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About Cerebrium
Cerebrium is a serverless AI infrastructure platform designed to simplify the deployment and scaling of AI workloads. It abstracts away the complexities of cold starts, autoscaling, orchestration, observability, and regional deployment, allowing developers to focus on building AI products without managing servers. The platform supports a wide range of AI applications, from real-time voice bots and multimodal inference pipelines to large-scale batch jobs and fine-tuning models. Cerebrium is built for both startups and enterprises, offering features like fast cold starts, multi-region deployments for compliance and performance, and automatic scaling from zero to thousands of containers. It provides a robust software layer with capabilities such as request batching, dynamic concurrency, asynchronous job processing, and distributed storage for model weights and artifacts. Users can select from over 12 GPU types, including T4, A10, A100, and H100, and deploy code as REST API, WebSocket, or streaming endpoints with built-in auto-scaling and reliability. The platform also supports custom Dockerfiles, CI/CD pipelines, gradual rollouts, and secure secrets management.
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