EBK 学习导读

How TPU Chips Separate Training Workloads from Real-Time Inference Tasks

TPU芯片如何分工处理模型训练与实时推理任务

How TPU Chips Separate Training Workloads from Real-Time Inference Tasks

课文音频

Listen to the full story · 完整逐句/整段音频可在解锁后使用。

您仍可先看下方课文摘要;在阅读器可查看该书试读与权益说明。

课文

从第 4 课起,导读页仅展示部分正文,便于您了解难度与风格。

  1. TPUs, or Tensor Processing Units, are custom-built chips designed by Google for AI workloads.

  2. They split computing duties: training large models offline and running fast inference on live data streams.

Unlock full vocabulary & bilingual guide · 完整课文、逐句音频与全部译文请在解锁学习权益后于阅读器中查看。

Improve faster解锁本课完整体验

词汇与语法扩展

解锁学习权益后,您可在导读页继续浏览全课重点词汇、参考译文与语法提示;听全文、逐句点读与查词建议在阅读器中使用。