs. Real tok/s numbers, the 14GB VRAM math, and why RTX 4090 owners gain nothing.</description><pubDate>Thu, 30 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Qwen 3.6 35B-A3B for Local AI in 2026: The 24GB VRAM Line That Gets You 120 tok/s</title><link>https://runaihome.com/blog/qwen36-35b-a3b-local-ai-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/qwen36-35b-a3b-local-ai-guide-2026/</guid><description>Qwen 3.6 35B-A3B scores 73.4% SWE-bench and hits 120 tok/s on an RTX 4090 — but the MoE memory trap kills every 16GB GPU. Full VRAM, setup, and GPU compatibility guide.</description><pubDate>Mon, 08 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Qwen 3.7-Max for Local AI in 2026: What VRAM You&apos;ll Need When the Open Weights Drop</title><link>https://runaihome.com/blog/qwen37-max-local-ai-vram-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/qwen37-max-local-ai-vram-guide-2026/</guid><description>Qwen 3.7-Max is API-only today, but open weights are coming. Here&apos;s the exact VRAM required, with Qwen 3.6 proxy benchmarks and the honest API-vs-local cost math.</description><pubDate>Sun, 07 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Qwen3.8-Max for Local AI in 2026: Can Any Home Lab Run Alibaba&apos;s 2.4-Trillion-Parameter Preview?</title><link>https://runaihome.com/blog/qwen38-max-local-ai-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/qwen38-max-local-ai-hardware-guide-2026/</guid><description>Qwen3.8-Max is a 2.4T-parameter preview with no weights, no active-param count, and no published benchmarks. The real hardware math, and what to run instead.</description><pubDate>Fri, 24 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Raspberry Pi 5 for Local AI in 2026: LFM2.5-230M at 42 tok/s Under 1GB RAM — When a Cheap Pi Beats a $300 GPU for Always-On Edge Inference</title><link>https://runaihome.com/blog/raspberry-pi-5-local-ai-lfm25-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/raspberry-pi-5-local-ai-lfm25-2026/</guid><description>LiquidAI&apos;s 230M model decodes 42 tokens/sec on a Raspberry Pi 5 in under 1GB of RAM. Here&apos;s what that actually buys you, the real July 2026 Pi price after the RAM crisis, the benchmark numbers, and the narrow set of jobs where a 7-watt Pi beats a discrete GPU.</description><pubDate>Thu, 09 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>RDNA4 Vulkan vs ROCm 7.2 for Local LLMs: Which Backend Is Faster on the RX 9000 Series in 2026?</title><link>https://runaihome.com/blog/rdna4-vulkan-vs-rocm-local-llm-benchmark-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/rdna4-vulkan-vs-rocm-local-llm-benchmark-2026/</guid><description>Vulkan vs ROCm 7.2 benchmarks on RDNA4: real llama.cpp tok/s for RX 9070 XT, RX 9060 XT, and R9700, plus the build flags and Ollama setup for each backend.</description><pubDate>Fri, 24 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Real-time LLM inference on consumer GPUs in 2026: how 3,000 tokens/s per request changes what hardware you actually need</title><link>https://runaihome.com/blog/realtime-llm-inference-consumer-gpu-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/realtime-llm-inference-consumer-gpu-2026/</guid><description>Kog AI hit 3,000 tokens/s on 8× MI300X — the same bandwidth math applies to your RTX 5060 Ti or 4090. Here is what it means for GPU buying decisions in 2026.</description><pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>ROCm 7.2 on Ubuntu 24.04 for Local LLMs in 2026: Full Setup Guide for AMD GPUs</title><link>https://runaihome.com/blog/rocm-7-ubuntu-local-llm-setup-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/rocm-7-ubuntu-local-llm-setup-2026/</guid><description>Install ROCm 7.2.3 on Ubuntu 24.04 for local LLM inference with RDNA 3 and RDNA 4 GPUs. Real benchmarks, step-by-step commands, and the gfx1201 fix that actually works.</description><pubDate>Thu, 04 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>RTX 4060 Ti 16GB vs RX 7900 XT for Local AI: Is the NVIDIA Tax Worth It? (2026)</title><link>https://runaihome.com/blog/rtx-4060-ti-16gb-vs-rx-7900-xt-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/rtx-4060-ti-16gb-vs-rx-7900-xt-local-ai-2026/</guid><description>RTX 4060 Ti 16GB at $449 vs RX 7900 XT at ~$520 used. 2.8x bandwidth gap, 4GB more VRAM — but ROCm on Windows is still preview. The full breakdown.