Cerebrium — Serverless AI Model Deployment

Cerebrium is a serverless infrastructure platform for deploying and scaling machine learning models for tech startups.

Cerebrium is a serverless AI infrastructure platform that enables teams to deploy and scale machine learning models into production environments without managing servers. It is built for business owners and engineering teams who need to integrate custom AI models into their products quickly while maintaining low latency. By providing a scalable backend, Cerebrium handles the complexities of GPU provisioning, versioning, and cold starts automatically. The platform allows users to deploy models from popular frameworks like PyTorch and Hugging Face with a single command. Business owners can use the built-in monitoring tools to track model performance and costs in real-time, ensuring that AI features remain reliable as the user base grows. On surfai.app, we highlight this tool for its ability to reduce the time spent on DevOps tasks, allowing startups to focus on their core product features instead of infrastructure maintenance. Cerebrium supports complex workflows such as fine-tuning large language models and running real-time inference for image generation or natural language processing. The infrastructure is designed to scale horizontally, meaning it can handle sudden spikes in traffic without manual intervention. You can get started with a generous free credit allotment to test your models before moving to a usage-based billing plan.

• Pricing: freemium

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