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