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"and is the fastest AI system in the world dedicated to AI for open science" Cool. Please ask it to sue for peace in several parts of the world, in an open wa

"and is the fastest AI system in the world dedicated to AI for open science" Cool. Please ask it to sue for peace in several parts of the world, in an open way. Whilst it is at it, get it to work out how to be realistically carbon neutral. I'm all in favour of willy waving when you have something to wave but in the end this beast will not favour humanity as a whole. It will suck up useful resources and spit out some sort of profit somewhere for someone else to enjoy.

cmdrk 2y ago
They’re simply latching onto the AI buzzwords for the good press. Leadership class HPCs have been designed around GPUs for over a decade now, it just so happens they can use those GPUs to run the AI models in addition to the QCD or Black hole simulations etc that they’ve been doing for ages.
- alephnerd 2y ago
  Nvidia's entire DGX and Maxwell product line was subsidized by Aurora's precursor, and Nvidia worked very closely with Argonne to solve a number of problems in GPU concurrency. A lot of the foundational models used today were trained on Aurora and its predecessors, as well as tangential research such as containerizarion (eg. In the early 2010s, a joint research project between ANL's Computing team, one of the world's largest Pharma companies, and Nvidia became one of the largest customers of Docker and sponsored a lot of it's development)
- kkielhofner 2y ago
  It's much more than that. For example, I have an "AI" project on Frontier. The process was remarkably simple and easy - a couple of Google Meets, a two page screed on what we're doing, a couple of forms, key fob showed up. Entire process took about a month and a good chunk of that was them waiting on me. Probably half a days work total for 20k node hours (four MI250x per node) on Frontier for free, which is an incredible amount of compute my early resource constrained startup would have never been able to even fathom on some cloud, etc. It was like pulling teeth to even get a single H100 x8 on GCP for what would cost at least $250k for what we're doing. And that's with "knowing people" there... These press releases talking about AI are intended to encourage these kinds of applications and partnerships. It's remarkable to me how many orgs, startups, etc don't realize these systems exist (or even consider them) and go out and spend money or burn "credits" that could be applied to more suitable things that make more sense. They're saying "Hey, just so you know these things can do AI too. Come talk to us." As an added bonus you get to say you're working with a national lab on the #1 TOP500 supercomputer in the world. That has remarkable marketing, PR, and clout value well beyond "yeah we spent X$ on $BIGCLOUD just like everyone else".
melling 2y ago
We are in an age of incessant whining
- deleted 2y ago
  [deleted]
- doctor_eval 2y ago
  …and, apparently, unintended irony.
  - melling 2y ago
    No, the irony was understood. Some f-wad always likes to point out the “irony“. It’s not the first time I’ve addressed the problem. Human nature seems to head straight to complaining That’s why it appears unstoppable.

cmdrk 2y ago

They’re simply latching onto the AI buzzwords for the good press. Leadership class HPCs have been designed around GPUs for over a decade now, it just so happens they can use those GPUs to run the AI models in addition to the QCD or Black hole simulations etc that they’ve been doing for ages.

alephnerd 2y ago
Nvidia's entire DGX and Maxwell product line was subsidized by Aurora's precursor, and Nvidia worked very closely with Argonne to solve a number of problems in GPU concurrency. A lot of the foundational models used today were trained on Aurora and its predecessors, as well as tangential research such as containerizarion (eg. In the early 2010s, a joint research project between ANL's Computing team, one of the world's largest Pharma companies, and Nvidia became one of the largest customers of Docker and sponsored a lot of it's development)
kkielhofner 2y ago
It's much more than that. For example, I have an "AI" project on Frontier. The process was remarkably simple and easy - a couple of Google Meets, a two page screed on what we're doing, a couple of forms, key fob showed up. Entire process took about a month and a good chunk of that was them waiting on me. Probably half a days work total for 20k node hours (four MI250x per node) on Frontier for free, which is an incredible amount of compute my early resource constrained startup would have never been able to even fathom on some cloud, etc. It was like pulling teeth to even get a single H100 x8 on GCP for what would cost at least $250k for what we're doing. And that's with "knowing people" there... These press releases talking about AI are intended to encourage these kinds of applications and partnerships. It's remarkable to me how many orgs, startups, etc don't realize these systems exist (or even consider them) and go out and spend money or burn "credits" that could be applied to more suitable things that make more sense. They're saying "Hey, just so you know these things can do AI too. Come talk to us." As an added bonus you get to say you're working with a national lab on the #1 TOP500 supercomputer in the world. That has remarkable marketing, PR, and clout value well beyond "yeah we spent X$ on $BIGCLOUD just like everyone else".

melling 2y ago

We are in an age of incessant whining

deleted 2y ago
[deleted]
doctor_eval 2y ago
…and, apparently, unintended irony.
- melling 2y ago
  No, the irony was understood. Some f-wad always likes to point out the “irony“. It’s not the first time I’ve addressed the problem. Human nature seems to head straight to complaining That’s why it appears unstoppable.