Cerebrium

🤖 Managed Inference

Developers deploying generative AI, TTS, or voice agents who need instant serverless scaling and sub-second cold starts.

🏢 London, UK📅 Since 2021★ 9.3/10🌐 Website ↗
Avg Latency
<50ms (Serverless Cold Starts optimized to <1s)
Rate Limits
Dynamic
Free Tier
✓ Available
API Protocol
Custom SDK / Client

Serverless AI Without the Wait

Cerebrium has engineered one of the most advanced serverless GPU platforms on the market, specifically targeting the “cold start” problem that plagues serverless AI. Traditional platforms can take minutes to load massive model weights into VRAM, but Cerebrium utilizes advanced memory-mapping techniques to achieve sub-second cold starts. This allows developers to deploy massive LLMs or vision models cost-effectively, paying only for the exact milliseconds of compute used.

Bring Your Own Model (BYOM)

Instead of restricting developers to a curated list of models, Cerebrium operates as a deployment infrastructure. Data scientists can package custom PyTorch, TensorFlow, or ONNX models and deploy them as scalable API endpoints with a few lines of Python code. This makes it an ideal platform for startups building proprietary, heavily fine-tuned models that cannot be hosted on standard OpenAI-compatible APIs.

Enterprise Integrations

Cerebrium is built for production engineering teams. It offers native integrations with enterprise data lakes and vector databases, allowing seamless data pipelines. With SOC 2 compliance and the ability to deploy within secure VPCs, it provides the agility of serverless compute while maintaining strict corporate data governance.

Supported Workloads

LLMVisionAudioCustom Python

Pros & Cons

Pros
  • Sub-second cold starts for serverless GPUs
  • Incredible developer experience via Python SDK
  • Direct integration with enterprise data lakes
Cons
  • Not a simple pay-per-token API
  • Requires deploying custom code

Served Models

BYOM, Llama 3, SDXL, Whisper

Data Privacy Policy

SOC 2 Compliant, private VPC available

Custom SDK / Client

Custom Integration. This provider requires their own specific SDKs or libraries to interact with the models. See official documentation.

Quick Start Snippet
Python
import requests
headers = {
 'Authorization': 'Bearer YOUR_API_KEY',
 'Content-Type': 'application/json'
}
data = {
 'model': 'your-chosen-model',
 'prompt': 'Hello, world!'
}
response = requests.post('https://cerebrium.ai/v1/completions', headers=headers, json=data)
WebsiteVisit Official Site ↗
Billing Model
Per-second billing

You are charged exclusively for the duration the GPU is actively processing your request. Excellent for bursty workloads.

Generous Free Tier Available

Start building without a credit card. Perfect for prototyping and testing the API before scaling into production workloads.

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Cerebrium
🤖 Managed Inference
✓ Free tier available
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Start for Free (No CC)
Scale to 0 (No idle costs)

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