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Re:Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text... by schiffern on Tuesday November 10, 2026 @12:46AM (#50436544)

  >documented hardware hoarding
If you read the actual quote, all they say is that Microsoft isn't bottlenecked by GPUs. The "hardware hoarding" angle is just editorialization by the writer of the article.

  >“The biggest issue we are now having is not a compute glut, but it’s power – it’s sort of the ability to get the builds done fast enough close to power,” Nadella said. “So, if you can’t do that, you may actually have a bunch of chips sitting in inventory that I can’t plug in. In fact, that is my problem today. It’s not a supply issue of chips; it’s actually the fact that I don’t have warm shells to plug into.”

  >His comments echo those made by Microsoft’s CFO Amy Hood on the company’s Q1 2026 earnings call last week, where she told analysts that access to compute hardware has not been a constraint for the hyperscaler
Nothing about GPUs sitting on a shelf somewhere.
Re:Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text... by torginus on Tuesday November 10, 2026 @03:43AM (#50437637)
Which is the point I was making. One example I managed to find is:

https://www.techpowerup.com/301649/nvidia-geforce-rtx-4090-w...

They get 95% of performance in a game with 60% TDP. I'm not sure how this translates to datacenters, but I suspect You can get at least 75% of the perf from a datacenter GPU running at half power, so it makes sense to install them anyway, and run all your stuff at lower power, as you'd still get 1.5x the perf.

Re:Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text... by schiffern on Tuesday November 10, 2026 @08:03AM (#50439735)
That seems surprising? I would expect datacenters GPUs are already optimized for that, since it's one of the main difference between how datacenters and gaming GPUs are evaluated.

It should have been trivial to find a source if the assumption was true, which makes me doubt even harder.