The main cause of water fear mongering is that one woman’s well was dirty during construction of a data center. First construction is not the center running, and having lived on a well they get dirty for all kinds of reasons.
The main cause of water fear mongering is that one woman’s well was dirty during construction of a data center. First construction is not the center running, and having lived on a well they get dirty for all kinds of reasons.
https://www.eesi.org/articles/view/data-centers-and-water-co...
According to EESI (a bipartisan-founded non-profit), a large data center:
> can consume up to 5 million gallons per day, equivalent to the water use of a town populated by 10,000 to 50,000 people.
Also noting that AI datacenters can use more.
> Approximately 80% of the water (typically freshwater) withdrawn by data centers evaporates, with the remaining water discharged to municipal wastewater facilities.
I don't think 'anyone who thinks X is Y' is a good basis for discussion, which is the real point.
Go vegan for a few weeks and you’ve just negated all your AI water use for the rest of your lifetime.
I don't disagree with your assertion; however you do have to realize that their grievances, while not completely informed, are not wrong.
In a world where everybody seems to be quoting grok with no further thought process you would think people would be more welcoming of someone who is "slightly wrong" on occasion. It's the strongest indicator that a flawed human being got their information not directly from a machine.
If someone is spreading deception, intentionally or not, then it's entirely within my rights to point out they are without engaging further. If they want to be taken seriously, they have to at least indicate that they are willing to self-correct in the face of direct evidence that they are wrong.
What is it with millennials and "rights"? It's a sincere question. People don't owe you anything and neither do you owe me anything, sure... so why do you demand another have a higher standard that you yourself hold to. I know you don't hold yourself to that standard because you would rather nitpick someone on a single inaccuracy then grapple with a very real issue (which you yourself would not appreciate if they did that to you). The respectable thing to do is to note the inaccuracy and approach the valid portion of the argument sincerely.
What you demonstrate is a lack of care for those around you, and a lack of care for what is actually true. You would rather "umm actually" then treat others with an ounce of respect. It's shameful and devoid of grace.
However I live in a much nicer area than Chicago and any Walmart, large mass of people, or DC would really destroy the PV as well as it would be an eyesore.
I don't really understand why so many just want to over industrialize so many beautiful places so that a corp. can sell the next gimmicky iteration of our "best model yet" which is just slightly slower and more expensive then the previous.
There are certainly problems that can be crated by dumping heat into a body of water, but that's not the argument being made.
I'm willing to bet that a datacenter creates a fraction of the pollution of a similarly sized industrial facility such as a chemical plant, refinery, smelter, or steel mill.
That source of power, since our grid is so outdated and struggles with the weight of these power-hogs, EVs as well as increased usage of AC during the summers create some dangerous conditions.
There is the risk of heavy metals getting into the water supply as the copper degrades but that will only be a problem down the line, that's prescient but not yet realized.
> I'm willing to bet that a datacenter creates a fraction of the pollution of a similarly sized industrial facility such as a chemical plant, refinery, smelter, or steel mill.
I agree; however I would not want a DC or a refinery, smelter or steel mill anywhere near my town. We have industrial districting for that reason, and because a lot of DC projects want to be put next to lakes and water sources, this causes issues for the residents.
In the case of one amazon data center, they were pulling in water that already had nitrates in it due to agricultural run off, but it wasn't enough nitrates to cause a problem for anyone until the data center came. It pulled in a massive amount of water, a lot of which was evaporated and that left behind water with very high concentrations of nitrates.
Normally, the nitrates would be filtered naturally and would mostly remain in the top layers of soil. Amazon pumped out 10s of millions of gallons of the vastly more contaminated water. It was so much water that it was forced much deeper into the ground. It was pushed deep enough to reach the aquifer which contaminated the water source for an entire community of 45,000 people.
Suddenly the water coming out of people's taps was polluted at 10x the federal level for safe drinking water. People got sick. Cancer rates spiked. Babies died. Amazon was forced to settle and pay out 20 million for water treatment and to dig new deeper wells for the community.
> I'm willing to bet that a data center creates a fraction of the pollution of a similarly sized industrial facility such as a chemical plant, refinery, smelter, or steel mill.
This is whataboutism. The existence of other bad things, or even worse things, doesn't make data centers good. They are a problem for the environment regardless of whatever else is also a problem and that's something that needs to be considered every time someone wants to build one. The companies who build and operate data centers should be held 100% accountable for the harm they cause.
https://sustainability.google/reports/google-2026-environmen...
https://www.aboutamazon.com/news/sustainability/amazon-data-...
Or about 0.6% of the water used to grow almonds
Fortunately, now we have computers, which are great at unit conversion, so we can cut right through these feeble attempts at obfuscation. In non-medieval units, 10.9 billion gallons per year is 41.3 million cubic meters per year or 1.3 cubic meters per second. The river a few kilometers from me has a discharge of 22000 cubic meters per second (of fresh water dumped into the sea), so Google is the equivalent using 0.006% of the Rio de la Plata. Lake Superior contains 12070 cubic kilometers of water, which is 1.207 × 10¹³ cubic meters, also of fresh water, so Google's current use would dry up Lake Superior in only 290,000 years.
Google is mostly not very close to Lake Superior or the Rio de la Plata; a more relevant river might be the Sacramento River, which drains into the San Francisco Bay where Google was born, and it's much smaller than the Rio de la Plata. Specifically, its average discharge is 797m³/s, so Google is using 0.16% of the discharge of the Sacramento River. (But some of that is at datacenters far from California.)
https://en.wikipedia.org/wiki/Water_in_California#Agricultur... tells us that agriculture in California uses 34.1 million "acre feet" of water per year (Americans will do anything to avoid using the metric system, especially when they're trying to be sneaky). In non-medieval units, that's 42.1 billion cubic meters, and per year, it's 1330 cubic meters per second, almost exactly 1000 times Google's use. Of that, 18% (240 cubic meters per second) is spent on alfalfa, or was in 02014, anyway.
One major difference is that you need fresh water, like the water of the Sacramento River, to irrigate crops, but you can cool data centers with salt water from the ocean. It's less convenient, because there are a variety of annoying things that happen with biofouling and corrosion, but that's what you'd do if hyperscalers scaled up by another factor of 100× so that their water usage became large enough to be environmentally significant.
But that doesn't happen until they have 100× the computing power they have today. So anybody who tells you AI datacenters are a major water user is lying.
HVAC equipment can also cause a lot of noise pollution all on its own.
At this point, I almost consider it trolling to bring it up: purposely throw in something incredibly stupid, and then throw a hissy fit when predictably called out on it.