Atlas Cloud vs Spheron

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

Access GPU capacity from multiple cloud providers and certified data centers from one account, without separate signups per provider

Instances are billed by the minute with no minimum rental period or rounding up to the hour

Instances are typically ready in under two minutes with no approval workflow or provisioning queue

Compute spend across every connected provider is tracked in a single dashboard

Each VM or bare metal instance includes NVMe SSD storage, network bandwidth, a dedicated IP address and full root access

Spheron sources large clusters, specific hardware and InfiniBand configurations from its partner data center network, with a typical quote turnaround of 24-48 hours