About
What is Cerebrium?
Cerebrium is a serverless AI infrastructure platform designed for teams requiring reliability at scale. It allows for the deployment of various AI workloads, including voice agents, video models, and Large Language Models (LLMs), with sub-second cold starts and instant autoscaling. The platform supports bringing your own code, eliminating the need for rewrites or custom SDKs, and offers elastic GPU scaling with instant access to thousands of GPUs across multiple clouds and regions. Key features include end-to-end observability with real-time logs and metrics, robust security with SOC 2, HIPAA, GDPR, and ISO compliance, and multi-region failovers for 99.999% uptime. Cerebrium charges based on actual compute time, offering transparent, usage-based pricing.
Best used for
Ideal for developers who need to deploy voice agents, video models, and LLMs with sub-second cold starts, instant autoscaling, and elastic GPU scaling. Especially valuable for teams requiring reliability at scale and precise, usage-based pricing without infrastructure management overhead.
Common actions
serverless infrastructurecost managementtestobservabilityautoscalingtensorrtrealtime loggingdeployinferencinghigh reliability+ 5 more
Capabilities
Key features
- Sub-second cold starts
- Instant autoscaling
- Elastic GPU scaling
- End-to-end observability
- Bring your own code
- Multi-region deployments
- Real-time AI infrastructure
Integrations
githubdiscordlinkedintwitter
Pricing & Plans
Freemium · Usage-based · Enterprise
Not publicly disclosed. Check cerebrium.ai for current pricing.
FAQs
What is the pricing model for Cerebrium?
Cerebrium offers a freemium model with usage-based pricing, charging for actual compute time measured in seconds. There are Hobby (free), Standard ($100/month + compute), and Enterprise (custom) plans, with costs varying by GPU type, memory, and storage usage.
Does Cerebrium offer a free plan?
Yes, Cerebrium has a Hobby plan that is free for developers getting started. It includes up to 3 user seats, 3 deployed apps, 500 containers, and 5 concurrent GPUs, plus compute costs.
Can I use my existing cloud credits (AWS, GCP) with Cerebrium?
No, Cerebrium's pricing is separate from AWS and GCP. Their cloud credits cannot be applied to usage on the Cerebrium platform, as it integrates across multiple cloud providers globally.
What kind of AI workloads can I deploy with Cerebrium?
Cerebrium supports deploying a wide range of AI workloads, including voice agents, video models, Large Language Models (LLMs), and any custom AI application. It's built for real-time performance and scalability.
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