Beam
Features of Beam
Use Cases of Beam
FAQ about Beam
QWhat does Beam provide?
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.
QWho is Beam for?
AI engineers, ML teams, and product builders who need to execute untrusted or LLM-produced code at scale without ops overhead.
QIs Beam free?
New accounts receive a monthly free-credit tier; beyond that, pay-as-you-go pricing applies—check the site for current rates.
QWhich languages are supported?
Python works out of the box; supply any Docker image to add Node, Go, Rust, C++, Java, or custom runtimes.
QHow is security handled?
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.
QWhat are snapshots?
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.
QCan I attach GPUs?
Yes—toggle GPU on any sandbox; A100s and T4s scale from zero to required count in seconds.
QHow do I start?
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.
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