Cerebrium
Serverless AI infrastructure platform offering GPUs with low cold starts for high-performance workloads.
Updated April 2026
Overview
- Website
- cerebrium.ai
- Segment
- Serverless Inference
Product overview
Cerebrium provides serverless GPU and CPU compute for deploying real-time AI applications like voice agents, video models, LLMs, multimodal inference, and large-scale batch jobs, with features including sub-second cold starts, auto-scaling, multi-region deployments, and 12+ GPU types across clouds.. Used by teams at Tavus, Deepgram, Vapi, DistilLabs, and others for production-scale AI. Distinct for reimagined infrastructure eliminating server management, GPU snapshotting for fast launches, pay-per-use billing, and strong security (SOC 2, HIPAA).
Revenue model
Usage-based pay-per-second: e.g., A10 GPU $0.000306/s (~$1.10/hr), H100 $0.000614/s (~$2.21/hr), memory $0.00000222/GB/s, storage $0.05/GB/mo; plans Hobby ($0/mo + compute), Standard ($100/mo + compute), Enterprise (custom).
Moat
- Proprietary Technology
- Scale Advantages
- Cost Advantages
Cerebrium's key competitive moat is its proprietary serverless GPU infrastructure optimized for real-time, multimodal AI workloads like voice agents and video models, delivering low-latency performance, elastic scaling, and cost efficiency that outperforms generic cloud providers.