Cerebrium

Serverless GPU infrastructure for deploying real-time AI workloads like voice agents, video models, and LLMs, solving cold starts and Kubernetes complexity. It targets software developers and engineering teams who need low-latency AI inference without managing servers. The platform is positioned as a fully managed solution with sub-second cold starts, instant autoscaling, pay-per-second pricing, and multi-cloud/region support, eliminating capacity planning and reservations.

Key features

• Sub-second cold starts with GPU snapshotting
• Elastic GPU autoscaling on demand
• Run arbitrary code without rewrites
• Built-in observability with OpenTelemetry
• SOC 2, HIPAA, GDPR compliant
• Multi-region and multi-cloud deployment
• Data residency controls per region
• gVisor container isolation for security
• 99.999% uptime with automatic failover
• Pay-per-second billing with no reservations