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Google is winning on every AI front

(www.thealgorithmicbridge.com)
993 points vinhnx | 1 comments | | HN request time: 0.264s | source
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thunderbird120 ◴[] No.43661807[source]
This article doesn't mention TPUs anywhere. I don't think it's obvious for people outside of google's ecosystem just how extraordinarily good the JAX + TPU ecosystem is. Google several structural advantages over other major players, but the largest one is that they roll their own compute solution which is actually very mature and competitive. TPUs are extremely good at both training and inference[1] especially at scale. Google's ability to tailor their mature hardware to exactly what they need gives them a massive leg up on competition. AI companies fundamentally have to answer the question "what can you do that no one else can?". Google's hardware advantage provides an actual answer to that question which can't be erased the next time someone drops a new model onto huggingface.

[1]https://blog.google/products/google-cloud/ironwood-tpu-age-o...

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imtringued ◴[] No.43663647[source]
Google is what everyone thinks OpenAI is.

Google has their own cloud with their data centers with their own custom designed hardware using their own machine learning software stack running their in-house designed neural networks.

The only thing Google is missing is designing a computer memory that is specifically tailored for machine learning. Something like processing in memory.

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1. ENGNR ◴[] No.43671138[source]
The one thing they lack that OpenAI has is… product focus. There’s some kind of management issue that makes Google all over the shop, cancelling products for no reason. Whereas Sam Altmans team is right on the money.

Google is catching up fast on product though.