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Atlas Cloud

AI API aggregation platform with unified access to 400+ models

Atlas Cloud is under the market median on 2 of its 2 GPUs today.

Atlas Cloud is an AI API aggregation platform that provides unified access to 400+ AI models through a single API. From large language models and image generation to video creation, Atlas Cloud connects you to leading AI models with one API key and endpoint. Also offers GPU cloud services for custom model deployment.

At a glance · prices collected Oct 27, 2026

What's good about Atlas Cloud

  • Unified API for 400+ AI models from multiple providers
  • OpenAI-compatible interface for easy migration
  • Multi-modal capabilities (text, image, video, audio)
  • Developer-friendly with comprehensive documentation
  • MCP server integration for IDE usage

Atlas Cloud GPU prices

2 GPU models across 2 configurations. Rank compares Atlas Cloud's cheapest on-demand listing for each GPU with every provider's cheapest.

Atlas Cloud's cheapest on-demand price per GPU against the market median
GPUAtlas Cloud-60%median+100%Rankvs. medianReport
H100 SXM

1×

$2.95/hr#22 of 56 providers-8%
H200

1×

$3.50/hr#6 of 44 providers-23%

All configurations

Prices last updated October 27, 2026

H100 SXM
$2.95/hr
1×
H200
$3.50/hr
1×

What a run costs on Atlas Cloud

24 hours at today's cheapest listing for each GPU, at the size it is listed.

  • 1× H100 SXM for 24 hours

    At $2.95/GPU-hr

    $70.80

    $6.29 under the market median rate

  • 1× H200 for 24 hours

    At $3.50/GPU-hr

    $84.00

    $24.48 under the market median rate

The market median is every provider's cheapest on-demand price for that GPU.

Billing & terms

Pay-as-you-go
Transparent pricing with volume discounts available for API usage
GPU Cloud Pricing
Flexible pricing for serverless GPU deployments and development pods
Regions
Managed inference infrastructure; specific regions are not published
Support
Comprehensive API documentation, SDK support, FAQ, and contact support

Watch out for

  • Relatively new platform compared to established providers
  • GPU cloud offering is secondary to API aggregation service
  • Limited GPU infrastructure details compared to dedicated GPU clouds

Features

400+ AI Models
Unified access to models from DeepSeek, Qwen, ByteDance, Black Forest Labs, Luma, MoonshotAI, MiniMax, and more
OpenAI-Compatible API
Drop-in replacement for OpenAI SDK - just change the base URL and API key
Multi-Modal Support
Text, image, video, and audio generation through consistent API patterns
MCP Integration
Use Atlas Cloud AI models directly in Cursor, Claude Desktop, VS Code, and more
GPU Cloud Services
Deploy custom models with Serverless GPU or rent DevPods for development
CLI
Run chat, model discovery, and image or video generation from the terminal
Webhooks
Automatic notifications when asynchronous image and video generation tasks complete

Services

  • Model APIs

    Access to 400+ AI models through unified API

  • GPU Cloud

    Deploy custom models and development environments

Getting started

  1. Step 1

    Create an account

    Sign up for an account at console.atlascloud.ai

  2. Step 2

    Get your API key

    Generate API keys for authentication

  3. Step 3

    Make your first API call

    Start using 400+ AI models through the unified API

Where this page's facts come from

GPU prices
  • Atlas Cloud (atlascloud.ai) · last collected Oct 27, 2026
Profile
Reviewed May 8, 2026
Method
How we collect and check prices

Frequently Asked Questions

What GPU types does Atlas Cloud offer?

Atlas Cloud offers various GPU types including H100 SXM, H200. Check the pricing table above for current availability and pricing.

How do I get started with Atlas Cloud?

Create an account, Get your API key, Make your first API call

What are Atlas Cloud's main advantages?

Atlas Cloud's main advantages include: Unified API for 400+ AI models from multiple providers, OpenAI-compatible interface for easy migration, Multi-modal capabilities (text, image, video, audio), Developer-friendly with comprehensive documentation, MCP server integration for IDE usage.

What are Atlas Cloud's limitations?

Atlas Cloud's main limitations include: Relatively new platform compared to established providers, GPU cloud offering is secondary to API aggregation service, Limited GPU infrastructure details compared to dedicated GPU clouds.

Compare Providers

Find the best prices for the same GPUs and models from other providers

AceCloud logo

AceCloud

2 shared GPUs with Atlas Cloud

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Akash Network logo

Akash Network

2 shared GPUs with Atlas Cloud

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Amazon AWS logo

Amazon AWS

2 shared GPUs with Atlas Cloud

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