# Know your next GPU.

In development

The right GPU is more than a bigger number. We’re connecting the specs, the fit and the AI workloads—so you can see the whole picture before you build.

- GPU Ninja Dojo — In development: GPU fundamentals and guided labs for local and cloud AI.

- Connected hardware catalog — Available at launch: GPU specs, case clearance and power requirements in one view.

- Public data API — Available at launch: structured hardware data with source provenance for your own tools.

- AI assistant integration — Planned: model compatibility tools and an MCP connection for hardware questions.

## Explore the early tools and documentation

Buyer’s guide: https://gpuninja.com/guide
Explore graphics cards by the memory, power and space your build needs. The early guide brings those tradeoffs together; catalog results will expand as the public data becomes available.

Workload planner: https://gpuninja.com/planner
Estimate the memory and compute an AI model needs before choosing hardware. Explore how model size, precision and context change the requirements.

Browser benchmark: https://gpuninja.com/benchmark
Run a benchmark on your own device to measure memory bandwidth and compute performance. Bring those measurements into the workload planner for a more personal estimate.

Solution builder: https://gpuninja.com/builder
Explore a complete hardware configuration and check how its components work together. Review fit, power and workload constraints in one place as the catalog develops.

Documentation: https://gpuninja.com/docs
Learn how the tools work, what the estimates mean and where their limits are. Find the methods, data conventions and API plans behind GPU Ninja.

Blog: https://gpuninja.com/blog
Read project updates and the thinking behind the tools. Follow GPU Ninja from its first foundations toward a connected hardware and AI resource.

## What comes next

Explore the early tools — Now
Try the buyer’s guide, workload planner and browser benchmark. Follow the build through the docs and blog.

Connect the whole picture — At launch
Explore the connected hardware catalog and public JSON API, with GPU specs, case clearance, power requirements and source provenance.

Learn. Build. Go further. — Beyond launch
GPU Ninja Dojo, guided labs and AI assistant integrations will build on the same hardware foundation.

## Questions

### Can I browse or compare GPUs yet?

The connected hardware catalog will be available at launch. For now, explore the early buyer’s guide, workload planner and browser benchmark; catalog-dependent features are limited while the launch data is being prepared.

### What makes GPU Ninja different?

We’re designing around the connections between hardware: the chip inside a board, the case it fits, and the AI model it could run. The aim is to make those relationships useful to people, applications and AI assistants from the same dataset.

### Will there be an API?

Yes. The public JSON API will be available at launch, with structured hardware data and source provenance for your own tools. Documentation will explain how to use it.

### Can I sign up for updates?

Email signup is not available in this release. You can return to this page to check the roadmap; no account is needed to read it.

Privacy: https://gpuninja.com/legal/privacy