I watched Nvidia's Computex 2024 keynote and it made my blood run cold
I watched Nvidia's Computex 2024 keynote and it made my blood run cold
Nvidia's pre-Computex keynote address was certainly something, and none of it felt good.
One million Blackwell GPUs would suck down an astonishing 1.875 gigawatts of power. For context, a typical nuclear power plant only produces 1 gigawatt of power.
Fossil fuel-burning plants, whether that's natural gas, coal, or oil, produce even less. There's no way to ramp up nuclear capacity in the time it will take to supply these millions of chips, so much, if not all, of that extra power demand is going to come from carbon-emitting sources.
NVidia designing, building and selling these sorts of cards with astronomical power usage? I get it. They want to stay at the top.
But those buying these cards at least need to be taxed, charged, regulated, whatever to make sure the huge additional power they require is funded by said company, and should only be green/renewable energy sources. And not using clean drinking water communities need for cooling.
If companies want to run massive amounts of hardware like this, it should be prohibitively expensive unless they build their own GREEN power stations, and find ways to cool without using drinking water from any community.
At the moment, taxes and government money goes into power stations which these DCs then use. All the cost is pushed right down onto the every day tax payer and consumer. But all the profit is flowing upwards.
Make them pay for what they use. Make them pay to make these cards efficient, clean, and safe for our environment. Its not like these trillion dollar companies couldn’t pay for it all and make the world a better place.
Using tons of energy isn’t a problem, as long as it’s carbon neutral (or negative). The problem is that we are simply not there yet. Taxing carbon is a great solution and would nearly immediately fix the problem (on the scale of years, not decades).
Using tons of energy isn’t a problem, as long as it’s carbon neutral (or negative).
That energy should go to more useful-to-society purposes, first. If all the "AI" datacenters are running on green power and the rest of us are still burning coal, then that's green power that's still wasted. It's even more of a slap in the face if taxpayer funds go toward the costs of building any of those single-purpose green energy projects.
I've had multiple people on Lemmy tell me that the amount of energy LLMs use will be trivial. They always base it on the amount of energy used to train the LLMs, not the millions (billions? trillions?) of calculations those LLMs have to do every second they're used by who knows how many people 24 hours a day.
Then you bring up the water wasting and the best they can do is say something like, "okay, that's a problem... but only in some places!"
(Some places including much of the United States. Guess where lots of the data centers are?)
I don't disagree, but it is useful to point out there are two truths in what you wrote.
The energy use of one person running an already trained model on their own hardware is trivial.
Even the energy use of many many people using already trained models (ChatGPT, etc) is still not the problem at hand (probably on the order of the energy usage from a typical search engine).
The energy use in training these models (the appendage measuring contest between tech giants pretending they're on the cusp of AGI) is where the cost really ramps up.
We should start celebrating efficiency. Let's name a planet after the scientist who discovers how to power these cards using 60% less energy.
Room temperature super conductors will save us, if they exist.
Resistive heating is not the dominant energy loss mechanism in modern computing. Since the advent of field effect transistors, switching losses dominate. Room temperature super conductors could be relevant in power generation, distribution, and manuafacturing, but would not radically alter the power requirements for computing.
I personally don't think any possible room temperature super conductors would be economical to produce at a large enough scale to make a large difference in energy demands. Researchers have pretty thoroughly investigated the classes of materials that are easy to manufacture, which suggests a room temperature superconductor would be prohibitevely expensive to produce.
You only need 1.21 gigawatts to go back to the future in a Delorean.
I think you mean 1 point 21 jigowatts
"I always figured that the word “Jigawatt”was made up just for the movie and meant to sound like a really large amount. It wasn’t unit I started researching this flux capacitor replica project that I stumbled across a few references to the actual term. It turns out that the original pronunciation of “Giga” was with the “j” sound (really a soft “g”)." Here Check out Merriam Webster's pronunciation
Jigga what?
Nvidia could announce a side-gig dedicated to fossil-free, local power generation. Get your money coming and going.
Boil water with the heat coming off their GPUs, use the steam to turn turbines, use the generated electricity to power the GPUs! Free unlimited power! Why hasn't anyone gotten in on this yet?
/s