新闻
Run Ray on TPU, Part 1: The foundations- Google Developers Blog
Google Developers · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Ray 2.55 now treats Google Cloud TPUs as first-class accelerators with official APIs, letting Python developers scale distributed workloads on TPU slices via Google Kubernetes Engine.
- 为何重要
- Matters for engineers already using Ray with GPUs who want to run the same code on TPUs, or those building distributed AI workloads needing TPU compute.
- 注意
- TPU chips must stay on one intact slice via dedicated interconnect; the slice_placement_group API is marked alpha, so its surface may change between releases.
还有谁报道了
- Run Ray on TPU, Part 2: Ray AI libraries- Google Developers BlogGoogle Developers
同一件事，来自我们关注的其他媒体。
这条新闻背后的模式
每个模式都讲清楚技术如何运作、何时值得投入，以及在哪里会失效。
The Agent Architect
每周一个模式、一个权衡、一个生产事故案例。为构建智能体系统的人准备的每周简报。
每周一封邮件,一键退订。您的地址仅用于发送简报。