Cerebrium
Deploy and scale AI workloads on serverless GPUs with Cerebrium's sub-second cold starts
Cerebrium is a serverless GPU platform designed to deploy and scale AI workloads without managing infrastructure. It solves the complexity of provisioning, orchestrating, and scaling GPU compute for real-time applications like voice agents, video models, and large language models, eliminating cold starts and capacity planning.
The platform supports a range of AI workloads through REST and WebSocket endpoints, asynchronous jobs, and streaming. It offers sub-second cold starts via memory and GPU snapshotting, automatic scaling across 12+ GPU types, and multi-region deployment across multiple clouds. Features include custom Dockerfiles, CI/CD rollouts, secrets management, and native OpenTelemetry integration for observability. It also provides distributed storage and concurrency and batching capabilities.
Cerebrium is aimed at development teams building production AI applications. It offers a free Hobby plan with 3 user seats, up to 3 deployed apps, and limited GPU concurrency. The Standard plan is $100 per month plus compute, with unlimited apps and seats, 30 GPU concurrency, and custom domains. Enterprise plans include volume discounts, unlimited concurrent GPUs, and dedicated support. All plans are usage-based, charging per second of compute time.
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