Atlas Cloud
Atlas Cloud is a full-modal inference platform that gives developers one API for 300+ generative models spanning video, image, language, audio, and 3D. You sign up, grab an API key, and route requests to models from OpenAI, Google, ByteDance, xAI, DeepSeek, and dozens of other providers without juggling separate vendor accounts. It is built for teams shipping production media and language features who want a single integration point instead of a patchwork of endpoints.
The platform centers on OpenAI-compatible endpoints, so existing SDKs work after you change the base URL and key. Atlas Cloud also runs its own Photon inference engine with FP4 quantization and hardware-tuned orchestration for high-throughput LLM serving. New models land on Day 0, including recent video lines like Seedance 2.0 and Kling 3.0, so you are not stuck waiting on provider waitlists.
Creators get a browser console for image and video workflows, while developers get REST APIs, a CLI, and native MCP server support for agent tools in Cursor and Claude Desktop. Enterprise customers can add private hosting, custom fine-tunes, dedicated GPU clusters, and SOC I/II plus HIPAA-compliant deployments when compliance matters.
300+ curated models across video, image, LLM, audio, and 3D in one account
OpenAI-compatible chat endpoints as a drop-in SDK swap
Day-0 access when new SOTA models release, no waitlist
Streaming, batching, and structured outputs on the same API surface
CLI plus MCP server hooks for Cursor, Claude Desktop, and VS Code
Atlas Photon engine with FP4 quantization for low-latency LLM inference
One API key covers 300+ models across text, image, video, audio, and 3D instead of many vendor integrations.
OpenAI-compatible endpoints reduce migration friction for teams already on the OpenAI SDK.
Pay-as-you-go billing with no monthly minimums keeps early prototyping costs predictable.
Day-0 model releases and a published model catalog make it easier to test new SOTA models quickly.
Enterprise options include SOC I/II, HIPAA compliance, and private cloud hosting.
Per-model usage pricing can be hard to forecast without monitoring spend across many modalities.
The deepest enterprise features such as private hosting and custom training require a sales conversation.
Heavy reliance on third-party model providers means availability follows upstream model changes.
Is Atlas Cloud compatible with the OpenAI API?
Yes. Atlas Cloud exposes OpenAI-compatible endpoints, so Atlas Cloud works as a drop-in replacement if you change the base URL and API key. Existing OpenAI SDK code can call Atlas Cloud models without rewriting request shapes.
How do I get started with Atlas Cloud?
Atlas Cloud lets you sign up for a free account, create an API key in the console, and follow the quickstart docs. The site states most developers make their first API call within about five minutes, and no credit card is required to start.
How does Atlas Cloud pricing work?
Atlas Cloud uses pay-as-you-go pricing with no monthly minimums or seat fees on the public API. You pay per second of video, per image, or per token depending on the model, with per-model rates listed on the Atlas Cloud pricing page.
What AI models does Atlas Cloud support?
Atlas Cloud supports 300+ models across modalities, including video APIs such as Seedance, Kling, Wan, and Veo, image APIs such as Flux and GPT Image, and LLM APIs such as DeepSeek, Qwen, GLM, and MiniMax. Atlas Cloud adds new models on Day 0 when providers release them.
Does Atlas Cloud support streaming and batch processing?
Yes. Atlas Cloud supports streaming responses for real-time LLM output, batch inference for high-volume async jobs, and structured outputs without separate configuration. The same API key covers both low-latency chat and large batch pipelines.
Is Atlas Cloud enterprise-ready?
Atlas Cloud holds SOC I and SOC II certifications and HIPAA compliance, with encryption in transit and at rest. Atlas Cloud also offers private cloud deployment, dedicated GPU clusters, custom model hosting, and contact-sales enterprise plans for regulated workloads.

