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Our eighth generation TPUs: two chips for the agentic era

blog.google

11–20 of 240 posts

Re: Our eighth generation TPUs: two chips for the agentic era

#11
At this point, when you are doing big AI you basically have to buy it from NVidia or rent it from Google. And Google can design their chips and engine and systems in a whole-datacenter context, centralizing some aspects that are impossible for chip vendors to centralize, so I suspect that when things get really big, Google's systems will always be more cost-efficient.

(disclosure: I am long GOOG, for this and a few other reasons)

Re: Our eighth generation TPUs: two chips for the agentic era

#12

I am curious what workloads Citadel Securities is running on these TPUs? Are you telling me they need the latest TPUs for market insights?

Training their own, closed, internal models on their own data sets? Probably a good way to squeeze out some market trading signals.

Re: Our eighth generation TPUs: two chips for the agentic era

#13
post #11

At this point, when you are doing big AI you basically have to buy it from NVidia or rent it from Google. And Google can design their chips and engine and systems in a whole-datacenter context, centralizing some aspects that are impossible for chip vendors to centralize, so I suspect that when things get really big, Google's systems will always be more cost-efficient. (disclosure: I am long GOOG, for this and a few o…

I'd bet that too if their management wasn't so incredibly uninspiring. Like, Apple under Cook was also pretty mild and a huge step down from Jobs, but Google feels like it fell off a cliff. If it wasn't for OpenAI releasing ChatGPT, they might still be sitting on that tech while only testing it internally. Now it drives their entire chip R&D.

Re: Our eighth generation TPUs: two chips for the agentic era

#15
post #4

As others have been capturing news cycle eyes, seems to me Google has been going from strength to strength quietly in the background capturing consumer market share and without much (any?) infrastructure problems considering they're so vertically integrated in AI since day one? At one point they even seemed like a lost cause, but they're like a tide.. just growing all around.

Yeah I think there will be a time in a few years (1-2?) when both Google and Apple will get to eat their cake. They aren't playing the same game of speed running unpolished product releases every month to double their valuation. They have time to think and observe and put out something really polished. At least that's the hope! :)

Re: Our eighth generation TPUs: two chips for the agentic era

#18
post #4

As others have been capturing news cycle eyes, seems to me Google has been going from strength to strength quietly in the background capturing consumer market share and without much (any?) infrastructure problems considering they're so vertically integrated in AI since day one? At one point they even seemed like a lost cause, but they're like a tide.. just growing all around.

Their latest open models are pretty competitive with other open models, and some innovation around the smaller sizes (2-4 GB).

They're helping close to the distance to realistic quality inference on phones and other smaller devices.

Re: Our eighth generation TPUs: two chips for the agentic era

#20
post #16

The pics of the cooling system is pretty good sci-fi / cyberpunk / steampunk inspo. If the whole AI bubble spectularly collapes, at least we got a lot of cool pics of custom hardware!

> If the whole AI bubble spectularly collapes

Every other news for the past month has been about lacking capacity. Everyone is having scaling issues with more demand than they can cover. Anthropic has been struggling for a few months, especially visible when EU tz is still up and US east coast comes online. Everything grinds to a halt. MS has been pausing new subscriptions for gh Copilot, also because a lack of capacity. And yet people are still on bubble this, collapse that? I don't get it. Is it becoming a meme? Are people seriously seeing something I don't? For the past 3 years models have kept on improving, capabilities have gone from toy to actually working, and there's no sign of stopping. It's weird.

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