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
5000
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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Executive AI assistant using Langchain & Langsmith
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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
Run ComfyUI applications at scale
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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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05
Deploy in your own infrastructure (Alpha)

Meet your stringent data requirements

Have peace of mind and deploy on infrastructure you will never outgrow
Use your own AWS/GCP credits on Cerebrium
For startups and scale ups with cloud credits - you can use them with Cerebrium in order to offset those expensive GPU costs. Help us, help you.
Deploy on your own infrastructure
For companies with stringent data privacy requirements and a stubborn legal department. Deploy within your own infrastructure and have full control.
Get in touch