Atlas Cloud vs Runcrate

Unified access to models from DeepSeek, Qwen, ByteDance, Black Forest Labs, Luma, MoonshotAI, MiniMax, and more

Drop-in replacement for OpenAI SDK - just change the base URL and API key

Text, image, video, and audio generation through consistent API patterns

Use Atlas Cloud AI models directly in Cursor, Claude Desktop, VS Code, and more

Deploy custom models with Serverless GPU or rent DevPods for development

Run chat, model discovery, and image or video generation from the terminal

Token-billed API calls and GPU hours draw on one credit balance with a single invoice, auto-recharge, and credits that do not expire

Chat, image, video, text-to-speech, speech-to-text and embedding models served behind OpenAI-compatible REST endpoints, so existing clients switch by changing the base URL

Bare-metal instances with SSH, Docker and custom images, provisioned in about 60 seconds

An unauthenticated endpoint publishes the live GPU rate card, refreshed every few minutes

Reserved bare-metal from 16 to 128+ nodes with NVLink fabric and managed Slurm job submission

Python and TypeScript SDKs, a Vercel AI SDK provider, a CLI for instance and volume management, and an MCP server for controlling the platform from AI assistants