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>RTX 4080 Super 16GB for Local AI in 2026: 736 GB/s on the Used Market, and Why the Math Is Tighter Than You&apos;d Think</title><link>https://runaihome.com/blog/rtx-4080-super-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/rtx-4080-super-local-ai-2026/</guid><description>RTX 4080 Super hits 61 tok/s on Qwen3 14B at $860 used — 56% faster than the 5060 Ti 16GB. But the 5070 Ti looms $120 above it. Here&apos;s who should actually buy the 4080 Super.</description><pubDate>Sun, 07 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>New RTX 5060 8GB vs Used RTX 4070 12GB for Local AI in 2026: GDDR7 Speed vs Extra VRAM</title><link>https://runaihome.com/blog/rtx-5060-8gb-vs-used-rtx-4070-12gb-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/rtx-5060-8gb-vs-used-rtx-4070-12gb-local-ai-2026/</guid><description>A new RTX 5060 8GB or a used RTX 4070 12GB for local LLMs? The 4070 wins on bandwidth AND VRAM, but it now costs ~$110 more. Here is the honest sub-$500 verdict with real tok/s numbers.</description><pubDate>Sun, 05 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>RTX 5060 for Local AI in 2026: When 448 GB/s Hits an 8GB Wall</title><link>https://runaihome.com/blog/rtx-5060-local-ai-8gb-gddr7-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/rtx-5060-local-ai-8gb-gddr7-2026/</guid><description>The RTX 5060 brings GDDR7 bandwidth to $299 but its 8GB VRAM cap locks you to 7B-class LLMs. Here is exactly who should buy it and who should skip to the 5060 Ti.</description><pubDate>Sun, 31 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>RTX 5060 Ti 16GB vs Used RTX 3090 24GB for Local AI: 3-Year Total Cost Decision (2026)</title><link>https://runaihome.com/blog/rtx-5060-ti-16gb-vs-used-rtx-3090-total-cost-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/rtx-5060-ti-16gb-vs-used-rtx-3090-total-cost-2026/</guid><description>New RTX 5060 Ti 16GB at $429 or a used RTX 3090 24GB at ~$1,050: we run the 3-year TCO math and build a use-case decision matrix for local AI workloads.</description><pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>RTX 5060 Ti 8GB vs 16GB for Local AI in 2026: Is the $50 Upgrade Worth It?</title><link>https://runaihome.com/blog/rtx-5060-ti-8gb-vs-16gb-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/rtx-5060-ti-8gb-vs-16gb-local-ai-2026/</guid><description>RTX 5060 Ti 8GB and 16GB are identical chips with one difference: VRAM. For local LLMs that difference is everything — here is exactly what fits and what does not.</description><pubDate>Wed, 27 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>RTX 5060 Ti 16GB Ollama Benchmark: Llama2 13B, Mistral 7B, and DeepSeek-Coder Real Numbers (May 2026)</title><link>https://runaihome.com/blog/rtx-5060-ti-ollama-llama2-mistral-deepseek-benchmark-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/rtx-5060-ti-ollama-llama2-mistral-deepseek-benchmark-2026/</guid><description>Live Ollama 0.23.2 benchmarks on an RTX 5060 Ti 16GB: Llama2 13B at 53 tok/s, Mistral 7B at 90 tok/s, DeepSeek-Coder 6.7B at 101 tok/s. Real VRAM usage and cold-load times.</description><pubDate>Wed, 13 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>RTX 5060 Ti vs RTX 4060 Ti for Local AI in 2026: Worth the Upgrade?</title><link>https://runaihome.com/blog/rtx-5060-ti-vs-4060-ti-local-ai/</link><guid isPermaLink="true">https://runaihome.com/blog/rtx-5060-ti-vs-4060-ti-local-ai/</guid><description>RTX 5060 Ti 16GB vs RTX 4060 Ti 16GB for local AI in 2026 — bandwidth, tokens/sec, real prices, and the honest verdict on whether to upgrade.</description><pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>RTX 5070 Ti vs RTX 5080 for Local AI (2026): Same 16GB Ceiling, $270 Apart</title><link>https://runaihome.com/blog/rtx-5070-ti-vs-rtx-5080-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/rtx-5070-ti-vs-rtx-5080-local-ai-2026/</guid><description>Head-to-head LLM benchmarks and 3-year cost math for the two Blackwell 16GB cards. With identical VRAM, the performance gap is smaller than the price gap suggests.</description><pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>RTX 5070 12GB vs RTX 5060 Ti 16GB for Local AI in 2026: More Bandwidth, but the Wrong Trade-off?