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🔧 Cerebrium

Cerebrium

The Serverless GPU Cloud for AI

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Overview

Cerebrium is a cloud platform that provides serverless GPU infrastructure for deploying and scaling machine learning models. It is designed to be easy to use, allowing developers to deploy their models with a single command. Cerebrium offers features like autoscaling, pay-per-second billing, and support for a wide range of ML frameworks.

✨ Key Features

  • Serverless GPU deployment
  • Single-command deployment
  • Autoscaling from zero
  • Pay-per-second billing
  • Support for popular ML frameworks
  • Custom Docker image support
  • Low cold-start times

🎯 Key Differentiators

  • Extremely simple deployment process
  • Fast cold-start times
  • Focus on serverless GPU inference

Unique Value: The easiest way to deploy and scale machine learning models on serverless GPUs, with a focus on simplicity and developer experience.

🎯 Use Cases (4)

Machine learning model inference Serving real-time AI applications Deploying generative AI models Scaling AI-powered APIs

✅ Best For

  • Natural language processing
  • Computer vision
  • Speech recognition

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Large-scale, distributed model training

🏆 Alternatives

Replicate RunPod Banana.dev

Offers one of the simplest and fastest deployment experiences for serverless GPU inference, making it ideal for developers who want to get their models into production quickly.

💻 Platforms

Web API CLI

🔌 Integrations

Python Docker TensorFlow PyTorch Scikit-learn

🛟 Support Options

  • ✓ Email Support
  • ✓ Live Chat
  • ✓ Dedicated Support (Enterprise tier)

🔒 Compliance & Security

✓ GDPR ✓ SSO

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: Free credits for new users.

Visit Cerebrium Website →

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