Start here
Run AI locally
Start with a practical single-GPU machine plan for local models, CUDA tools, and home experimentation.
See our featured buildGPU price tracker
Choose the right GPU or full build without the retailer tab chaos.
gpu.watch is built around the next decision, not just raw listings. Compare live GPU pricing, start from a proven build, or jump straight to the workstation route when that is clearly the better fit.
Start here
Build a workstation
Jump straight to the higher-VRAM, all-day-stable option when thermals, uptime, and professional work matter.
See our featured workstation buildStart here
Find a GPU
Compare standalone cards by price, stock, VRAM, and recent movement when you already know the machine around it.
Browse GPU listingsFeatured builds
Three build-first answers to the most common buying decisions
These featured systems cover the main routes people actually take: the best all-around local AI box, the safest budget entry, and the workstation-minded step up.
The enthusiast sweet spot for a fast single-GPU local LLM and creator workstation.
Run Llama 3, Mixtral, and Stable Diffusion locally on a powerful single-GPU setup.
Runs Llama 3, Mixtral, and SDXL locally on one GPU.
The most affordable way to run local AI models at home.
An affordable AI PC build for local LLM experimentation, CUDA projects, and entry-level image generation at home.
Runs Llama 3 8B, Mistral, and SDXL on a tighter budget.
A professional-grade AI workstation with more VRAM and stability.
A professional AI workstation build tuned for larger models, better thermals, and the kind of stability serious daily workloads demand.
Built for bigger quantized models, heavier context windows, and all-day workstation use.
Featured cards
Useful starting points for browsing the catalog
A mix of halo GPUs, sensible 16GB picks, and value options for lighter builds.
The catalog starts narrow by design.
gpu.watch begins with the cards and retailers it can track well, then adds new GPU families and deeper price history as each slice is ready.
Recent price drops
Where the tracked market moved the most
These examples are driven from recent snapshots so the homepage reflects live or recently refreshed price movement.
No notable price swings yet.
We'll surface the biggest tracked drops here as retailer snapshots build out over time.
How it works
Clean market tracking, page by page
gpu.watch keeps the public experience focused on prices, stock, and freshness so comparisons stay fast and useful.
1. Track the catalog
Each GPU page brings together current pricing, stock posture, and the key specs you need to compare cards quickly.
2. Normalize retailer snapshots
Retailer listings are organized into a cleaner market view so price swings and in-stock options are easier to spot.
3. Publish useful comparisons
Every route is built to be easy to search, share, and revisit when you are watching a specific card.