Push your AI code to a repo. We handle containers, scaling, cold
starts, and infrastructure — you ship features.
We built NovAI after watching brilliant researchers and indie developers get priced out of the compute needed to turn ideas into reality. The hyperscalers made GPU compute complex, expensive, and opaque.
Our answer: a serverless-first platform where you call an API, your model runs on H100 silicon, and you pay only for the milliseconds of compute you actually used. No clusters to manage. No reserved capacity to overpay for.
Our pricing, uptime, and incident history are always public—because transparency should be the standard.
Every decision runs through one filter: does this make a developer's life meaningfully easier? If not, it doesn't ship.
Cold starts under 340ms, deploys under 90 seconds. Latency isn't a tradeoff we accept — it's an engineering problem we obsess over.
A researcher at a university and an engineer at a trillion-dollar company should have the same access to GPU infrastructure. Full stop.
Every request is logged, every GPU is metered, and every latency spike is visible in your dashboard — no black boxes.
Our serverless model eliminates idle GPU waste by design. Every watt of GPU power we serve traces to renewable energy.
We’re remote-first, async by default, and deeply skeptical of meetings that could’ve been a Notion doc.
