Beam vs GPU Outlet

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

Users can access GPU resources as needed without long-term commitments.

Scalable infrastructure to meet varying workload demands.

Compatible with popular machine learning and data processing frameworks.

Provides an intuitive dashboard for resource management.

Infrastructure located in multiple regions for improved latency.