Cerebrium

Cerebrium is a real-time AI infrastructure platform designed to help teams deploy, scale, and manage AI workloads such as voice agents, video models, LLMs, and generative AI applications with low-latency performance. They provide instant autoscaling, sub-second cold starts, and elastic GPU infrastructure that allows developers to run AI workloads globally without managing complex backend infrastructure manually. The platform supports LLM serving, voice AI, video generation, training workloads, and custom AI applications using existing codebases or Docker containers without requiring major rewrites. Cerebrium focuses on simplifying production AI deployment while maintaining fast startup times, scalable GPU access, and real-time responsiveness for high-demand AI applications.

They also provide advanced capabilities such as GPU snapshotting, multi-region deployments, WebSocket endpoints, streaming APIs, distributed storage, OpenTelemetry integration, and CI/CD rollouts for enterprise AI workflows. Cerebrium supports access to 12+ GPU types, including large-scale GPU clusters across multiple cloud providers and regions, while offering real-time observability, traffic scaling, concurrency management, and asynchronous job execution. Their infrastructure includes SOC 2, HIPAA, GDPR, and ISO compliance, along with gVisor-based workload isolation, 99.999% uptime, and regional data residency support for secure and compliant AI deployment. The platform is built for teams developing production-grade AI systems that require reliable scaling, low latency, and infrastructure flexibility across global deployments.

And the best part? They offer a free trial/get started option, along with serverless GPU infrastructure, instant autoscaling, and production-ready AI deployment tools for scaling AI workloads globally.