Beam vs Vast.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

Prices set by supply and demand across the platform with no list prices or hidden fees

GPU Cloud for full control, Serverless for zero-ops inference, Clusters for large-scale training

CLI, Python SDK, and REST API for programmatic GPU provisioning

Scale from $5 to 20,000 GPUs across 40+ data centers without contracts or minimums