Scientific computing is about to get a massive injection of AI

Scientific computing is about to undergo a period of rapid change as workloads inject AI. So says Ian Buck, Nvidia's VP and General Manager of Hyperscale and HPC, who told The Register he expects that within a year or two, the application of AI will be pervasive throughout high performance computing and scientific workloads …

[HuBo]

Blackwell: "high-performance linpack declined [but] (HPCG) benchmark – rose"

Good point. I guess that means we can approximate CHIE-4's HPCG/HPL ratio (Xeon+Blackwell) from ABCI 3.0's (Xeon+H200) with those figures (and/or vice-versa) ... say: (2.446/145)*(45/34)/(45/67) = 3.3% to CHIE-4's actual 2.8% ... perty close (rounding to 3%)!

[Neil Barnes]

So the scientists

Need a computer which is simultaneously very very accurate/precise, but also can't add up?

[cyberdemon]

Re: So the scientists

Precise, perhaps, but clearly not very accurate.

[Yet Another Anonymous coward]

Re: So the scientists

For lots of scientific computing tasks you don't need FP64

eg for Weather forecasts FP1 is sufficient = is it raining or not?

Even with advanced Quantum Weather forecasting = look outside and see if it's raining now

[Anonymous Coward]

Great timing

All signs are the AI bubble is bursting with massive sell offs of tech stocks over fears they're hugely overvalued (No Shit Sherlock), bit of luck it's take Tesla out too

[Wiretrip]

Re: Great timing

Yes which is why they now have to find other uses for all the hardware that is being wasted on LLMs.

[Anonymous Coward]

oh god.

[ComicalEngineer]

Just wait until AI reaches space

Will it have a HAL 9000 moment?

[Anonymous Coward]

Complete crap. The problem in scientific computing is, and has been for many years, the issue of sufficient good quality data (and the right question). AI is hot air and hype at fitting a glorified nonlinear parameter fitting model and then not having a clue what it means.

[Yet Another Anonymous coward]

Really ?

"t has to be great at simulation; it has to be great at AI; and it also has to be a quantum supercomputer," Buck said."

Was this a summary written by AI ?

There are currently no working Quantum Computers and there are lots of supercomputers

[Anonymous Coward]

I'll take the prophecy from an Nvidia pumper with a pillar of salt, thanks.

"Scientific computing is about to undergo a period of rapid change as workloads inject AI." Yes, if you mean forcibly inject down the throat while you're being held down and a firehose is inserted.

[David 132]

AI Gavage. Good analogy.

Or perhaps that should be “GavAIge”.

[Anonymous Coward]

'AI' in Scientific computing ... (or any arena, if we can get away with it !!!)

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One Humongous POP later !!!

Anyone want an almost built Datacentre or three ... hardly used ... with lots & lots of kit going cheepcheap !!!

:)

[Rivalroger]

cost

Sure, it would be great to pack out our DC with some sexy gpu toys, there might even be a demand but £££/€€€/$$$ (choose your underfunded institutional localtion) say no.