Beam vs Runpod

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

Access to a wide range of GPU types with enterprise-grade security

Only pay for the compute time you actually use

Programmatically manage your GPU instances via REST API

Pods typically ready in 20-30 s

SSH & VS Code tunnels built-in

Automatic migration on pre-empt