Your data.
Your hardware.
Your AI.

The definitive resource for running large language models on your own machine. Hardware picks, software walkthroughs, model benchmarks. No cloud required.

terminal
$ ollama pull deepseek-r1:32b
pulling manifest... done
pulling model weights... 18.4 GB
verifying sha256... done

$ ollama run deepseek-r1:32b
>>> Model loaded on RTX 4090 (24GB VRAM)
>>> Inference speed: 42 tok/s
Ready. No API key. No cloud. No limits.

200+
Open models available
83%
Cost savings vs cloud APIs
24GB
VRAM runs 70B models
0
Data sent to third parties
// Guides

Start running models locally

From your first ollama pull to optimizing inference speed. No fluff.

// Hardware

Pick the right GPU

Your GPU determines everything — model size, speed, and quality. Here's the 2026 cheat sheet.

Budget
💰

RTX 4060 Ti 16GB

The best value entry point. 16GB VRAM runs 13B models at solid quality.

VRAM 16 GB
Price ~$350
Best for 7B–13B models
Best Value

RTX 5070 Ti

2026's sweet spot. Fast GDDR7 memory and great price-to-performance ratio.

VRAM 16 GB
Price ~$700
Best for 13B+ fast
Premium
🚀

RTX 5090

The endgame. 32GB VRAM runs 70B parameter models with zero compromises.

VRAM 32 GB
Price ~$1,500
Best for 70B models
Read the full GPU buying guide →

Built For

Whether you're starting out or scaling up

From your first ollama pull to production inference serving thousands of requests. Guides for every stage of the local AI journey.

DEVELOPER Ship AI features without per-token costs or data leakage
TEAM LEAD Deploy private, compliant LLM infrastructure for your org
ENTHUSIAST Run the latest open models on your own rig, no subscription needed

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