Summary:
- Ray is an open-source distributed computing framework that enables the development and deployment of scalable machine learning and AI applications.
- It provides a unified API for building distributed applications, with support for task parallelism, actor models, and reinforcement learning.
- Ray is designed to be highly scalable, fault-tolerant, and easy to use, making it a popular choice for building large-scale, high-performance distributed systems.