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Serverless Infrastructure Platform for AI
Cerebrium is a serverless infrastructure platform for AI applications. We make it easier for companies to build and deploy AI based applications. We offer Serverless GPU's with low cold start times, over 12 varieties of GPU chips, allow you to run large scale batch jobs, run realtime voice applications and much more. We are used by the teams at Tavus, CivitAI, Twilio and many more. Customers typically experience 40% in cost savings when compared to using traditional cloud providers and can scale models to more than 10K requests per minute with minimal engineering overhead.
Cerebrium provides a serverless GPU infrastructure platform designed for real-time AI workloads, enabling deployment of voice agents, video models, and LLMs with sub-second cold starts and autoscaling. It emphasizes pay-per-second pricing, global multi-region availability, and zero infrastructure management.
The platform allows users to run AI workloads on serverless GPUs with instant autoscaling and sub-second cold starts. Users point to their code entry point or Dockerfile and Cerebrium runs the application as-is, with versioned, reproducible deployments. It includes global GPU capacity across multiple clouds and regions, with no reservations or lock-ins, and built-in observability, security compliance, and data residency options. Features include WebSocket endpoints, OpenTelemetry integration, private Docker image support, concurrency batching, asynchronous jobs, distributed storage, and multi-region deployments, plus various ready-made use cases and integrations for voice, image, and video workloads.
Website emphasizes pricing model (pay-per-second), global regions, and real-time autoscaling; references to case studies and demos suggest traction but no explicit funding/hiring data provided
Michael is a South African entrepreneur that has founded multiple businesses across ML & A.I, Blockchain, Retail, and consumer marketplaces. Previously he was the CTO of OneCart which sold to Walmart/Massmart for an undisclosed sum. Currently, he is a co-founder at Cerebrium, a machine learning platform that makes it easier for businesses to train, deploy and monitor ML models in production.
Co-founder & CTO of Cerebrium 8+ years experience as a Javascript developer including a lot of time spent in a lead developer role. BComm undergrad and Finance Honours at the University of Cape Town. Data Science at Tilburg University.
A framework that makes it easier to train, deploy and monitor ML models across serverless GPU's
Cerebrium provides a framework to train, deploy, and monitor ML models, including LLMs, to serverless CPUs/GPUs with one line of code and built-in model versioning and scaling; it targets teams needing easier production ML workflows and offers free credits to start.
From the original launch (Mar 2023) — may be outdated.
AI-Native Cloud Platform
Fast, reliable, reproducible AI with GPU live migration