</title><link>https://runaihome.com/blog/rtx-5070-vs-rtx-5060-ti-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/rtx-5070-vs-rtx-5060-ti-local-ai-2026/</guid><description>The RTX 5070 (672 GB/s) is 49% faster in bandwidth than the RTX 5060 Ti 16GB — but its 12GB VRAM ceiling knocks out 14B–20B models at long context. Full LLM and image-gen benchmarks.</description><pubDate>Wed, 27 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>RTX 5090 vs RTX 4090 for Local AI in 2026: Worth the $400+ Difference?</title><link>https://runaihome.com/blog/rtx-5090-vs-rtx-4090-local-ai/</link><guid isPermaLink="true">https://runaihome.com/blog/rtx-5090-vs-rtx-4090-local-ai/</guid><description>RTX 5090 32GB at $1,999 vs used RTX 4090 24GB at ~$2,300 in June 2026. Real bandwidth, VRAM, and tokens/sec math, plus the honest verdict on which to buy.</description><pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>RTX 5090 vs RTX 5080 for Local AI in 2026: Does 32GB vs 16GB Change What You Can Run?</title><link>https://runaihome.com/blog/rtx-5090-vs-rtx-5080-local-ai-32gb-vs-16gb-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/rtx-5090-vs-rtx-5080-local-ai-32gb-vs-16gb-2026/</guid><description>RTX 5090 vs RTX 5080 for local AI: what 32GB vs 16GB VRAM actually unlocks, real tokens/sec on both cards, and the August 2026 price math.</description><pubDate>Thu, 06 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>RTX PRO 6000 Blackwell for Local AI in 2026: 96GB GDDR7, the 120B+ MoE Threshold, and Whether a Workstation Card Makes Sense for Home Labs</title><link>https://runaihome.com/blog/rtx-pro-6000-blackwell-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/rtx-pro-6000-blackwell-local-ai-2026/</guid><description>The RTX PRO 6000 Blackwell packs 96GB GDDR7 and runs gpt-oss 120B at 193 tok/s — but it costs ~$8,500. Here&apos;s when a workstation card beats multi-GPU at home, and when it&apos;s a waste.</description><pubDate>Thu, 11 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>How to Run a 70B Model on a Single 24GB GPU in 2026 (and When You Shouldn&apos;t)</title><link>https://runaihome.com/blog/run-70b-model-24gb-gpu-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/run-70b-model-24gb-gpu-2026/</guid><description>Partial offload, KV cache quantization, and the real tokens/sec for running a 70B LLM on one 24GB GPU like the RTX 3090 or 4090 in 2026.</description><pubDate>Sun, 28 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Running 100B+ Parameter Models on Mac Studio: What Actually Works in 2026</title><link>https://runaihome.com/blog/running-100b-models-mac-studio-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/running-100b-models-mac-studio-2026/</guid><description>The Mac Studio M3 Ultra is still the only consumer machine for 100B+ inference — but the 2026 DRAM shortage has permanently changed which configs you can buy.</description><pubDate>Wed, 20 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>RunPod vs Local GPU 2026: When to Rent and When to Buy for Local AI</title><link>https://runaihome.com/blog/runpod-vs-local-gpu-rent-or-buy/</link><guid isPermaLink="true">https://runaihome.com/blog/runpod-vs-local-gpu-rent-or-buy/</guid><description>RunPod cloud GPU rental vs buying a local AI workstation in 2026. Real breakeven math by usage profile and the honest verdict for each developer type.</description><pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>AMD RX 9070 XT vs RTX 5060 Ti 16GB for Local AI in 2026: 640 vs 448 GB/s, Same Practical Speed</title><link>https://runaihome.com/blog/rx-9070-xt-vs-rtx-5060-ti-16gb-local-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/rx-9070-xt-vs-rtx-5060-ti-16gb-local-ai-2026/</guid><description>The RX 9070 XT packs 43% more memory bandwidth than the RTX 5060 Ti 16GB — but delivers only 5–10% more tokens per second for local LLMs. Full comparison of specs, benchmarks, power draw, and ROCm setup friction.</description><pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>AMD Ryzen AI Max+ 395 (Strix Halo) for Local LLMs in 2026: 128GB Unified Memory, 100 t/s on 30B Models, and Whether It Beats a Discrete GPU</title><link>https://runaihome.com/blog/ryzen-ai-max-395-strix-halo-local-llm-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/ryzen-ai-max-395-strix-halo-local-llm-2026/</guid><description>Benchmarks and a clear verdict on the AMD Ryzen AI Max+ 395 for local LLM inference — what it runs, what it can&apos;t, and whether the $1,499+ price makes sense.