在 AI 场景中，Apache Spark 凭借其强大的批处理能力与 Python 生态兼容性，广泛用于大模型训练前的数据清洗、特征工程与推理任务。而 Ray 因其低延迟、高并发特性，被 OpenAI 等头部机构用于分布式训练与强化学习。两者共同构成 Data + AI 的核心计算底座，支持从数据准备到模型推理的全流程高效执行。
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The library stands on the lip of the precipice gouged out by the landslide, with part of the building in effect hanging in mid-air. The recovery operation, which began on Monday, was preceded by a detailed study of floor plans and interior photographs to map the position of the books.
stack2.pop(); // 弹出无效的候选值。关于这个话题，旺商聊官方下载提供了深入分析