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Google is winning on every AI front

(www.thealgorithmicbridge.com)
993 points vinhnx | 2 comments | | HN request time: 0.415s | 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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1. albert_e ◴[] No.43663956[source]
Amazon also invests in own hardware and silicon -- the Inferentia and Trainium chips for example.

But I am not sure how AWS and Google Cloud match up in terms of making this verticial integration work for their competitive advantage.

Any insight there - would be curious to read up on.

I guess Microsoft for that matter also has been investing -- we heard about the latest quantum breakthrough that was reported as creating a fundamenatally new physical state of matter. Not sure if they also have some traction with GPUs and others with more immediate applications.

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2. chazeon ◴[] No.43715708[source]
I think Amazon, Meta have been trying on inference hardware, they throw their hands up on training; but TPUs can actually be used in training, based on what I saw in Google’s colab.