</description><pubDate>Wed, 03 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Safetensors HeaderTooLarge Error? Your Model File Isn&apos;t a Model — the 60-Second Diagnosis (2026)</title><link>https://runaihome.com/blog/safetensors-headertoolarge-error-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/safetensors-headertoolarge-error-fix-2026/</guid><description>Fix safetensors HeaderTooLarge, MetadataIncompleteBuffer, and InvalidHeaderDeserialization errors in ComfyUI, transformers, and LM Studio by checking what you actually downloaded.</description><pubDate>Sun, 02 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Samsung Health&apos;s AI Training Ultimatum: Why Your Home-Lab GPU Is Still the Only Private Computer You Own</title><link>https://runaihome.com/blog/samsung-health-data-grab-local-ai-privacy-case-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/samsung-health-data-grab-local-ai-privacy-case-2026/</guid><description>Samsung Health asked users to consent to AI training or lose synced data. It&apos;s a preview of every cloud service&apos;s endgame — and the clearest argument yet for routing sensitive prompts to a GPU you actually own.</description><pubDate>Thu, 16 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Sandbox Your Local AI Agents on macOS: Agent Safehouse and the Deny-First Fix the July Escapes Demanded (2026)</title><link>https://runaihome.com/blog/sandbox-local-ai-agents-macos-agent-safehouse-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/sandbox-local-ai-agents-macos-agent-safehouse-2026/</guid><description>How to sandbox local AI coding agents on macOS with Agent Safehouse: deny-first Seatbelt policies, real commands, and why July 2026&apos;s sandbox escapes make it urgent.</description><pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Stable Diffusion vs SDXL vs Flux: Which Image Generation Model Should You Use in 2026</title><link>https://runaihome.com/blog/sd-vs-sdxl-vs-flux/</link><guid isPermaLink="true">https://runaihome.com/blog/sd-vs-sdxl-vs-flux/</guid><description>A practical comparison of the three dominant local image generation model families — SD 1.5, SDXL, and Flux — covering quality, VRAM cost, generation speed, fine-tuning ecosystem, and which one is right for your hardware and workflow.</description><pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Shard Framework in 2026: A 744B Model at 30 tok/s Across Six States — What the WAN Math Means for Your Home Lab</title><link>https://runaihome.com/blog/shard-framework-pipeline-parallel-consumer-gpu-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/shard-framework-pipeline-parallel-consumer-gpu-guide-2026/</guid><description>Shard runs GLM-5.2 744B at 30 tok/s across GPUs in six US states. The pipeline-parallel math, the RTX PRO 6000 reality, and when WAN inference makes sense.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Local AI Crawling on Windows? Shared GPU Memory Is Why — the NVIDIA Sysmem Fallback Fix (2026)</title><link>https://runaihome.com/blog/shared-gpu-memory-slow-local-ai-sysmem-fallback-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/shared-gpu-memory-slow-local-ai-sysmem-fallback-fix-2026/</guid><description>Fix the silent 10x slowdown when local AI spills into shared GPU memory on Windows: what NVIDIA&apos;s sysmem fallback does, how to spot it in Task Manager, and when to turn it off.</description><pubDate>Thu, 30 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Speculative Decoding for Local LLMs in 2026: The Setup That Doubles Your Tokens per Second (and When It Backfires)</title><link>https://runaihome.com/blog/speculative-decoding-llama-cpp-local-llm-setup-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/speculative-decoding-llama-cpp-local-llm-setup-2026/</guid><description>A hands-on 2026 guide to speculative decoding in llama.cpp, Ollama, and LM Studio: the renamed flags, MTP, real tok/s numbers, and when a draft model makes you slower.</description><pubDate>Sat, 04 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Hosting Stable Diffusion as a Family Service: Multi-User Setup (2026)</title><link>https://runaihome.com/blog/stable-diffusion-family-server-multi-user-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/stable-diffusion-family-server-multi-user-2026/</guid><description>Share your home Stable Diffusion server with family using ComfyUI or A1111, basic auth, per-user workflow folders, and Tailscale for phone access.