Who is Cerebrium?
Cerebrium is a cloud software platform for deploying and running AI and machine learning workloads as serverless inference and training services.
- Serverless infrastructure for AI workloads
- Deployment of machine learning models and generative AI applications
- Support for GPU-backed compute and autoscaling execution
- APIs and workflows for inference, fine-tuning, and batch processing
- Cloud-based runtime for production AI applications and agent systems
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More About Cerebrium
Cerebrium positions its platform for teams that need to run AI applications in production without managing underlying infrastructure. The offering centers on serverless compute for model deployment, inference, training, and related workloads, with GPU-backed execution used where workloads require accelerated processing. This places Cerebrium in the AI infrastructure and model serving category, where enterprises use cloud platforms to host application logic, machine learning models, and agent workflows through managed services.
The platform is associated with deployment patterns used in modern AI systems, including APIs for serving models and workflows that can handle online requests and offline processing. Its focus on serverless execution and autoscaling maps to environments where capacity changes with demand and where operations teams want managed infrastructure instead of manually provisioned servers. In directory terms, Cerebrium fits under AI infrastructure, model serving, machine learning operations, and cloud compute for AI workloads.
For enterprise and institutional users, this type of platform is used to package AI services into deployable components that can be integrated into applications, internal tools, and automation systems. Cerebrium’s solution area is centered on managed runtime and execution for AI workloads rather than data preparation, business intelligence, or end-user collaboration software.
Our description of Cerebrium. Updated August 2026.