Neuronova SDK — Early Access

This is an early-access release of the Neuronova SDK, designed to give you hands-on access to a new computing paradigm: always-on, ultra-low-power analog AI at the edge.

Some features may be incomplete, APIs may evolve, and parts of the experience will change as the technology matures. This is expected at this stage.

We’re releasing the SDK early on purpose. We believe the fastest way to build the right platform is to build it together with the people who are pushing real application to the real world, not in isolation.

Your feedback is extremely important to us. What works, what doesn’t, what feels missing, all of it directly influences our roadmap, our tooling, and the next iterations of both software and silicon.

This is not just about testing an SDK.
It’s about shaping a new always-on intelligence layer at the edge.

Thank for being with us!

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FAQ

What is the NWAVE SDK and who should use it?

The NWAVE SDK provides tools, examples, and documentation for training and deploying models on NWAVE hardware. Use it if you are preparing data, training models, or validating workflows intended for NWAVE chips.

How should I start a new project?

Begin with the Quickstart guide to set up your environment and run a minimal example. Once that works, move to the Tutorials and Examples to expand your workflow and explore advanced features.

Why start without non-idealities?

Starting with ideal settings speeds up iteration and helps you establish a stable baseline. Add hardware constraints and non-idealities only after the core workflow is working.

Where can I find working examples and reference APIs?

Use Examples for end-to-end workflows and Reference for API details. The Utilities and Data Prep sections provide supporting tools for common tasks like preprocessing and evaluation.