Find the right hardware for local AI

Tell us what you want to run locally, and we’ll sort the hardware.

Start with a model, an AI task, or the hardware you already have. OwnRig matches it with real compatibility data, curated builds, and honest tradeoffs.

65 AI models 27 GPUs 1,731 hardware configs tested

See it in action

This is what OwnRig actually shows you

Search Llama 3.1 8B for AI coding. Three GPUs, tiered by budget, VRAM fit and price included.

Budget

RTX 3060 12GB

Q4_K_M · 4.9 GB fits in 12 GB

Smaller than Q5 and Q8. Also runs Mistral 7B, Gemma 3 4B.

$269

Sweet spot

RTX 4060 Ti 16GB

Q5_K_M · 5.8 GB fits in 16 GB

Best balance of size and output quality. Handles 14B models too.

$449

Maximum

RTX 4090

Q8_0 · 8.9 GB fits in 24 GB

Near-original model quality. Also runs 32B models at Q4_K_M.

$1,799

Based on verified compatibility data · Prices from Amazon US (Mar 2026)

Try with your setup →

Built on real compatibility data

Model requirements, hardware limits, and build recommendations, grounded in real compatibility data.

65AI models
27Discrete GPUs
1731Compatibility entries

Proven setups

Featured builds

Browse proven setups once you know the kind of hardware you need.

From the community

Builders who found their setup

I was about to overspend on a 4090 when OwnRig showed me a 3060 12GB handles everything I need for local Copilot. Saved me $800.

Derek M.Full-stack developer, Chicago

Finally, someone who answers "what GPU for Llama 70B" without a 45-minute YouTube video. Bookmarked the day I found it.

Maya C.ML engineer, San Francisco

Built my home AI server using the Mid-Range AI Workstation build. Running Mistral privately for my SaaS. The cloud API savings paid for the hardware in 4 months.

Tomasz R.Indie hacker, Warsaw

Know what to build before you spend a dollar.

Start with your goal, your current hardware, or your budget. OwnRig will guide the rest.

Find the right hardware