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InfraBeam

Beam

On-demand serverless GPU compute for AI, from Python.

Categories
InfraInference
Pricing
FREEMIUM
Source
Proprietary
Hosting
Cloud
Platforms
CLIAPILinux
Models
Model-agnostic
Verified
Jun 8, 2026

A serverless cloud for deploying AI inference endpoints, agent sandboxes, task queues, and containerized GPU workloads with a few lines of Python. It handles fast cold starts, autoscaling, and Docker-in-Docker execution across multiple cloud backends, and supports bring-your-own-compute. The Developer tier is free with recurring monthly credit; paid tiers add team features and scale, billed pay-as-you-go by GPU usage.

Capabilities 4

What it actually does — grouped by capability family.

  • Sandboxed code execution (secondary capability)
  • GPU compute (primary capability)
  • Model inference / serving (primary capability)
  • App / agent deployment (secondary capability)

Pros & cons

  • Define GPU workloads in pure Python
  • Open-source runtime (beta9)
  • Fast cold starts and autoscaling
  • Free dev tier with monthly credit
  • Smaller ecosystem than hyperscalers
  • Python-centric; less polyglot
  • Newer platform, maturing tooling

Tags

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