Wow ... Cloud Managed Lustre. That has to be a nightmare to operate.

They are now https://au.finance.yahoo.com/news/google-to-sell-tpu-chips-t...

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.

Because it has been historically strongly coupled to the Google infra, both hardware and software. Now the situation has improved and now they are selling this to external clients, though it is still in a limited fashion.

They are finally starting to. Oracle just announced a week or so ago that they're going to be introducing TPUs to their cloud next year for customers to use.

https://www.msn.com/en-us/technology/tech-companies/oracle-e...

Interesting times ahead with a number of chip makers now vying for this market. TPUs are a mature chip now which gives some strong advantage. At the same time as the TPU announcement, they also mentioned they'll be deploying Cerebras systems as well.

They do. In particular they sold to Anthropic.

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 does come a point where if you're in the follow up article discussing what's new in 2 new variants of the 8th generation of a niche product for that vendor it stops being reasonable from them explaining what everything means each time and starts being reasonable to either click the links to the earlier introduction or search around for it to get a proper understanding as if you didn't know "TPU" was "Tensor Processing Unit" then there is a lot more you want to know before reading this article.

To be fair, does it matter? It seems pretty clear what they are to be used for. Does Nvidia define what CUDA is anymore? It doesn't really matter what the actual acronym is.

Maybe they assumed you would just Google it ;)

Full disclosure: I work in this space at Google, but my opinions here are my own.

You benefit indirectly because it gives Nvidia a competitor in the datacenter space and takes some pressure off the GPU market. You can also rent them on GCP.

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.

I know right?

> TPUs are now a rapidly growing business with nearly 100 customers

‘Nearly 100 customers’ in 10 years isn’t very impressive

> And again no one can use it.

So basically Google has both SOTA models (Argon and Carbon and top of the line TPUs, but...

Google is in trouble?

(reading HN search is dead and hence Google is done)

> And again no one can use it.

Did you by chance fail to read who builds these things?

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.)

They were originally a separate company (and I think still based in the UK) so it's a bit more separate than probably random other internal departments

I'm hearing good things about the T1000. it's an ideal platform for highly survivable autonomous agents.

I can't take anyone who uses "agentic" seriously.

So an announcement about a hypothetical highly effective new chemotherapy for glioblastoma, with no links for you to buy it yourself is useless ?

You are not the target market.