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Cerebrium vs Modal

A side-by-side comparison of Cerebrium and Modal, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Cerebrium

Infra

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

View Cerebrium

Modal

Inference

Serverless GPUs. Run training, inference, batch jobs from Python.

View Modal

At a glance

Feature comparison of Cerebrium and Modal
AttributeCerebriumModal
Category (differs)InfraInference
Pricing (differs)PAIDFREEMIUM
LicenseProprietaryProprietary
DeploymentCloudCloud
PlatformsAPI, CLIAPI, CLI
Model supportModel-agnosticModel-agnostic
Vendor (differs)CerebriumModal Labs

The honest brief

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

Modal

Define GPU infra in Python decorators with 2-4s cold starts — no YAML, Dockerfiles, or managed-stack lock-in.

  • Python-decorator infra, no YAML/Dockerfiles
  • Scale-to-zero, pay only when running
  • Scales to hundreds of GPUs
  • Free monthly starter credits
  • SDK lock-in; migrating means rewriting
  • No managed vLLM/TensorRT setup
  • Costs climb under heavy usage
  • Billing hard to predict
Cerebrium detailsModal details