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Ray core scale generic python code with simple, foundational primitives that enable a high degree of control for building distributed applications or custom platforms. 通过本文的介绍，了解了 Python Ray 库的原理、功能和用法。 Ray 是一个高性能、易用的分布式应用框架，专为解决 Python 中的并行和分布式计算问题而设计。 Ray则是一种通用的集群计算框架，既支持模型的训练，又支持对环境的仿真或与环境的交互，还支持模型服务。 Ray所面临的任务涵盖了从轻量级、无状态的计算任务（例如仿真）到长时间运行的、有状态的计算任务（例如训练）。
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With ray, you can seamlessly scale the same code from a laptop to a cluster Try it for free today. 如今机器学习需要分布式计算，Ray是流行的分布式Python框架，可与PyTorch搭配扩展机器学习应用。 文章介绍了Ray生态系统，包括核心系统和library生态（如RaySGD、Ray Tune等），阐述了各部分优点及使用方法，还提及Ray在多领域的应用。
本篇主要是介绍了 Ray 的基本概念和架构，以及如何搭建 Ray Cluster，最后通过一个简单的任务和 vLLM 示例来展示 Ray 的多机推理大模型使用。
The story of the life and career of the legendary rhythm and blues musician ray charles, from his humble beginnings in the south, where he went blind at age seven, to his meteoric rise to stardom during the 1950s and 1960s. Ray 是一个强大的分布式计算框架，它让 Python 开发者能够轻松地将单机代码扩展到分布式环境。 本篇概要：通过示例讲解 Ray 的这三个核心概念；介绍 Ray 的常用操作；分享个人使用遇到过的问题和踩坑点，以及最佳… Ray is an open source framework for managing, executing, and optimizing compute needs Unify ai workloads with ray by anyscale
