Cerebrium
Cerebrium is a serverless AI infrastructure platform designed to simplify the deployment and scaling of AI workloads.
Our verdict
Who it's for
Serverless AI infrastructure for deploying, scaling, and operating high-performance AI applications.
Who should look elsewhere
Pricing model is consumption-based, which can be complex to estimate for unpredictable workloads
Pros
- +Significantly reduces infrastructure management overhead for AI applications
- +Provides high performance with fast cold starts and efficient GPU utilization
- +Offers extensive scalability and multi-region deployment capabilities
- +Supports a wide variety of GPU hardware for diverse AI workloads
- +Includes robust security and compliance features like SOC 2 and HIPAA
Cons
- −Pricing model is consumption-based, which can be complex to estimate for unpredictable workloads
- −Requires familiarity with AI model deployment concepts, even with simplified infrastructure
Key features
- ✓Easy configuration and deployment of AI applications
- ✓Fast cold starts (average 2 seconds or less)
- ✓Multi-region deployments for compliance and performance
- ✓Automatic scaling from zero to thousands of containers
- ✓Request batching for improved GPU throughput
- ✓Dynamic concurrency for simultaneous requests
- ✓Asynchronous jobs for background workloads and training tasks
- ✓Distributed storage for model weights, logs, and artifacts
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Hobby | $0 | month | 3 user seats; Up to 3 deployed apps; 5 Concurrent GPUs |
| Standard | $100 | month | Everything in Hobby plan; 10 user seats; 10 deployed apps |
| Enterprise | — | month | Everything in Standard plan; Unlimited deployed apps; Unlimited Concurrent GPUs |