#DataCenter

[byruit]

Working in a datacenter in the 70s

[river-taxbird]

What does AI actually look like?

There has been a lot of talk about the negative externalities of AI, how much power it uses, how much water it uses, but I feel like people often discuss these things like they are abstract concepts, or people discuss AI like it is this intangible thing that exists off in "The cloud" somewhere, but I feel like a lot of people don't know what the infrastructure of AI actually is, and how it uses all that power and water, so I would like to recommend this video from Linus Tech Tips, where he looks at a supercomputer that is used for research in Canada. To be clear I do not have anything against supercomputers in general and they allow important work to be done, but before the AI bubble, you didn't need one, unless you needed it. The recent AI bubble is trying to get this stuff into the hands of way more people than needed them before, which is causing a lot more datacenter build up, which is causing their companies to abandon climate goals. So what does AI actually look like?

First of all, it uses a lot of hardware. It is basically normal computer hardware, there is just a lot of it networked together.

Hundreds of hard drives all spinning constantly

Each one of the blocks in this image is essentially a powerful PC, that you would still be happy to have as your daily driver today even though the video is seven years old. There are 576 of them, and other more powerful compute nodes for bigger datasets.

The GPU section, each one of these drawers contains like four datacenter level graphics cards. People are fitting a lot more of them into servers now than they were then.

Now for the cooling and the water. Each cabinet has a thick door, with a water cooled radiator in it. In summer, they even spray water onto the radiator directly so it can be cooled inside and out.

They are all fed from the pump room, which is the floor above. A bunch of pumps and pipes moving the water around, and it even has cooling towers outside that the water is pumped out into on hot days.

So is this cool? Yes. Is it useful? Also yes. Anyone doing biology, chemistry, physics, simulations, even stuff like social sciences, and even legitimate uses of analytical ai is glad stuff like this exists. It is very useful for analysing huge datasets, but how many people actually do that? Do you? The same kind of stuff is also used for big websites with youtube. But the question is, is it worth building hundreds more datacenters just like this one, so people can automatically generate their emails, have an automatic source of personal attention from a computer, and generate incoherent images for social media clicks? Didn't tech companies have climate targets, once?

[dash-digital]

@hedo_ist on Twitter (X)

[nixcraft]

Buddhist talismans for datacenter uptime

[forever-stuck-on-java-8]

me at work today:

[grey-space-computing]

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[generative-turbo-automata]

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[chinemaster]

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[byruit]

The Mainframe Geisha 🌸

[nextcertification123]

Passed the SK0-005 Exam! 🖥️

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Practiced with free questions and answers to get used to the exam format.

Studied server hardware, virtualization, storage management, and disaster recovery.

Gained hands-on experience with server configuration and maintenance tasks.

Quick Tip:

Review performance monitoring tools and security best practices—they’re heavily tested on the exam.

[kijogroup]

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[bestwebhosting-6]

What is Windows Server?

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[onccyelectrical]

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[beeswire]

Data Center Asset Management Market Set to Achieve USD 9,924.99 Million by 2034 | CAGR: 15.2%

Data Center Asset Management Market Analysis: Opportunities, Innovations, and Growth Potential Through 2034 Global Data Center Asset Management Market size and share is currently valued at USD 2,419.42 million in 2024 and is anticipated to generate an estimated revenue of USD 9,924.99 million by 2034, according to the latest study by Polaris Market Research. Besides, the report notes that the…