Fast GPU deployments with pay-per-use billing
Last reviewed Mar 14, 2026
Packet AI is a GPU cloud platform by hosted.ai offering fast GPU deployments with pay-per-use billing, free unlimited data egress, and OpenAI-compatible APIs for inference.
Hourly on-demand pricing. Click column headers to sort.
Prices last updated: August 27, 2026
Configurations, price rank, and alternatives for one GPU at a time.
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
| Option | Details |
|---|---|
| On-Demand Pricing | Pay per second with no long-term commitments or minimum usage requirements |
| Smart Scheduling | Advanced resource optimization that reduces costs by eliminating idle GPU time |
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
Packet AI offers various GPU types including L40S, B200. Check the pricing table above for current availability and pricing.
Sign up in seconds, Select GPU type, Deploy and connect
Packet AI's main advantages include: Fast deployment under 5 minutes, Free unlimited data egress, OpenAI-compatible API for inference, Browser-based development environments (VS Code, Jupyter), Persistent storage available, Budget control tools, EU data center option for compliance, Competitive pricing with transparent rates, Access to latest NVIDIA Blackwell GPUs.
Packet AI's main limitations include: B200s currently sold out, H200s coming soon, Newer provider with less established track record, Limited data center locations compared to major clouds, Smaller scale compared to established hyperscalers.
Find the best prices for the same GPUs and models from other providers