Title: Our newest TPUs: 8tx and 8i Max, built for the agentic era Small discussion previously (16 points, 4 comments) https://news.ycombinator.com/item?id=50425018
I wish Google Colab start to provide new TPU model, the most powerful we can get on Colab is still v6e-1 which is too small for serious work.
Where's the watt/token or $/token figures for each of these?
And how does each compare to their NVDA price equivalent?
Is it just me or the write up have very little information? I can’t grasp how this compare to other tech.
The article mentions "TPU" 79 times, but never explains what the term means.
(It's "Tensor Processing Unit".)
> 8t for large-scale training and 8i for real-time reasoning
> TPU 8i Max for massive context windows and the highest compute density per rack, and TPU 8tx for secure and confidential inference
You had one job, Google
New gpu chips are like the old IBM Watson. I'll never get one. "That's great, but it does nothing for me."
TFA makes some claims but offers zero data on specs or anything else. Is this a press release?
Typical Google. A literal headline “Opening up TPUs to every developer” but zero information or links on how I, a developer, can use said TPUs.
> While we’ve always co-designed our TPUs in partnership with Google DeepMind
I love it when companies expose their org charts publicly like this. As if anybody cares that they think about Google and DeepMind as different.
I’m guessing their skipping the T8 Pro model for the T9
/sarcasm at the unoriginal naming scheme
I am ready for the post-agentic era now... The agentic era turned out to be the most proclaimed era in the history... It's time for a change.
A product announcement page with 0 links to purchase or ways to purchase is useless.
Their TPUSync post is highly recommended as well. This is basically how many of the open-source repos like Strata for Qwen series models are working.
https://cloud.google.com/blog/topics/ai-infrastructure/intro...
https://github.com/Niko1221/Strata/blob/main/docs/HOW_IT_WOR...