</description><pubDate>Wed, 13 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>How Much RAM for Local LLMs in 2026: 32GB vs 64GB vs 128GB Tested</title><link>https://runaihome.com/blog/system-ram-for-local-llms-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/system-ram-for-local-llms-2026/</guid><description>Real-world RAM benchmarks for local LLM workstations in 2026: 32GB cap, 64GB sweet spot, 128GB for multi-model setups. Includes DDR5 vs DDR4 speed impact and per-use-case recommendations.</description><pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Tencent Hy3 for Local AI in 2026: The First 295B Frontier MoE That Fits a $2,000 Home-Lab Box</title><link>https://runaihome.com/blog/tencent-hy3-295b-local-ai-hardware-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/tencent-hy3-295b-local-ai-hardware-guide-2026/</guid><description>Tencent&apos;s official 1-bit Hy3 GGUF is 91.8GB — small enough for a Strix Halo mini PC at 24.3 tok/s with MTP. The real hardware map, quant by quant.</description><pubDate>Sat, 25 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Running a 28.9M-Parameter LLM on an $8 Microcontroller: What Tiny Edge AI Means for Home Lab Builders in 2026</title><link>https://runaihome.com/blog/tiny-llm-microcontroller-8-dollar-chip-edge-ai-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/tiny-llm-microcontroller-8-dollar-chip-edge-ai-2026/</guid><description>A 28.9M-parameter LLM now runs at 9.5 tok/s on an $8 ESP32-S3 using Gemma-style per-layer embeddings. What it can actually do, and why home labs should care.</description><pubDate>Mon, 27 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Unified-Memory AI PCs Are Suddenly 75% More Expensive: What the EVO-X2 and RTX PRO 6000 Price Surge Means for Home Lab Buyers (Mid-2026)</title><link>https://runaihome.com/blog/unified-memory-ai-pc-price-surge-mid-2026-buying-guide/</link><guid isPermaLink="true">https://runaihome.com/blog/unified-memory-ai-pc-price-surge-mid-2026-buying-guide/</guid><description>The GMKtec EVO-X2 128GB now debuts at $3,499 (was $1,999) and the RTX PRO 6000 hit $13,250. The mid-2026 price surge, tier by tier, and what to buy now.</description><pubDate>Fri, 31 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Fix &quot;Unknown Model Architecture&quot; in Ollama and llama.cpp (2026): Why New GGUFs Won&apos;t Load and How to Run Them</title><link>https://runaihome.com/blog/unknown-model-architecture-gguf-ollama-llama-cpp-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/unknown-model-architecture-gguf-ollama-llama-cpp-fix-2026/</guid><description>The GGUF you just downloaded fails with &quot;unknown model architecture.&quot; Here&apos;s the real cause, a 30-second diagnosis, and the exact fix for Ollama, llama.cpp, and self-converted models.</description><pubDate>Mon, 13 Jul 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Used RTX 3090 in 2026: Still the AI Value King, or Time to Move On?</title><link>https://runaihome.com/blog/used-rtx-3090-ai-value-king-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/used-rtx-3090-ai-value-king-2026/</guid><description>Is the used RTX 3090 24GB still the best home AI GPU at $1,050 in 2026? Real per-VRAM math vs the 5060 Ti, 4090, and 5090 — and the honest verdict.</description><pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>vLLM Won&apos;t Start? Every Fix for the Engine Init, CUDA, and OOM Errors (2026)</title><link>https://runaihome.com/blog/vllm-engine-startup-errors-fix-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/vllm-engine-startup-errors-fix-2026/</guid><description>vLLM crashing on startup with &apos;No available memory for the cache blocks&apos; or hanging at NCCL init? Decode the error, then fix it — exact flags, env vars, and version notes for 2026.</description><pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>vLLM vs Ollama in 2026: When Each One Wins, With Real Concurrency Numbers</title><link>https://runaihome.com/blog/vllm-vs-ollama-when-each-wins-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/vllm-vs-ollama-when-each-wins-2026/</guid><description>A grounded comparison of vLLM and Ollama for local AI serving in 2026: throughput at 1/8/50 concurrent users, when continuous batching matters, and the migration path.