Serverless GPU
infrastructure for AI

Run machine learning models in the cloud scalably and performantly.
Only pay for what you use
Start a project
Documentation
$10 free credit - no credit card required
Powering the most demanding workloads
3.4s
cold starts
500
Reqs per/s
99.99%
Uptime
SOC 2
Compliant
01
· Developer Experience

Seamless integration and flexibility

Cerebrium was built by engineers for engineers. We know how much you value flexibility and iteration
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GPU Variety
Select H100's, A100's, A5000's and many more. We have over 8 GPU types
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Infrastructure as code
Don't worry about infrastructure. Specify your environments in code and we will create it
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Volume Storage
Store files or models weights and mount it directly to your code - No need to manage S3 buckets.
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Secrets
Integrate frameworks and platforms using your secure credentials.
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Hot Reload
Change a line of code and see it live on a GPU container. Iterate at the speed of thought.
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Streaming Endpoints
Stream output back to your users as soon as results are ready - no one likes waiting
02
· Observability

Real-time logging and monitoring

Alerts, logs, utilisation, performance profiling and much more down to the request level
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Realtime Logs
Get real-time logs across your builds and requests in order to debug issues quickly!
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Cost breakdowns
See your cost breakdown per model per minute and even separate across GPU, CPU and memory.
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Alerts
Get alerts when your models enter a bad state or if you receive to many 5xx's
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Resource Utilization
See how your model is using up the resource you specified and how it performs over time.
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Performance profiling
See how each request performs in terms of cold starts, runtime, and total response time.
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Status codes
Set custom status codes for your users and see how your model performs over time.
03
· Scalability

Scale without a sweat

Whether you are on Fortune 500 or its your launch day - we got you
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Neglible Latency added
Cerebrium adds < 60ms of latency to each request you make
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Redundancy
Our architecture is distributed across 3 regions in order to prevent any downtime.
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Minimal Failure rates
We have a 99.99% uptime and < 0.01% failure on requests.
04
Get Started

Easy to get up and running

Work through our many examples or try out our community contributed models
Deploy SDXL to generate images
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Guide
Langchain Q&A on a video
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Deploy Mistral 7B using vLLM
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Stream output from Falcon 7B
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Guide
Transcribe a 1 hour Podcast
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Guide
Generate Logo using ControlNet
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Llama 2 13B
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Mistral 7B
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Whisper V3
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SDXL
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Yi 7B 200k
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Segmind 1B
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Meta Seamless
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GPT4ALL
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ControlNet
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