Google Targets Six-Month TPU Deployment Cycle
Google Cloud AI infrastructure supply-chain and manufacturing operations vice president Rehan Sheikh said at Foxconn Technology Day that Taiwan remains a core hub for Google’s custom chips and systems innovation. The company’s TPU 8t and TPU 8i are designed for training and inference respectively, while Google is moving toward releasing two inference and training chips per year. Sheikh also said Google aims to reduce the chip-to-service deployment cycle from 12–18 months or more to about six months.
The deployment target and two-chips-per-year cadence provide concrete details about Google’s AI infrastructure roadmap, although the demand, backlog and six-month timeline were presented by Google without independent verification.
Google Cloud AI 基礎建設供應鏈與製造營運副總裁謝赫今天指出，台灣的供應鏈樞紐將持續是 Google 客製化晶片的核心重鎮；面對 AI 需求呈指數型成長，Google 希望從晶片可供使用到正式提供運算服務的時程能縮短至約6個月，盼攜手供應鏈在共同設計、全球產能擴大等四大領域展開合作。
Google Cloud AI基礎建設供應鏈與製造營運副總裁謝赫（Rehan Sheikh）今天在鴻海科技日以「共同擴展下一個時代的AI基礎設施」為主題發表專題演講。