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Cerebrium

Serverless GPU infrastructure for AI inference and agents

HostingCode ExecutionDeploymentCLI

Cerebrium deploys Python workloads, model inference, and agent services onto autoscaling serverless CPU and GPU infrastructure. Developers package code with its SDK and CLI, expose endpoints, run background jobs, stream responses, and scale custom models or multimodal pipelines without managing clusters.

Best for agent capabilities

Code executionDeploymentWorkflow automation

Useful in agent tasks

Build and deploy software
Write, execute, test, and ship code from an agent workflow.
Operate production agents
Secure, observe, evaluate, and improve agents after they ship.
Communicate with users
Send timely, personalized messages and handle conversations across channels.
Automate business workflows
Connect services and coordinate durable multi-step operational work.

Overview

Websitewww.cerebrium.ai
Authapi key
PricingFree tier available · $0 (free credits)
SDKspython
OpenAPINo
MCP SupportNo

When to use Cerebrium

Cerebrium is listed for Hosting, Code Execution, Deployment workflows. Cerebrium deploys Python workloads, model inference, and agent services onto autoscaling serverless CPU and GPU infrastructure. Developers package code with its SDK and CLI, expose endpoints, run background jobs, stream responses, and scale custom models or multimodal pipelines without managing clusters. Consider it when an agent needs this capability through a documented service boundary instead of custom infrastructure maintained inside the application.

In 4agent's task model, the product maps to code execution, deployment, workflow automation. That makes it a candidate for workflows that build and deploy software, operate production agents, communicate with users, automate business workflows.

Integration checklist

  • Access: confirm the api key authentication flow, credential scope, rotation process, and whether calls can be attributed to a user or service identity.
  • Client support: official or documented clients are listed for python.
  • Automation: OpenAPI is not currently recorded, MCP is not currently recorded, and CLI support is listed as available. Confirm each requirement in the provider's current documentation.
  • Operations: test rate limits, timeouts, retry safety, error payloads, logs, data retention, and the current free-tier and paid pricing model with production-like volume.

Sources and verification

Use these primary sources to verify current behavior before making an implementation or purchasing decision. Product capabilities, limits, and prices can change after a 4agent listing is reviewed.