Cerebrium.ai: Scalable, Serverless AI Infrastructure for Real-Time Applications

Cerebrium.ai is a powerful serverless platform designed to simplify the deployment and scaling of real-time AI applications, including large language models (LLMs), AI agents, and vision models. With zero DevOps overhead and per-second billing, it enables developers and teams to configure and launch AI workloads in seconds—without complex syntax or external infrastructure. Built for performance and reliability, Cerebrium offers fast cold starts (under 2 seconds), automatic scaling from zero to thousands of containers, and multi-region deployments to ensure low latency and compliance. It supports over 12 GPU types, including high-end options like A100, H100, and H200, and provides flexible API endpoints (WebSocket, streaming, REST) for seamless real-time interactions. Advanced features include batching to optimize GPU usage, concurrency handling for massive request volumes, asynchronous job support for training and background tasks, and distributed storage for model weights and logs—eliminating setup complexity. With full observability via OpenTelemetry integration, robust security through secrets management, and compliance with SOC 2 and HIPAA, Cerebrium.ai delivers enterprise-grade performance. Developers can also bring their own runtime using custom Dockerfiles, and leverage CI/CD pipelines with gradual rollouts for zero-downtime updates. Whether you're building a chatbot, real-time analytics engine, or AI-powered service, Cerebrium.ai removes infrastructure friction and accelerates time-to-market.

Key Features:

• Serverless infrastructure for real-time AI applications
• Global deployment of LLMs, agents, and vision models with low latency
• Zero DevOps setup and configuration in seconds
• Per-second billing with pay-per-use pricing
• Fast cold starts (average 2 seconds or less)
• Multi-region deployments for performance and compliance
• Automatic scaling from zero to thousands of containers
• Batching to reduce GPU idle time and boost throughput
• High concurrency support for thousands of simultaneous requests
• Asynchronous job processing for background workloads like training
• Built-in distributed storage for model weights, logs, and artifacts
• OpenTelemetry integration for unified metrics, traces, and logs
• Support for 12+ GPU types including T4, A10, A100 (80GB/40GB), H100, H200, Trainium, and Inferentia
• WebSocket, streaming, and REST API endpoints for real-time interactions
• Bring-your-own runtime with custom Dockerfiles or runtimes
• CI/CD pipelines and gradual rollouts for zero-downtime updates
• Secrets management for secure handling of API keys via dashboard
• 99.999% uptime guarantee
• SOC 2 and HIPAA compliance
• $30 free credit with no credit card required
• Up to $1,000 free credits and engineering support for AI startups and companies

Pricing: Cerebrium.ai offers a freemium model with $30 in free credit upon sign-up—no credit card needed—and additional up to $1,000 in free credits plus engineering support for qualifying companies exploring AI. The platform operates on a pay-per-use, per-second billing system, making it cost-efficient for variable workloads.

Conclusion: Cerebrium.ai is a next-generation serverless AI platform that empowers developers and teams to deploy, scale, and manage real-time AI applications effortlessly—offering unmatched speed, flexibility, and reliability for modern AI innovation.