I want to see this thing attached to a scaled-up GATO. Bring it on.

They said theyre gonna use it to make and train ai

Seriously doubt this, the article you shared is from January and the consortiums website doesn’t even have an entry for it.

https://www.i4di.eu/projects/building-one-of-the-fastest-supercomputers-in-the-world

So its just hype / fake news then? Damn i was rly hopeful

They have 1.5 months left to deliver in 2022. I hope it is real but seems too good to be true.

Happens 3 months later

Hopefully

Yeah, maybe in INT4 tensor ops. This is not the same league as Frontier or Aurora.

Yep, there’s a lot of fluff when it comes to tech/AI unfortunately.

Cerebras just put up a 1 exaflop supercomputer in 3 days, so I would say it's possible.

I get why they publish hype articles but its annoying bc i get excited and then im like hang on its probably hype

If you are seeing such progress why is your agi estimates late 2040's?

because imo thats more realistic than a lot of predictions on here, even tho im probably being too optimistic

First, the article is pretty bad, doesn't seem like high-quality journalism.
Second, there are different ways of calculating FLOPS. It depends on the kind of numbers (8-bit, 16 bit etc.) and on the benchmark. Frontier (top-1 supercomputer) has 7.5 exaflops on HPL-MxP (mixed precision) benchmark, and Google has 9 exaflops for AI tasks (probably 16 bits?) cluster.

But can it run crysis?

Article is also from Jan 2022 and hard to find any reference/source to the specific claim.

As someone who has worked in bioinformatics and done the math... 64 exaflops is huge. And by huge, I mean, 5 exaflops is the processing capability of the human brain. This thing, depending on how they build it, has the potential to be five times as smart as a human. Up until now, our best has been approaching one exaflop, which meant on par with certain pets.

Not convinced they'll actually pull it off, though.

Any idea how they determine how fast the human brain is? That’s really interesting to me.

Basically how fast a neuron can transmit a signal by how many dendrite-to-neuron connections there are.

The funny part is in the human brain, storage and processing are pretty much the same thing (so storage and processing are the same); it'd be like if the whole hard drive was stored in L1 caching. Previously, I had been watching HDD's, wondering when they'd hit the 5 exa- threshold; this article about processors hitting exabytes completely blindsided me, because if its actively processing, it can effectively count as storage, like the brain does it of the two being synonymous - meaning I was expecting this point maybe a decade and a half from now; not potentially next or even this year. Thing is, with a 5 exaflop computer, you could actually do a full human brain. With 64 exa- well... you're solidly into territory where we better start looking to science fiction for advice.

That last sentence gave me goosebumps. Haha love it

Tachyum Prodigy Offers 128 AI Exaflops for Slovakia’s €70M World Fastest AI Supercomputer

>The datacenter footprint of the Air-Cooled Prodigy Supercomputer is 107 racks of computer nodes and 10 racks of storage. The Liquid-Cooled Prodigy-based Supercomputer is 48 racks of computer nodes and 10 racks of storage. Future deployment of a modular supercomputer on the first generation Tachyum Prodigy platform is scalable up to 4 DP exaflop and 1 AI Zetaflop at less than 70 megawatts for only 500 million EUR.

>The Prodigy-enabled Slovakian supercomputer would be in AI 7x more powerful than the NVIDIA Eos, which is anticipated to provide 18.4 exaflops, and over 25x more powerful than the Fugaku Supercomputer, which is currently the world’s fastest. Tachyum rack-based solutions offer comparatively more powerful performance than Tesla Dojo and the Cineca MARCONI100 computing systems, which are ranked among the largest and most powerful supercomputers today.

I even found an older reference to the proj in an article from 2020 "Slovakia aims to build world’s fastest AI supercomputer, Technology News By Nick Flaherty"

Read this back in January here. Still cool.

Wow, you're... so unbelievably clueless. Late 2040s? And you think that's optimistic? It's like you're stuck in 2010. What in the actual hell did I just read.

Stop the cap

No offence but 2040s seems more realistic than a lot of predictions on here, sry but were not gonna have agi this decade (would love to be wrong tho) and we are also not having asi next month! (I actually saw someone on here saying that!!!)

0.5 exaflops to 64 exaflops by the end of the year, id love this to be true but it aint gonna happen.

I’m curious why you don’t think we’ll have AGI before then. The computational bottlenecks should be solved by the end of this decade, and there’s certainly no shortage of good ideas at the moment. Given that, the way I see it, early-mid 2030s seems to be a pretty reasonable estimate.

Idk i could be wrong and i hope i am but it just doesn't seem like were gonna have agi before then.

Of course it’s for AI, what else?

There's no "could" to it. Your opinion is completely and utterly mind-boggling. Words can't describe just how completely bad and wrong your take is. It's like the last time you paid attention to the field was 2009 or something.

ASI next month is of course silly, but your prediction is equally silly, just in the opposite direction.

ok so maybe my prediction is pessimistic but its more realistic than saying were gonna have agi in a few years like a lot of ppl here say

That's actually not unrealistic at all. I know some incredibly well-informed people who say that, up to and including the higher-ups of OpenAI. You don't have to change your mind but the "20s AGI" opinion is absolutely not as ridiculous as you think, or even ridiculous at all.

Like i said i hope my prediction is wrong and we get agi sooner

I'll back off then, just say you have good stuff to look forward to.

Can you share more of what the good folks over at openai have said?

Amazing!!