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Cerebrium

Overview

Platform Overview: Cerebrium provides a robust infrastructure for deploying various AI workloads, including voice agents and large language models, with sub-second cold starts and automatic scaling. It is built for teams that require high reliability and performance in their AI applications, ensuring low latency from the first request. Core Capabilities: The platform allows users to bring their own code without the need for rewrites or custom SDKs, facilitating quick deployment. Cerebrium supports end-to-end observability, providing real-time insights into logs, metrics, and system performance. Additionally, it adheres to strict security and compliance standards, ensuring data residency and isolation for sensitive workloads, while guaranteeing 99.999% uptime through multi-region failovers...

Features

  • Real-time AI infrastructure
  • Deploy voice agents
  • Deploy video models
  • Deploy LLMs
  • Sub-second cold starts
  • Instant autoscaling
  • Memory snapshotting
  • GPU snapshotting
  • Automatic scale-outs
  • Multi-cloud GPU access
  • Multi-region deployment
  • Run custom code
  • No code rewrites
  • No custom SDKs
  • Versioned application runs
  • Reproducible runs
  • End-to-end observability
  • Real-time logs
  • Real-time metrics
  • Scaling event tracking
  • System performance monitoring
  • OpenTelemetry support

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Pricing

Usage / Metered
Free Tier Trial
Estimated Entry Point
Starts at$0.00min unit rate

Pay-per-second pricing based on actual compute time. Free tier available with Hobby plan, which includes 3 user seats and up to 3 deployed apps.

SaaS configurations scale dynamically based on seats or volume. Use metrics as directional baselines only.

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