
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
Alternatives
Pricing
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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