AI, apps and websites have found a new home in New York

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AI, apps and websites have found a new home in New York
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A key piece of digital infrastructure is being built just outside Manhattan.

One of the hallways inside a data center being constructed, Aug. 27, 2024, in Orangeburg, New York.Apps and websites are thought of as things that exist purely in cyberspace, but the online world is held up by a lot of physical infrastructure. That infrastructure is increasingly under the spotlight amid the rise of power-hungry artificial intelligence technologies like ChatGPT.

Databank acts similarly to the owner of an office building. Companies as big as Apple and as small as neighborhood banks contract with the company, and those firms handle setting up and running their own computers and servers. Databank, meanwhile, is in charge of making sure those devices get constant security, cooling and power.

Several large gas-powered generators line the outside of a data center being constructed in Orangeburg, New York.Right now, there are more than 8,000 data centers around the world, according to the U.S. International Trade Commission, with more than 2,800 in the US. “In the world almost everything we do is somehow tied to -- either uses them directly or uses something that’s needed on these data centers. And so, in order to keep the economy running, we need this,” says Stein.

At the Orangeburg facility, Fuentes says their clients’ computer hardware is going to live in one of five 20,000-square-foot rooms, known as “data halls.” Floors will be installed about 3 feet off the ground, leaving room for industrial strength air conditioners. Because all this computing can generate a lot of heat, the design allows cold air under rows and rows of computers.“Depending on how much utilization the customer is using at the time, yeah, it can get pretty loud in here.

A 20,000 sq. ft."data hall," that's under construction at a data center, Aug. 27, 2024, in Orangeburg, New York.The AI boom has only thrown fuel on the fire. A report from Goldman Sachs Research finds that asking ChatGPT one question takes up as much energy as ten Google Searches. Training a Large Language Model produces as much CO2 as five gas-powered cars, according to the MIT Technology Review.

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