Anyscale is a unified compute platform that simplifies the development, deployment, and management of scalable AI and Python applications using Ray.The key features of Anyscale include Anyscale Endpoints, Anyscale Private Endpoints, Anyscale Platform, and Ray Open Source. Anyscale Endpoints provide a way to create scalable, serverless APIs for your AI and Python applications. Anyscale Private Endpoints offer secure networking for distributed computing. The Anyscale Platform allows for easy collaboration and management of resources, while Ray Open Source provides a powerful distributed computing framework for Python.Some common use cases for Anyscale include LLM Infrastructure, which can benefit from the scalability and efficiency of the platform. Generative AI can also leverage the distributed computing capabilities of Anyscale to generate complex and realistic outputs. Computer Vision applications can benefit from the platform's ability to process large amounts of data in parallel.If you're interested in getting started with Anyscale, you can learn how to serve and fine-tune Open Source LLMs using Anyscale Endpoints. This tutorial will guide you through the process of setting up your AI applications on the Anyscale platform and taking advantage of its scalability and efficiency.