beam-cloud

    beam-cloud/beta9

    Ultrafast serverless GPU inference, sandboxes, and background jobs

    ai
    graphics
    llm
    self-hosted
    cloud
    autoscaler
    cloudrun
    cuda
    developer-productivity
    distributed-computing
    Go
    AGPL-3.0
    1.8K stars
    176 forks
    1.8K GitHub watchers
    Updated Oct 28, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

    Explore Backblaze Labs

    Loading star history...

    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest 2 days ago, with 19 contributors on GitHub.

    Gained 24% more stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Provides a fast, open-source runtime for serverless AI workloads with GPU support and autoscaling capabilities.
    • Enables rapid deployment and scaling of AI applications with zero infrastructure overhead and sub-second container startup times.
    • Use for deploying scalable, serverless inference endpoints for custom machine learning models with GPU acceleration.
    • Use for running isolated sandboxes to execute LLM-generated code securely and efficiently in containers.
    • Use for scheduling resilient background tasks or replacing traditional task queues with simple Python decorators.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    AGPL 3.0

    Network copyleft: like the GPL, and also triggered by offering the software over a network.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    • AGPL-style copyleft also applies when the software is offered over a network.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Beam is a fast, open-source runtime for serverless AI workloads. It gives you a Pythonic interface to deploy and scale AI applications with zero infrastructure overhead.

    Excerpt from the beam-cloud/beta9 README on GitHub (AGPL-3.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    176+21

    Open issues

    40+22

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

    beam-cloud/beta9 compared with AI repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    thedotmack/claude-mem113.6K+8.8K35today
    D4Vinci/Scrapling98.1K+6.9K651 day ago
    Leonxlnx/taste-skill110.7K+5.2K551 day ago
    calesthio/OpenMontage77.2K+4.2K40—
    heygen-com/hyperframes79.6K+4.1K45today
    beam-cloud/beta91.8K—622 days ago
    Category median98.1K+5.2K45—

    Discover Repositories

    Search across tracked repositories by name or description