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DATASHEET // BEAM

Beam

Serverless GPU functions — deploy a Python file, get an HTTPS endpoint.

PAIDCLOUD · NO GPUCloud API
Watermark-FreeHobbyist-OKAPI
Visit BeamUPDATED 2026-04-22 · DIRECT LINK
www.beam.cloud/
Beam — preview image
[ EDITORIAL PICK ]

Why we recommend Beam

DERIVED FROM METADATA — NOT SPONSORED
  • No GPU needed

    Runs in the cloud — works the same on a Chromebook as on a workstation.

  • Watermark-free

    Output is clean — you can ship it without scrubbing logos out.

  • Beginner-friendly

    You don't need to read a paper before getting your first result — sensible defaults and a quick install.

[ EVIDENCE NOTE ]

Documentation-led datasheet

This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.

AT-A-GLANCE SIGNALS //

DERIVED FROM THIS PAGE'S DATA
  • Install difficulty
    Click & use

    Runs in the cloud — no local install needed.

  • Hardware comfort
    N/A — cloud

    Runs on the provider’s hardware — your GPU is irrelevant.

  • Ecosystem
    API-first

    Exposes a stable API — you can build on top of it programmatically.

  • Verification
    Recent

    Catalogue entry last updated 85 days ago — re-verification due soon.

[ MORE IN THIS NICHE ]

Other orchestration & apis tools we rate

Three picks across different tradeoffs — so you don't end up with three near-clones of Beam.

What is Beam?

Beam treats GPU functions the way Vercel treats web functions: write Python, run `beam deploy`, get an HTTPS endpoint with autoscaling. Targeted at the long tail between Replicate (run someone else's model) and Modal (do everything in code).

Pros & cons

✓ PROS

  • 'Deploy a Python file' DX is genuinely good
  • Scales to zero — no idle cost
  • Good for personal projects on a budget

– CONS

  • Smaller catalogue of pre-built environments than Modal
  • Less control over GPU type than RunPod / Modal

What's actually free?

Free monthly credits; pay-per-second beyond.

Watermark-Free

Alternatives

Modal

Serverless Python for GPU workloads.

FREEMIUM16–80 GB VRAM
VRAM fit16–80 GB

RunPod

On-demand GPU pods for ComfyUI, vLLM, training.

PAID8–80 GB VRAM
VRAM fit8–80 GB