TPU 8i
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Headlines · 3
- 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.
科技新报 · 🔥 4 - Google TPUs to Reach Oracle Cloud as OpenAI Eyes Purchases
Oracle confirmed that it will offer Google TPUs through Oracle Cloud Infrastructure, making it the first cloud vendor outside Google to sell Google’s AI accelerators, according to TechRadar. TPU 8t for training and TPU 8i for inference are planned for OCI availability in 2027. Separately, The Information reported that OpenAI plans to purchase Google TPUs, but final terms are unknown and both OpenAI and Google declined to comment.
The Information · 🔥 0 - Microsoft's Maia 300 goes all-in on inference as hyperscalers rethink AI chips
A commentary republished by Huxiu AI and originally by Piansheng says Microsoft released its in-house Maia 300 chip, which strips out redundant training hardware and targets high-concurrency inference such as long-context chat, low-latency interaction and multi-step agent tasks. It traces the line from Maia 100 in November 2023, described as a combined training/inference design, to Maia 200 in January, which shifted toward inference, and notes Google's TPU 8i and Amazon's Inferentia also focus on inference. The piece cites Microsoft's technical team estimating a 30%–50% drop in per-token inference cost at scale and industry estimates that inference will exceed 70% of compute in 2026, without independent sourcing; the claim that Microsoft has abandoned competing on high-end training chips is the author's interpretation.
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