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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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白宫定于3月4日召集全球AI与科技巨头签署“费率支付者保护承诺”，强制要求企业自建电厂、自购绿电，不得将AI高耗能成本转嫁给普通民众。这一事件不仅重塑美国AI产业成本结构，更深刻影响中美两国AI竞争、电力能源格局与从业人员未来。本文从科技专家视角，全面解析其产业冲击与长期趋势。
Transparently, the initial triage was frustrating; the report was dismissed as "Intended Behavior”. But after providing concrete evidence from Google's own infrastructure, the GCP VDP team took the issue seriously.