Startups building AI products face a tough balancing act: ship fast, scale smart, and keep costs down. Traditional cloud providers weren’t built for this. Cerebrium is a serverless AI infrastructure platform that eliminates DevOps overhead, slashes costs, and delivers low-latency performance—so your team can stay focused on shipping, not servers.

Cerebrium as an alternative to platform to Aws, GCP and Azure for building and scaling AI applications

This step-by-step deployment guide shows how to build a production-ready voice API on Cerebrium's serverless cloud platform. Master natural-sounding AI voices with human-like hesitations and intonation that even audio experts can't distinguish from real recordings. Perfect for developers seeking cutting-edge voice technology for applications, assistants, and accessibility solutions.

A cost comparison of the H200 GPU across many alternatives

A cost comparion of the cost of H100s across different providers and different implementations

Deploy DeepSeek’s cutting-edge reasoning models on Cerebrium’s serverless architecture. This tutorial walks you through creating an OpenAI-compatible endpoint using vLLM, unlocking cost-efficient, scalable AI deployment.