They have. That's why OpenAI was able to get a working demo in 9 months. But going from a small scale system to a full fledged data center deployment is likely much harder.

I don't know how much of the things outside of the chip Broadcom has vs Google's proprietary tech that is not shared with Broadcom.

Nvidia's Vera Rubin has 6 unique chips working together in a single rack.[0]

[0]https://developer-blogs.nvidia.com/wp-content/uploads/2026/0...

I’m just happy to see diversity here; sometimes I feel like Nvidia is going to eat the world, with buying other fabs and branching out - or up, I guess - from chips and racks to models, frameworks, and end user stuff.

I thought most of the Google tpu magic is on wiring up these chips into supercomputer like clusters with specialized interconnects and whatnot. The chips themselves are less interesting in isolation.