Ray.io
Scale Machine Learning & AI Computing | Ray by Anyscale
Ray by Anyscale is an open-source platform that helps you manage and scale AI and machine learning workloads across distributed computing resources.
Scale AI workloads across any infrastructure
Ray by Anyscale is an open-source platform designed to help you manage, execute, and optimize machine learning and AI workloads at scale. With Ray, you can orchestrate distributed computing resources on any infrastructure, making it easier to unify and scale your AI projects, whether you're working with a small team or building enterprise-level solutions.
The platform offers a range of tools for different AI needs, including data processing, model training, hyperparameter tuning, and serving. Ray is built to be flexible and efficient, supporting a variety of accelerators and hardware setups, so you can focus on your AI development without getting bogged down by infrastructure challenges.
Whether you're experimenting with new models or deploying production workloads, Ray provides the building blocks and documentation to get started quickly. It's a great fit for data scientists, ML engineers, and organizations looking for a streamlined way to scale their AI initiatives.
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