</description><pubDate>Mon, 11 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Wan 2.1, 2.2, and 2.7 for Local AI Video Generation: Which GPU Can Actually Run It (2026 Guide)</title><link>https://runaihome.com/blog/wan-video-local-ai-gpu-guide-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/wan-video-local-ai-gpu-guide-2026/</guid><description>Real benchmark data and VRAM requirements for running the Wan open-source video model family locally — generation speeds, tier recommendations, and what to buy in June 2026.</description><pubDate>Wed, 03 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Welcome to RunAIHome — and what is coming</title><link>https://runaihome.com/blog/welcome-and-roadmap/</link><guid isPermaLink="true">https://runaihome.com/blog/welcome-and-roadmap/</guid><description>Why this site exists, what we plan to cover, and the first wave of benchmarks and tutorials in the queue.</description><pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>When NOT to Use a NAS for Local LLMs (and the 1 Case Where It Works)</title><link>https://runaihome.com/blog/when-not-to-use-nas-for-local-llms-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/when-not-to-use-nas-for-local-llms-2026/</guid><description>Your NAS CPU delivers 1–5 tokens per second for a 7B model — unusable for real-time AI chat. Here is the honest verdict on NAS and local LLMs in 2026.</description><pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Self-Host Whisper Large-v3 as a Transcription Server in 2026: faster-whisper + FastAPI</title><link>https://runaihome.com/blog/whisper-large-v3-self-hosted-transcription-server-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/whisper-large-v3-self-hosted-transcription-server-2026/</guid><description>Run Whisper Large-v3 on your own GPU: faster-whisper server with FastAPI, real VRAM benchmarks per GPU tier, live vs batch tradeoffs, and the hardware minimum that actually works.</description><pubDate>Wed, 13 May 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>Why Local LLMs Got Good in 2026: Multi-Token Prediction, Speculative Decoding, and the MoE Efficiency Leap</title><link>https://runaihome.com/blog/why-local-llms-got-good-mid-2026-speculative-decoding-moe/</link><guid isPermaLink="true">https://runaihome.com/blog/why-local-llms-got-good-mid-2026-speculative-decoding-moe/</guid><description>Three techniques — multi-token prediction, speculative decoding, and sparse MoE — closed the gap between local models and cloud APIs in 2026. Here&apos;s how each one works.</description><pubDate>Thu, 18 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>WSL 3 GPU Passthrough for Local AI on Windows in 2026: Near-Native Ollama, llama.cpp, and PyTorch</title><link>https://runaihome.com/blog/wsl3-gpu-passthrough-local-ai-windows-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/wsl3-gpu-passthrough-local-ai-windows-2026/</guid><description>WSL 3 brings paravirtualized GPU and NPU passthrough to Windows at 3-5% of bare-metal Linux speed. What it changes for local AI, and how to set it up today.</description><pubDate>Mon, 15 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>WWDC 2026 Home Lab Verdict: What Apple&apos;s Foundation Models, Core AI, and Siri Actually Deliver for Local AI</title><link>https://runaihome.com/blog/wwdc-2026-apple-ai-home-lab-verdict-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/wwdc-2026-apple-ai-home-lab-verdict-2026/</guid><description>Apple shipped AFM 3, a 20B sparse on-device model, Xcode 27 agents, and a Gemini-powered Siri at WWDC 2026. Here&apos;s what it changes for Mac Studio and home lab AI builders.</description><pubDate>Wed, 17 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item><item><title>WWDC 2026 Preview: Apple Foundation Models and Core AI — What On-Device AI Actually Means for Home Lab Builders</title><link>https://runaihome.com/blog/wwdc-2026-apple-foundation-models-core-ai-home-lab-2026/</link><guid isPermaLink="true">https://runaihome.com/blog/wwdc-2026-apple-foundation-models-core-ai-home-lab-2026/</guid><description>Apple&apos;s WWDC 2026 keynote (June 8) is expected to replace Core ML with Core AI, ship Gemini-trained Foundation Models, and rebuild Siri. Here&apos;s what each change means if you build or run local AI at home.</description><pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate><author>RunAIHome Team</author></item></channel></rss>