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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LM Studio Locally + LM Link 2026: Control Your Home GPU Rig From Your iPhone
LM Studio 0.4.16 added Locally for iPhone and LM Link, an encrypted Tailscale mesh that runs your Mac or RTX rig's models from your phone. Full setup, real latency, and which model sizes feel fast enough.
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MiniMax M3 Local AI Hardware Guide 2026: The 428B Open-Weight Model You (Probably) Can't Run at Home
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.
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Open-Source LLM Shootout 2026: Qwen3.6 vs Gemma 4 vs Llama 4 vs GLM-5.1 vs DeepSeek V4 — Which Fits Your GPU?
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.
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WSL 3 GPU Passthrough for Local AI on Windows in 2026: Near-Native Ollama, llama.cpp, and PyTorch
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.
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CUDA Out of Memory on Local AI? Every Fix That Works for Ollama, llama.cpp, ComfyUI, and vLLM (2026)
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.
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