Novita AI provides a cloud platform that abstracts GPU infrastructure, offering a unified REST API to access over 200 pre‑integrated LLM, vision, TTS, and embedding models. The service includes on‑demand and spot GPU instances, private endpoints for custom models, and per‑second billing with built‑in security, monitoring, and SLA guarantees, enabling developers and enterprises to scale inference and autonomous agents without managing hardware.
Funding
Funding not disclosed
Founders
Product
Problem
Developers and enterprises building AI applications must provision, configure, and maintain GPU infrastructure to run large language models, multimodal models, and autonomous agents. Managing scaling, latency, and security across diverse workloads adds operational overhead and cost, slowing product development and time‑to‑market.
Solution
Novita AI offers a developer‑first cloud platform that abstracts away GPU infrastructure while providing instant access to over 200 pre‑integrated model APIs and a sandbox for autonomous agents. Users can call models via a single REST endpoint, scale from prototype to production without provisioning servers, and rely on built‑in monitoring and SLA guarantees for custom deployments. The platform includes globally distributed GPU instances with on‑demand and spot pricing, private endpoints for proprietary models, and per‑second billing that aligns costs with actual usage. Security is baked in through isolated containers, role‑based access controls, and end‑to‑end encryption, enabling teams to focus on model innovation rather than ops.
Target Audience
The primary customers are AI developers, product teams, and SaaS startups that need scalable inference or autonomous agent execution, as well as larger enterprises seeking secure, cost‑effective GPU compute for custom model deployments.
Features
- Unified API gateway exposing 200+ LLM, vision, TTS, and embedding models with versioned endpoints.
- Custom model deployment service offering private endpoints, SLA‑backed performance, and round‑the‑clock health monitoring.
- Agent Sandbox delivering isolated container runtimes, ~200 ms startup, safe tool access (browser, API, code), and massive concurrency with per‑second CPU/RAM billing.
- Global GPU fleet with low‑latency regional nodes, on‑demand and spot instances (up to 50 % discount) for training, fine‑tuning, and high‑throughput inference.
- SDKs and client libraries for Python, Node.js, and Go, plus comprehensive documentation and sample templates to accelerate integration.
- Built‑in observability dashboard showing request latency, token usage, and cost metrics, with alerts for SLA breaches.
- Enterprise‑grade security: sandbox isolation, encrypted data in transit and at rest, and fine‑grained IAM policies.