Cerebrium
Serverless AI infrastructure platform for building, deploying, and scaling AI applications with cost savings.
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Cerebrium is a serverless AI infrastructure platform that simplifies the process of building, deploying, and scaling AI applications. It offers a variety of GPUs, large-scale batch job execution, and real-time voice application capabilities. Cerebrium aims to provide a cost-effective alternative to AWS and GCP, with customers experiencing over 40% cost savings. It focuses on optimizing the pipeline for fast cold starts and ensures system reliability with 99.999% uptime, SOC 2 & HIPAA compliance, and comprehensive observability tools.
Users can deploy AI applications by uploading code (e.g., main.py), and Cerebrium handles the build and deployment process. The platform provides a command-line interface (CLI) for deploying applications and offers features like real-time logging and cost tracking.
Choosing this platform is smart if you want a serverless AI infrastructure that’s cost-effective and reliable. It’s built for scaling AI apps with ease, offers great uptime, and helps you save big on cloud costs without sacrificing performance.
For developers getting started. Includes 3 user seats, up to 3 deployed apps, 5 Concurrent GPUs, Slack & intercom support, and 1 day log retention.
For developers with ML apps in production. Includes Everything in Hobby plan, 10 user seats, 10 deployed apps, 30 Concurrent GPUs, and 30 day log retention.
For teams looking to scale ML apps. Includes Everything in Standard plan, Unlimited deployed apps, Unlimited Concurrent GPUs, Dedicated Slack support, and Unlimited log retention.
