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Cerebrium

Serverless GPU infrastructure for real-time AI with sub-second cold starts and instant autoscaling

Paid·Technical·API available
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Key strengths

Sub-second cold starts via GPU & memory snapshottingElastic autoscaling across 2500+ GPUs and multiple regionsNo code rewrites — run any Dockerfile or entry point as-isSOC 2, HIPAA, GDPR, ISO compliance with gVisor isolationNative OpenTelemetry observability with real-time metrics and logs
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Cerebrium provides a serverless GPU cloud that runs containers via custom Dockerfiles or plain entry-point scripts with zero code modifications. Cold starts are minimized to 2–4 seconds through proprietary GPU and memory snapshotting technology, outperforming managed Kubernetes solutions (EKS/GKE) that can take 60–156 seconds. The platform supports 12+ GPU types (including H100 Hopper), multi-region deployments across us-east-1, eu-west-2, eu-north-1, and ap-south-1, and exposes REST, streaming, and WebSocket endpoints. It integrates natively with OpenTelemetry for observability and supports frameworks like vLLM, SGLang, TensorRT-LLM, Pipecat, LiveKit, and Triton Inference Server.