Cerebrium

Cerebrium is a serverless AI infrastructure platform that enables teams to deploy and scale real-time AI workloads with sub-second cold starts and elastic GPU scaling. It supports large language models, voice agents, image and video models, and any AI workload without requiring code rewrites or custom SDKs. Key features include memory and GPU snapshotting for fast cold starts (2-4 seconds), automatic autoscaling across multiple clouds and regions (us-east-1, eu-west-2, eu-north-1, ap-south-1), bring-your-own-code deployment with Dockerfile support, and end-to-end observability via OpenTelemetry. Cerebrium meets SOC 2, HIPAA, GDPR, and ISO compliance, offers data residency controls, and runs workloads in isolated gVisor containers. It targets teams needing production-grade AI infrastructure for voice, LLMs, video, and other generative AI applications.

Key Benefits

• Sub-second cold starts with memory and GPU snapshotting
• Elastic GPU scaling with no capacity planning or reservations required
• Bring your own code – no rewrites or custom SDKs needed
• End-to-end observability with OpenTelemetry integration