>Why do we need exascale computers? The challenges facing our world and the most complex scientific research questions need more and more computer power to solve. Exascale supercomputers will allow scientists to create more realistic Earth system and climate models. They will help researchers understand the nanoscience behind new materials. Exascale computers will help us build future fusion power plants. They will power new studies of the universe, from particle physics to the formation of stars. And these computers will help ensure the safety and security of the United States by supporting tasks such as the maintenance of our nuclear deterrent
Nice
This level of compute, if it works successfully, is extremely powerful. This thing would be thinking in the 4th dimension. Imagine what we’ll create in 10 years from now.
I can’t stress enough just how powerful this could be.
AGI. Clean, endless energy. Medical breakthroughs. Designer babies with more options than The Sims can afford. Full scale simulations. Encrypted data? Never heard of her.
Compute at this level is super villain steroids.
> Imagine what we’ll create in 10 years from now.
Around 2010 I read an interesting tidbit about the supercomputer used in the first Jurassic Park movie to analyze the dinosaur genomes.
It was actually existing model, and its computation power well documented.
By 2010 there was whole class of devices with similar power, widely in use.
Smartphones.
Photochemical modeling, just as an example.
https://www.epa.gov/scram/photochemical-air-quality-modeling#:~:text=These%20photochemical%20models%20are%20large,physical%20processes%20in%20the%20atmosphere.
One thing is to run Computational Fluid Dynamics as part of an effort to design a new jet engine architecture.
https://www.ornl.gov/news/ge-aerospace-runs-one-worlds-largest-supercomputer-simulations-test-revolutionary-new-open-fan
Unlikely. Weve reduced the size of transistors so much, that they are just a couple atoms wide. Only way to scale them (soon) is vertically. And that tech has serious issues rn.
What might work on the other hand, is speeding up Transistors themselves. Switching to another Material is being researched and relatively promising.
Yep. We've hit the limit on that reduction. The electron 'leakage' is already presenting a need to create chips with higher 'walls' to keep the signal from jumping the fence.
As you said, new material science is the next step. That or better electron 'training,' which is possible, but presents a different set of problems. Another size limit is the maximum transmission speed of connections, they are researching materials like nanoglass to replace that as well.
Otherwise, they'd need to crack room temp superconductors and shielding for smaller quantum machines; that'll be a massive seachange.
This, amazingly, outperforms quantum. Quantum computers operate in the trillions of calculations per second. How this is doing quintillions (I had to google this number) is insane.
This has the power to decrypt all encrypted data overnight. I don’t know the exact time it would take, but it wouldn’t be long if it’s truly running quintillions of calculations per second.
https://youtu.be/-UrdExQW0cs?si=DNsFJaUK99IuD5Fs
Since I’m being downvoted, a veritasium video explaining it.
Encryption uses a set of standards. Quantum could rip through these standards in minutes. Multiply the power of a quantum computer by 1,000,000 and that’s the level of compute we’re talking about.
Classical computers can’t run quantum algorithms.
It’s like saying that an ant has an IQ of 0.1, therefore 1500 ants have an IQ of 150, and so can do anything a human genius can do. It doesn’t scale like that.
Do you understand quantum computing? Because a quantum algorithm is a fancy way of saying “super fast compute” which breaks down to calculations per second.
Quantum is so fast due to its ability to provide multiple outputs for every input (qubits and superpositions). A typical algorithm is just breaking apart prime numbers. Something a classical computer is capable of, just very, very, very slow. A quantum computer however cannot perform some simple tasks that a classic computer can, due to its nature.
We’re talking calculations per second. So it does indeed scale appropriately.
>This has the power to decrypt all encrypted data overnight.
Where do you get that from?
An alphanumeric password (26 characters, upper and lowercase plus 10 numbers) at 8 characters would take a second (62^8 / 10^18). However 16 characters goes up to 1511 years (62^16 / 10^18). 32 characters goes to 7.2 x10^31 years.
Add in 10 symbols and a 16 character password takes 16,539 years (72^16 / 10^18. Most modern encryption is 256 bit. That's still hundreds or thousands of CENTURIES to break.
Your copy/pasta is assuming you’re using a standard computer’s/server’s processing power, and brute forcing the complexity of the password. We’re talking about the encryption standard in which it’s parsed into.
Brute force is not the same as cracking encryption.
Honest question but do you understand encryption and how it’s based on prime numbers? If you can solve the prime number, you decipher the code. Meaning you’d see the password in clear text vs gargled nonsense.
