Real benchmarks. Real hardware. Real costs.
Run AI at home, practically.
GPU benchmarks, local LLM tutorials, ComfyUI workflows, and self-hosted AI guides for the home lab crowd. Tested on the cards you can actually buy.
What we cover
Four corners of the home AI lab.
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GPU Benchmarks
Real numbers for Stable Diffusion, Flux, ComfyUI, and local LLMs across the cards normal humans can afford.
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Local LLM Tutorials
Step-by-step Ollama, llama.cpp, LM Studio, and quantized model picks that fit your VRAM, not a datacenter's.
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ComfyUI & Image Gen
Workflows that work, LoRA training on limited VRAM, and node setups without the YouTube guesswork.
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Self-Hosted Stack
Open WebUI, n8n automations, privacy-first infra. Your data, your hardware, your rules.
Latest posts
Fresh from the bench.
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Best CPUs for LLM Inference in 2026: Ranked by the Only Spec That Matters
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.
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Meta Muse Glimmer 30B on Consumer Hardware: Real VRAM Numbers, the DFlash Catch, and Which GPU Tier Actually Runs It
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.
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Best Local LLMs for 32GB VRAM in 2026: The First Single Card That Holds a 70B
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.
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Best Local LLMs for 6GB VRAM in 2026: The Realistic List
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.
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Best Local LLMs for 16GB VRAM in 2026: The 20B–26B Class, Including the Best Coding Model
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.
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