Cerebrium
Serverless GPU infrastructure for real-time AI with sub-second cold starts and instant autoscaling
Paid·Technical·API available
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
Paid only
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- LLM inference serving: Deploy open-source LLMs (e.g., Qwen, GPT-OSS) via vLLM or SGLang with high-throughput REST or streaming endpoints
- Real-time voice agent pipelines: Build sub-500ms latency voice agents using Pipecat or LiveKit, integrated with Twilio for inbound/outbound calling
- Image & video model inference: Serve Stable Diffusion XL, video generation models, and VLMs (Visual Language Models) at scale with autoscaling
- Model training & hyperparameter sweeps: Run distributed training jobs on multi-GPU H100 clusters with WandB integration for experiment tracking
- Embedding & reranking APIs: Host high-throughput, low-latency REST servers for text embeddings and reranking models
- Custom container inference: Wrap any model in a Dockerfile and deploy it with CI/CD pipelines, gradual rollouts, and secrets management