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

Why we recommend Beam
- 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.
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 difficultyClick & use
Runs in the cloud — no local install needed.
- Hardware comfortN/A — cloud
Runs on the provider’s hardware — your GPU is irrelevant.
- EcosystemAPI-first
Exposes a stable API — you can build on top of it programmatically.
- VerificationRecent
Catalogue entry last updated 85 days ago — re-verification due soon.
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.


