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Beam vs Cerebrium

A side-by-side comparison of Beam and Cerebrium, two Infra tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Beam

Infra

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

View Beam

Cerebrium

Infra

Serverless GPU infrastructure for real-time AI — voice, video, and LLM workloads.

View Cerebrium

At a glance

Feature comparison of Beam and Cerebrium
AttributeBeamCerebrium
CategoryInfraInfra
Pricing (differs)FREEMIUMPAID
LicenseProprietaryProprietary
DeploymentCloudCloud
Platforms (differs)CLI, API, LinuxAPI, CLI
Model supportModel-agnosticModel-agnostic
Vendor (differs)BeamCerebrium

The honest brief

Beam

Deploy GPU endpoints, sandboxes, and queues from a few lines of Python — open-core runtime (beta9) you can self-host.

  • 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

Cerebrium

Tuned for real-time voice and video agents, where its fast cold starts and multi-region failover beat general-purpose GPU clouds.

  • 2–4s cold starts, scale-to-zero
  • 12+ GPU types up to B200
  • Multi-region deploys + failover
  • SOC 2, HIPAA, GDPR compliant
  • $100/mo base on the Standard tier
  • Hobby tier capped at 3 apps, 5 GPUs
  • Younger platform, smaller community
Beam detailsCerebrium detailsAll Infra apps