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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Non-fungible tokens have gained the hearts of people around the world, and they have given digital creators the recognition they deserve. One of the remarkable things about non-fungible tokens is that you can take a screenshot of one, but you don’t own it. This is because when a non-fungible token is created, then the transaction is stored on the blockchain, and the license or contract to hold such a token is awarded to the person owning the token in their digital wallet.
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