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Novita AI

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Novita AI is an AI infrastructure platform for running model APIs and GPU workloads on one system. It supports builders and agents with serverless inference, dedicated endpoints, GPU instances, and an agent sandbox.

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AI cloud for models and GPU compute

Novita AI is an AI infrastructure platform for builders and agents. It combines model APIs, agent runtimes, GPU instances, serverless GPUs, and bare metal clusters so teams can run models and scale compute from one platform.

The public site highlights more than 200 model APIs, OpenAI-compatible developer routes, and deployment options that range from token-billed serverless inference to dedicated endpoints and managed GPU resources. It is positioned for teams that need to build AI applications, deploy models, or run agent workflows without assembling the infrastructure themselves.

Core capabilities

Serverless model APIs

Run 200+ models through a single API for text, image, audio, video, and vision workloads, with serverless execution and no infrastructure to manage.

Dedicated endpoints

Use private endpoints with isolated resources for consistent latency and throughput when you want dedicated production capacity.

Agent sandbox

Run secure, isolated environments for coding agents that need to execute tasks, call models, and use tools without configuring your own runtime.

GPU instances

Provision full-control GPU machines for inference, training, and other workloads that need dedicated compute you control directly.

Serverless GPUs

Submit jobs to automatically allocated GPU resources that scale up under load and back to zero when the job finishes.

Bare metal clusters

Use bare-metal GPU clusters when you need physical hardware with zero abstraction overhead for large-scale inference or training runs.

Common ways to use Novita AI

  • Add AI features to an application

    Call serverless model APIs when you want to ship text, image, audio, video, or vision features without provisioning your own inference stack.

  • Run production inference on isolated endpoints

    Use dedicated endpoints when you need isolated compute and more consistent latency for production workloads that cannot tolerate noisy neighbors.

  • Operate autonomous or semi-autonomous agents

    Use the agent sandbox to execute coding-agent tasks in a secure runtime that can run tests, apply patches, and call models during a workflow.

  • Deploy dedicated GPU workloads

    Provision GPU instances or bare metal clusters for training runs, large-scale inference, or workloads that need full control over hardware.

  • Run bursty batch jobs efficiently

    Choose serverless GPUs for jobs that arrive in bursts and should scale up automatically without paying for idle compute between runs.

Pros and Cons

Pros

  • Combines model APIs, agent sandboxing, and GPU infrastructure in one platform.
  • Supports a large public catalog with 200+ models and multiple model families.
  • Provides several compute modes, from serverless APIs to dedicated endpoints, GPU instances, serverless GPUs, and bare metal.
  • Documents OpenAI-compatible bases and compatibility with common developer libraries.
  • Shows pricing-oriented pages with model-by-model rates and separate product sections.

Cons

  • The pricing and model pages show broad catalogs, but the evidence is stronger on availability than on every operational detail such as limits, quotas, or regional coverage.
  • The site does not clearly document all integrations and SDKs on the public pages provided, so some implementation details may require checking the docs directly.

FAQ

What is Novita AI?

Novita AI provides serverless model APIs, dedicated endpoints, GPU instances, and an agent sandbox on a single platform. The site also points developers to OpenAI-compatible bases and documentation routes for different API workflows.

Which Novita AI offering should I use?

The source shows serverless model APIs, dedicated endpoints, agent sandbox, GPU instances, serverless GPUs, and bare metal options. The exact best fit depends on whether you need simple API access, isolated production endpoints, or dedicated compute.

How is Novita AI priced?

The site says its model APIs are billed by the token, while serverless GPUs are billed for execution and dedicated resources are presented as isolated or full-control compute options. Pricing details vary by product and model.

Does Novita AI support common developer tools?

The documentation skill file says Novita works with curl, Python requests, fetch, OpenAI-compatible SDKs, LangChain, LlamaIndex, OpenAI Agents SDK, and clients that accept a custom OpenAI-compatible base URL.

Quick Facts

Category
AI cloud / GPU cloud
Primary users
Builders, developers, and agents
Source domain
novita.ai
Developer compatibility
OpenAI-compatible base URL and common SDKs
Pricing shape
Token-based model APIs and separate GPU resource pricing
Product scope
Model APIs, agent sandbox, GPU instances, serverless GPUs, bare metal