Novita AI

Categories: Coding & Developer Tools, Automation / Agents, Data Analysis | Pricing: Pricing unavailable | Official Website ↗

Novita AI provides an AI-native cloud platform for developers to run models, scale GPUs, and build AI agents using serverless APIs.

Novita AI offers an AI-native cloud platform designed for developers and agents. It enables users to run over 200 AI models through a single API, eliminating the need for infrastructure management. The platform supports various modalities including text, image, audio, and video, all delivered via serverless, production-ready endpoints. Beyond model APIs, Novita AI also provides an Agent Sandbox for building AI agents and GPU Cloud resources for scaling operations. Pricing is token-based for model APIs, not hourly, offering flexibility for different usage patterns. The platform emphasizes low latency (200ms) and high uptime (99.5%). It features a wide selection of LLMs and other models from providers like Deepseek, MiniMax, GLM, Kimi, and Qwen, with transparent pricing per million tokens for both input and output. Batch inference is also available with an introductory discount.

Key Features

200+ AI models via single API
Serverless model APIs (text, image, audio, video)
Agent Sandbox for building AI agents
GPU Cloud for scaling
Token-based billing
Low latency (200ms)
High uptime (99.5%)
Batch inference with discount

Pros

Access to over 200 AI models through one API
Eliminates infrastructure management for model deployment
Flexible token-based billing for model APIs
Supports multiple AI modalities (text, image, audio, video)
Provides tools for building and deploying AI agents

Cons

Pricing is complex due to per-model, per-token rates
No clear free plan or trial mentioned
Requires technical knowledge for API integration and agent development
Specific GPU pricing details are not immediately visible on the pricing page
Limited information on integrations with other platforms

Use Cases

Integrating LLMs into applications
Developing custom AI agents
Deploying image generation or analysis models
Scaling AI inference workloads
Building multi-modal AI solutions

Best For

AI developers
Machine learning engineers
Startups building AI-powered applications
Researchers requiring access to various AI models
Companies needing scalable GPU resources

Platforms: Web

Watch demo on YouTube ↗

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