Cerebrium

Cerebrium provides serverless infrastructure specifically designed for AI and machine learning workloads. It allows developers to deploy, scale, and manage AI models without worrying about the underlying infrastructure complexity. The platform handles everything from GPU provisioning to automatic scaling, letting teams focus on building their AI applications rather than managing servers.

What makes Cerebrium stand out is its focus on performance and developer experience. With support for over 12 different GPU types including high-end options like A100 and H100, developers can choose the right hardware for their specific use case. The platform offers fast cold starts (under 2 seconds on average), WebSocket endpoints for real-time interactions, streaming endpoints for token-by-token output, and built-in batching to optimize GPU utilization. It also includes distributed storage for model weights and comprehensive observability tools.

This platform is particularly valuable for AI startups and enterprise teams building production AI applications. Case studies show companies using Cerebrium for digital avatars, generative AI, and language model deployments. The serverless approach means teams only pay for what they use while getting enterprise-grade reliability with 99.999% uptime and multi-region deployment capabilities for global applications.