December 6, 2025
When chips spark keyboard wars
Touching the Elephant – TPUs
Google’s monster AI chips spark praise, panic, and bucket rage
TLDR: Google’s 7th‑gen TPU “Ironwood” shows how custom AI chips can scale power beyond regular graphics cards. Commenters split between admiration for long-term engineering, a fiery debate about China copying the tech, and gripes that Google Cloud still makes TPUs annoying to use
Google’s custom AI chips—called Tensor Processing Units (TPUs)—just hit their seventh generation, “Ironwood,” and yes, the numbers sound like comic-book superpowers: thousands of chips working together, gobbling megawatts, and cranking out mind-melting speed. The community is vibing hard. One camp is swooning over the article’s clear, grounded explanation, with Simplita cheering that it finally “connects the concepts in a way that clicks,” while Zigurd reminds everyone the real flex is seven generations of design and polish. Translation: this isn’t a lucky shot; it’s a decade-long grind.
Key Points
- •Google developed TPUs as domain-specific accelerators, initially running exclusively in its datacenters.
- •In 2013, to meet growing AI demand, Google created the first TPU within 15 months instead of doubling datacenter capacity.
- •Sundar Pichai announced the seventh-generation TPU, Ironwood, in April at Google Cloud Next.
- •Ironwood’s pod-level specs are 9,216 chips, 42.5 exaflops of compute, and 10 MW power consumption.
- •TPU development is framed against the slowdown of Moore’s Law and Dennard Scaling, emphasizing co-design across the stack.