beam-cloud/beta9

Health v2 · maintenance only

Adoption not part of the score

1755 stars · 159 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Beam (beta9) is an open-source serverless runtime for AI workloads, providing GPU inference endpoints, isolated sandboxes for running untrusted/LLM-generated code, and background task queues with sub-second cold starts. It offers a Pythonic SDK, a hosted cloud with on-demand GPUs, and the option to bring your own cloud (AWS, GCP, bare metal).

Use cases

• deploy a serverless GPU inference endpoint for my model
• run LLM-generated code in isolated sandboxes
• run background jobs and task queues on GPUs
• autoscale ML inference with scale-to-zero
• self-host a serverless GPU platform
• run vLLM on an H100 without managing infrastructure
• fan out workloads across hundreds of containers
• run scheduled cron jobs for ML pipelines

When to choose

• you want serverless GPU inference with sub-second cold starts
• you need secure sandboxes for executing untrusted or agent-generated code
• you want to deploy AI apps from Python code without writing YAML or Dockerfiles
• you need scale-to-zero billing for bursty ML workloads
• you want to run workloads across your own cloud accounts plus a managed cloud

When to avoid

• you need a fully self-contained on-prem platform with no cloud dependency
• your workloads are long-running always-on services better suited to plain containers or Kubernetes
• you require a permissive license since Beam is AGPL-3.0
• you only need simple CPU-only function hosting without GPU support

Facets

service · maturity active

llm-inference serverless deployment container-orchestration gpu-computing machine-learning sdk cli scheduling workflow-automation cloud-computing machine-learning large-language-models developer-tools infrastructure-as-code gpu-computing self-hosted python go cloud self-hosted cli serverless-gpu faas sandboxes cold-start autoscaling byoc task-queues scale-to-zero agpl docker

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markdown · JSON · MCP: product_card(name="beam-cloud/beta9")