Beam gives you Sandboxes—cloud environments that boot in <1 s, auto-scale, and can be snapshotted—purpose-built for running AI-generated code securely.
AI engineers, ML teams, and product builders who need to execute untrusted or LLM-produced code at scale without ops overhead.
New accounts receive a monthly free-credit tier; beyond that, pay-as-you-go pricing applies—check the site for current rates.
Python works out of the box; supply any Docker image to add Node, Go, Rust, C++, Java, or custom runtimes.
Every workload runs inside an isolated sandbox with no network egress by default; resources are ephemeral and fully recycled after use—see docs for full compliance details.
Snapshots capture the entire disk and RAM state of a sandbox so you can clone, share, or resume the exact environment later—perfect for reproducible experiments.
Yes—toggle GPU on any sandbox; A100s and T4s scale from zero to required count in seconds.
Sign up, create a project, and launch your first sandbox via the dashboard, CLI, or REST API—tutorials and a 5-minute quick-start are provided.
Hyperbeam is an API platform that enables developers to embed virtual computing environments into their own websites or applications, with real-time multi-user collaboration, suitable for remote teamwork, online education, and various other scenarios.
Pipedream AI is a low-code integration and automation platform that helps developers quickly build and deploy automated workflows and AI agents, connecting thousands of apps and services, dramatically lowering the barrier to entry for development.
