
Google is optimizing its TPU AI accelerators for different workloads, separating training and inference tasks. Its chief technologist for AI infrastructure, Amin Vahdat, said at SEMICON Taiwan 2026 that the CPU is the next focus for potential custom chip development.
Summaries like this, in your inbox every morning.
Pick your industry and the AI tools you use, and get news related to your work every day.
Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.
Schneider Electric, Nvidia and HPE formed a strategic collaboration to launch Industrial AI Agents at the Edge…

Anthropic released Claude Duet, built on Claude Opus 5.5

Inception launched Mercury 3 on October 19, a diffusion model it says generates 1,068 output tokens per second…

Anthropic reported that an internal version of Claude generated 318,484 candidates over a 64-hour run and sele…

NTT Data and NTT Data Tokai will start a joint proof-of-concept with Aichi Bank on October 26, testing a conve…

WD measured that an 8-second AI video (a 3.97MB 720p file for the user) generated more than 500MB of back-end…
