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Compare GPU and LLM inference API pricing between Atlas Cloud and Packet AI. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Atlas Cloud Price | Packet AI Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Packet AI | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Packet AI | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • Atlas Cloud | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Atlas Cloud | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Packet AI | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • Packet AI | Not Available | — | ||
RTX 6000 Pro 96GB VRAM • | ||||
A100 SXM 80GB VRAM • Packet AI | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Packet AI | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • Atlas Cloud | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Atlas Cloud | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Packet AI | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • Packet AI | Not Available | — | ||
RTX 6000 Pro 96GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Unified access to models from DeepSeek, Qwen, ByteDance, Black Forest Labs, Luma, MoonshotAI, 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
Direct SSH access to GPU instances with full root control and native performance
VS Code and Jupyter environments accessible directly in the browser
Drop-in replacement for OpenAI APIs with automatic model discovery and streaming support
Deploy GPU instances in under 5 minutes without procurement cycles or contracts
Advanced scheduling technology that optimizes GPU utilization and reduces costs
Access to 300+ AI models through unified API
Deploy custom models and development environments
Transparent pricing with volume discounts available for API usage
Flexible pricing for serverless GPU deployments and development pods
Pay per second with no long-term commitments or minimum usage requirements
Advanced resource optimization that reduces costs by eliminating idle GPU time
Sign up for an account at console.atlascloud.ai
Generate API keys for authentication
Start using 300+ AI models through the unified API
Quick account creation with no credit card required to start
Choose from available NVIDIA GPUs including RTX Pro 6000, H200s, and B200s
Instance ready in under 5 minutes with SSH access or web dashboard
Optimized inference infrastructure with global coverage
Comprehensive API documentation, SDK support, FAQ, and contact support