Beam vs Packet AI

Only charged when your code runs, no charges for cold starts or server spin-up

Memory snapshots and GPU checkpoint restore bring containers back in seconds, which Beam reports as up to 35x faster than a traditional cold boot

Run untrusted code safely in isolated environments for AI agents and code interpreters

Pause and resume sessions while maintaining filesystem, memory, and running processes

Scale to zero when idle, burst to thousands of containers in seconds

Bring your own Docker images for full environment control, including running the Docker daemon inside containers

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