Plenty of people and firms use TPUs, both directly and indirectly. You can rent them via Google Cloud. Apple Intelligence and Anthropic both use them. And of course your Gemini traffic is using the TPUs as well.
It’s a competitive advantage which allows them to deliver lower cost per inference. If quality continues to asymptote, best value becomes most interesting to consumers.
Then again, if they can provide competition to Nvidia, it may force Nvidia to lower prices across the board.
This is a marketing announcement, it's got the right level of info for the target audience. If you want more technical detail there's loads available elsewhere online.
There are various bits of this blog post that detail how they’re making it easier for devs to use TPUs, particularly the discussion of TorchTPU and the attendant link. That being said if you’re looking for a link to a tutorial I think it’s easily findable on Google. “Tpu tutorial Google cloud” or “Tpu developer hub” would be good queries. For example [this](https://docs.cloud.google.com/compute/docs/tpus/quickstart-c...) is at least somewhat responsive.
I don’t know why everyone keeps complaining! It’s just a simple twenty-seven step process neatly spread across three portals! (Documentation coming soon.)
> TPUs are now a rapidly growing business with nearly 100 customers
‘Nearly 100 customers’ in 10 years isn’t very impressive
Did you by chance fail to read who builds these things?
Then again, if they can provide competition to Nvidia, it may force Nvidia to lower prices across the board.
And how does each compare to their NVDA price equivalent?
You are not the target market.
You know like the Google TPUs I own that are now useless.
/sarcasm at the unoriginal naming scheme