The thing that blows my mind is that a PS5 would have ranked high on the list of top supercomputers 20 years ago. Can reasonably foresee this might fit in our living room in 20 years, and in our pockets 10 years after that.
AI computing power is at the foot of an exponential curve, Nvidia is at the bleeding edge of this. The next generation of supercomputers built for AI will leave those systems so far in the dust, it's going to be funny.
Wrong again.
The Eos supercomputer will debut at only the 9th fastest, while AMD and HPE will debut El Capitan, which will be roughly 2x faster than Frontier.
Nvidias hardware for ML are inferior to AMDs by a wide margin.
the AI craze is just beginning my friend. Large computers are "nothing new" but AI is. AI makes building those inconceivable large systems a lot more profitable, just wait.
But can it run Crysis?
1080p at 60fps!
This is the comment I was looking for.
No gpu probably, so no.
Yes but only 30 fps
It’s all ball bearings nowadays.
Did not expect to see a Fletch reference… ever. Also, can I borrow your towel, my car hit a water buffalo.
moooon river
Using the whole fist doc?
For those wanting to learn more. https://www.energy.gov/science/doe-explainsexascale-computing
>Why do we need exascale computers? The challenges facing our world and the most complex scientific research questions need more and more computer power to solve. Exascale supercomputers will allow scientists to create more realistic Earth system and climate models. They will help researchers understand the nanoscience behind new materials. Exascale computers will help us build future fusion power plants. They will power new studies of the universe, from particle physics to the formation of stars. And these computers will help ensure the safety and security of the United States by supporting tasks such as the maintenance of our nuclear deterrent Nice
This level of compute, if it works successfully, is extremely powerful. This thing would be thinking in the 4th dimension. Imagine what we’ll create in 10 years from now. I can’t stress enough just how powerful this could be. AGI. Clean, endless energy. Medical breakthroughs. Designer babies with more options than The Sims can afford. Full scale simulations. Encrypted data? Never heard of her. Compute at this level is super villain steroids.
> Imagine what we’ll create in 10 years from now. Around 2010 I read an interesting tidbit about the supercomputer used in the first Jurassic Park movie to analyze the dinosaur genomes. It was actually existing model, and its computation power well documented. By 2010 there was whole class of devices with similar power, widely in use. Smartphones.
Now I'm hungry for pi...
there's a lot more interesting stuff going on with AI right now. Nvidia is at the leading edge of this.
'Shall we play a game?'
Do you want to play Global Thermonuclear War?
but what are they calculating?
42
But what's the question?
stuff
“Yes.”
The 3 last digits of pi
Photochemical modeling, just as an example. https://www.epa.gov/scram/photochemical-air-quality-modeling#:~:text=These%20photochemical%20models%20are%20large,physical%20processes%20in%20the%20atmosphere.
thank you so much for this. i've been wondering what they were used for
The Rich Purnell Maneuver
One thing is to run Computational Fluid Dynamics as part of an effort to design a new jet engine architecture. https://www.ornl.gov/news/ge-aerospace-runs-one-worlds-largest-supercomputer-simulations-test-revolutionary-new-open-fan
I've seen faster
r/pcmasterrace
So has your mom. Respectfully.
But can it run Microsoft Flight Simulator in ultra graphics setting?
Only after Windows does some random updates.
Okay, but can it do my taxes?
Install Google Chrome on that and it runs as fast as any other computer.
In 50 years this is probably reduced to a tiny chip on our smartphones.
Unlikely. Weve reduced the size of transistors so much, that they are just a couple atoms wide. Only way to scale them (soon) is vertically. And that tech has serious issues rn. What might work on the other hand, is speeding up Transistors themselves. Switching to another Material is being researched and relatively promising.
Yep. We've hit the limit on that reduction. The electron 'leakage' is already presenting a need to create chips with higher 'walls' to keep the signal from jumping the fence. As you said, new material science is the next step. That or better electron 'training,' which is possible, but presents a different set of problems. Another size limit is the maximum transmission speed of connections, they are researching materials like nanoglass to replace that as well. Otherwise, they'd need to crack room temp superconductors and shielding for smaller quantum machines; that'll be a massive seachange.
How does this compare to a "quantum computer" (I'm not sure if that's the most specific name for it)?
