Cerebrium
Run machine learning models in the cloud scalably and performantly.
Description:
Cerebrium is a serverless GPU infrastructure for machine learning. It allows developers to run machine learning models in the cloud scalably and performantly, without having to worry about managing infrastructure. Cerebrium provides a variety of features to make it easy to develop and deploy machine learning models, including GPU variety, infrastructure as code, volume storage, secrets integration, hot reloading, and streaming endpoints.
For Tasks:
For Jobs:
Features
- GPU Variety: Select from a variety of GPU types, including H100's, A100's, A5000's, and many more.
- Infrastructure as code: Specify your environments in code and Cerebrium will create it for you.
- Volume Storage: Store files or models weights and mount it directly to your code - No need to manage S3 buckets.
- Secrets Integration: Integrate frameworks and platforms using your secure credentials.
- Hot Reload: Change a line of code and see it live on a GPU container. Iterate at the speed of thought.
- Streaming Endpoints: Stream output back to your users as soon as results are ready - no one likes waiting
Advantages
- Seamless integration and flexibility
- Real-time logging and monitoring
- Scalability
- Easy to get up and running
- Deploy in your own infrastructure (Alpha)
Disadvantages
- Can be expensive
- May not be suitable for all use cases
- Can be complex to set up
Frequently Asked Questions
-
Q:What is Cerebrium?
A:Cerebrium is a serverless GPU infrastructure for machine learning. -
Q:What are the benefits of using Cerebrium?
A:Cerebrium provides a variety of benefits, including scalability, performance, and ease of use. -
Q:How do I get started with Cerebrium?
A:You can get started with Cerebrium by signing up for a free account.
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