Real-time AI infrastructure that scales with you
Deploy voice agents, video models, LLMs, and any AI workload with sub-second cold starts and instant autoscaling. Built for teams that need reliability at scale.
Production speed without the production complexity
Built for teams,
pushing boundaries
Why Cerebrium
Built for teams,
pushing boundaries
Cerebrium (with snapshots)
3.8s
Cerebrium
42s
Provider A
71s
EKS/GKE
156s
Cerebrium (with snapshots)
3.38s
Cerebrium
8.23s
Provider A
61s
EKS/GKE
91s
Low-latency from the first request.
Launch containers in seconds with memory and GPU snapshotting for fast restores. Cerebrium handles sudden bursts and scale-outs automatically, without compromising performance or user experience.
No reservations, no lock-ins.
Instant access to thousands of GPUs across multiple clouds and regions. Cerebrium scales your workloads in real time - no capacity planning, no reservations, no infrastructure management required.
Bring your own code. We’ll run it.
No rewrites, no decorators, no custom SDKs. Point us to your entry point or Dockerfile and we’ll run your application exactly as is - versioned, reproducible, and ready to scale.
- P50
- P90
- Max
- P50
- P90
- Max
- P50
- P90
End-to-end Observability for every workload.
Get full visibility into every request. Logs, metrics, scaling events, and system performance, all in real time. Native support for OpenTelemetry makes it easy to plug into your existing monitoring stack.
Security
Stable, secure and compliant
-
SOC 2, HIPAA, GDPR, ISO
Built to meet strict security and privacy standards, including giving you a compliant foundation for sensitive and regulated workloads.
-
Data Residency
Deploy workloads in specific regions to meet regulatory or contractual data privacy requirements. Cerebrium ensures your data stays exactly where it needs to be.
-
Isolation
We run each workload on top of gVisor in a hardened, isolated environment to provide strong container isolation without compromising performance.
-
99.999% Uptime
We have multi-region failovers so if one region or cloud goes down, we will route traffic to the next best alternative within your constraints
Built with Cerebrium
500ms Low Latency Voice Agent
Create a voice agent that can respond in 500ms
Twilio voice agent with Pipecat
Learn how to build a voice agent with Pipecat on Cerebrium
Outbound agent with LiveKit
Build a outbound calling agent with Livekit
Transcribe a 1 hour podcast
Learn how to transcribe a 1 hour podcast in < 2 minutes
Serving GPT-OSS with vLLM
Deploy OpenAI’s Latest Open Source Model with vLLM
Deploy a VLM with SGLang
Build an intelligent ad analysis system that evaluates advertisements across multiple dimensions
Deploy Triton Inference server with TensorRT-LLM
Achieve high throughput with Triton Inference Server and the TensorRT-LLM framework
Hyperparameter Sweep training Llama 3.2 with WandB
Run a hyperparameter sweep on Llama 3.2 with WandB
Deploy a Gradio Chat Interface
Using FastAPI, Gradio and Cerebrium to deploy an LLM chat interface
Generate Images using SDXL
Generate high quality images using SDXL with refiner
High Throughput Server for Embeddings and Reranking
A high-throughput, low-latency REST API for serving text-embeddings and reranking models