AI Infrastructure & MLOps Paid

Cerebrium

Serverless GPU infrastructure for deploying and scaling AI applications

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PricingPaid
Starting price$0.00000655/vCPU/s
Free planNo
Free trialYes
APIYes
Open sourceNo
DeploymentCloud
Last verifiedAugust 3, 2026
Overview

Tool overview

Cerebrium is listed under AI Infrastructure & MLOps AI tools.

Summary

What is Cerebrium?

Cerebrium deploys Python applications and models on serverless CPU and GPU infrastructure. Developers can expose models as APIs, run background tasks, configure hardware, and scale workloads without maintaining clusters.

Best fit

Best for

Developers and AI teams building production systems

Audience

Who is it for?

AI engineersML engineersSoftware developersPlatform teams
Recommendation

Decision note

Accepted for Preview after independent V411 official-source verification. Apply only after failures = 0, warnings = 0, unmapped = 0, Arabic v2 parity is valid, the logo result is reviewed, and all controlled fields, explicit clears, outreach evidence, affiliate evidence, rebrand status, and source notes are visually confirmed.

Capabilities

Key features

Serverless CPU and GPU deployments for production AI applications

Python-first application configuration for production AI applications

Autoscaling endpoints and background tasks for production AI applications

Per-second compute billing for production AI applications

Observability and deployment controls for production AI applications

Workflows

Use cases

Deploying model inference in production workflows

Running GPU workloads in production workflows

Scaling AI services in production workflows

Executing batch jobs in production workflows

Managing production compute in production workflows

Strengths

Pros

  • Clear official documentation for practical implementation
  • Practical API or deployment workflow for technical teams
  • Focused AI infrastructure use case for developers
Considerations

Limitations

Usage-based costs can change materially with model choice, token volume, hardware, concurrency, and traffic patterns. Test real workloads before committing capacity.

Cost

Pricing details

Pricing modelPaid
Starting price$0.00000655/vCPU/s
Free planNo
Free trialYes
Pricing context

Billing options

Per-second computeMonthly platform feeCustom enterprise
Pricing context

Pricing note

Cerebrium charges compute per second. CPU starts at $0.00000655 per vCPU-second and T4 GPU at $0.000164 per second. Hobby has no monthly platform fee but compute remains billable; Standard adds a $100 monthly platform fee plus compute. Starter credits are not classified as an ongoing free plan or trial.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

Deepgram

Rime

Specs

Technical details

PlatformsWeb, API
Multilingual supportUnknown
Login requiredYes
Open sourceNo
DeploymentCloud
CompanyCerebrium Inc.
Editions / plansHobby Standard Enterprise
Data confidenceHigh
Last verifiedAugust 3, 2026
Documentation → Data source →
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Answers

Frequently asked questions

Cerebrium deploys Python applications and models on serverless CPU and GPU infrastructure. Developers can expose models as APIs, run background tasks, configure hardware, and scale workloads without maintaining clusters.
Developers and AI teams building production systems
The listed pricing model for Cerebrium is Paid. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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