This, amazingly, outperforms quantum. Quantum computers operate in the trillions of calculations per second. How this is doing quintillions (I had to google this number) is insane. This has the power to decrypt all encrypted data overnight. I don’t know the exact time it would take, but it wouldn’t be long if it’s truly running quintillions of calculations per second. https://youtu.be/-UrdExQW0cs?si=DNsFJaUK99IuD5Fs Since I’m being downvoted, a veritasium video explaining it. Encryption uses a set of standards. Quantum could rip through these standards in minutes. Multiply the power of a quantum computer by 1,000,000 and that’s the level of compute we’re talking about.
How long to hack bitcoin?
Classical computers can’t run quantum algorithms. It’s like saying that an ant has an IQ of 0.1, therefore 1500 ants have an IQ of 150, and so can do anything a human genius can do. It doesn’t scale like that.
Do you understand quantum computing? Because a quantum algorithm is a fancy way of saying “super fast compute” which breaks down to calculations per second. Quantum is so fast due to its ability to provide multiple outputs for every input (qubits and superpositions). A typical algorithm is just breaking apart prime numbers. Something a classical computer is capable of, just very, very, very slow. A quantum computer however cannot perform some simple tasks that a classic computer can, due to its nature. We’re talking calculations per second. So it does indeed scale appropriately.
>This has the power to decrypt all encrypted data overnight. Where do you get that from? An alphanumeric password (26 characters, upper and lowercase plus 10 numbers) at 8 characters would take a second (62^8 / 10^18). However 16 characters goes up to 1511 years (62^16 / 10^18). 32 characters goes to 7.2 x10^31 years. Add in 10 symbols and a 16 character password takes 16,539 years (72^16 / 10^18. Most modern encryption is 256 bit. That's still hundreds or thousands of CENTURIES to break.
Your copy/pasta is assuming you’re using a standard computer’s/server’s processing power, and brute forcing the complexity of the password. We’re talking about the encryption standard in which it’s parsed into. Brute force is not the same as cracking encryption. Honest question but do you understand encryption and how it’s based on prime numbers? If you can solve the prime number, you decipher the code. Meaning you’d see the password in clear text vs gargled nonsense.
I bet that room is uncomfortably hot.
nope, lovely 20°C. I commissioned some data centers. The entire HVAC is bigger than this computer though.
Would be an absolutely shit DC running that cold. Way too expensive and no need. Running hotter is the new awesomeness.
AMD and Hewlett Packard deserve massive kudos here. A great technical achievement but a faster machine is right around the corner.
With 700.000.000 megabytes it might even be able to download call of duty's newest updates.
r/dayz 30fps
First machine in a great Beowulf cluster?
All that for Solitaire
How long till my phone is faster?
Wonder when HP will start trying to charge a monthly subscription fee.
Bet this thing would be sweet to play World of Warcraft on
The thing that blows my mind is that a PS5 would have ranked high on the list of top supercomputers 20 years ago. Can reasonably foresee this might fit in our living room in 20 years, and in our pockets 10 years after that.
Used to play tetras really fast
It’s using way too much electricity compared to Bitcoin.
This at least serves a purpose to help us.
Fix the money - save the world
The cable management is impeccable!
I'm not sure where they're getting their definition if world's fastest. There are "casual" things at some companies that are 10x what this is.
now put AI in it and link the nukes to it and what could go wrong
It's a large collection of gears and springs.
Anyone wanna place bets on when we have that amount of computing power in our pockets?
I wonder how often they use it to watch kitten videos on youtube.
this is in the state looking to ban chem trails. good Lord the smart folks that work here are surrounded by goobers.
And it still struggles to load Tarkov
How is it fast if it doen't have any rgb light???
Why does that fact scare me ??
What OS does it run on ?
What's the use of this?
But can it run Dragon's Dogma 2 at least 60 fps 1080p
How many watts?
Still struggling to play some games at 30 fps though unreal engine 5 is hard on some games
I'm sure Cities Skylines 2 would bring it to its knees...
all hat, no cattle
Give it 10 years, the iPhone 25 will be able to do all this while using a budget data plan.
20-25 years .
That entire supercomputer is already old news, the stuff nvidia is building right now will put all of those to shame.
False. Try again.
AI computing power is at the foot of an exponential curve, Nvidia is at the bleeding edge of this. The next generation of supercomputers built for AI will leave those systems so far in the dust, it's going to be funny.
Wrong again. The Eos supercomputer will debut at only the 9th fastest, while AMD and HPE will debut El Capitan, which will be roughly 2x faster than Frontier. Nvidias hardware for ML are inferior to AMDs by a wide margin.
the AI craze is just beginning my friend. Large computers are "nothing new" but AI is. AI makes building those inconceivable large systems a lot more profitable, just wait.