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.
replyI 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.
replyI 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.
replyI know nothing of what is happening here but Broadcom has a lot of IP in high speed/low latency data transfer from chip to datacenter scales.
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