Beam vs Hyperbolic

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

Scale up or down capacity as needed with multi-tenant GPU clusters that deploy in under a minute

Access latest state-of-the-art AI models in one click with OpenAI-compatible API

Secure guaranteed capacity for long-term workloads at discounted prices

Host high-throughput inference with unlimited requests and hourly pricing

Skip setup and launch GPU workloads instantly with ready-to-use images for PyTorch, TensorFlow, and CUDA