AI Infrastructure For Developers • Beam

Run sandboxes, inference, and training with ultrafast boot times, instant autoscaling, and a developer experience that just works.

Cost

Free Tier

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Beam to deploy and run AI applications with automatic GPU scaling that starts in sub-seconds. It handles model inference, training, sandboxed code execution, and containerized workloads. You get pay-per-millisecond billing, checkpoint snapshots, and can switch between different hardware types instantly. The service includes secure execution environments for AI agents, task queues for processing large datasets, and storage volumes for distributed file management.

What AI Infrastructure For Developers • Beam does

Deploy machine learning models to production endpointsExecute user-generated code in secure containersScale GPU workloads automatically based on demandCreate snapshots of running application stateProcess batch jobs across multiple worker containersMonitor application logs and performance metricsImport and run existing Docker containersSchedule recurring AI training jobsSub-second cold start times for containersCheckpoint and restore running containers with memory statePay per millisecond of actual compute usageSwitch between GPU types with one line of codeSnapshot complete sandbox states including filesystemScale from zero to thousands of containers instantlySecure execution environments for untrusted codeImport Docker images from any registry

Pricing breakdown

PlanPrice10 seats / yr

Developer$0—

Team$89.00 / mo$10,680

Annual estimates assume continuous billing at the listed list price. Volume discounts typical above 50 seats.

Tutorials & Demos

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