Why do you assume Broadcom has a ton of IP for AI SoCs but hasn't done any of the other work around data center scale deployments?

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aurareturn 6 hours ago | parent [-]

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...

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threecheese 6 hours ago | parent | next [-]

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.

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surajrmal 3 hours ago | parent | prev [-]

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.

	▲	luma an hour ago \| parent [-]
		I 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.