在人工智能时代，高性能的机器学习有着非常重要的意义。而 Spark 的机器学习，受限于 Driver 的 BroadCast 性能和 RDD 的 Immutable 特性，在面对高维度和复杂的机器学习算法时，会受到诸多的束缚和约束，难以写出高性能而简洁的代码。为此，基于 Angel（腾讯开源的参数服务器框架）的 Spark on Angel，让 Spark 可以高效的基于 PS 模型，开发出高效而简洁的机器学习算法，加快业务发展。
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