Beam vs Massed Compute

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

Assurance of fully-supported, high-performance NVIDIA GPU solutions

Independent attestation of security, availability, and confidentiality controls

Hourly VMs or single-tenant servers—no long-term contracts

REST API to list, provision, manage, and retire GPU instances programmatically

Redundant power, cooling, and network for >99.98 % uptime

Launch pre-configured AI/ML or VFX desktops in a browser—no CLI needed