r/computing

▲ 0 r/computing+1 crossposts

Idea

I had this idea for AI data centers.

Instead of using huge amounts of fresh water for cooling, what if we built AI data centers next to big underground sewage or wastewater tunnels? The servers would be completely sealed inside a waterproof structure, and they wouldn't touch the wastewater at all.

The idea is to use a closed-loop liquid cooling system, like a gaming PC. The coolant would keep circulating through the servers, and a heat exchanger would transfer the heat to the continuously flowing wastewater. Since the wastewater is always moving, it could carry away the heat without using large amounts of fresh water.

Another advantage is that these data centers could be built in cities where fiber-optic internet cables and power lines already exist underground, so they would still have fast internet and reliable electricity.

I know there would be engineering challenges like flood protection, maintenance, and environmental safety, but I think it's an interesting concept that could be researched further. It might help make future AI data centers more sustainable while making use of infrastructure that's already there.

What do you think? Do you think something like this could actually work?

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u/crocodile_7 — 5 days ago
▲ 6 r/computing+4 crossposts

Do I even need a dGPU for CS/Data Science as a freshman?

Starting CS this fall, 300km from home. Got a 5700X + 4060 desktop but can’t bring it. Home only 1-2x a month.

Debating between a budget no-GPU laptop vs one with a dGPU. Main question — for hackathons and local AI agents, do I actually need CUDA or can I just use Colab/cloud GPUs and call it a day?

Was the dGPU on your laptop worth it, or did you end up on Colab anyway?

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u/ChapsLair1215 — 6 days ago
▲ 14 r/computing+14 crossposts

What if a new AI architecture could train on a laptop with just 4GB of RAM and an old Intel i5 - no GPU, no cloud?

We tested exactly that at Trijna Labs.

We've published a short video showing part of the training process. If you're interested, watch the video and check the YouTube comment link for the unedited raw training footage.

We're looking for honest technical feedback, criticism, and questions from people working on AI systems, model architectures, training infrastructure, or efficient inference.

We're also open to collaborating with researchers, engineers, builders, and anyone interested in helping push the project forward.

youtu.be
u/Different-Turnip3864 — 7 days ago
▲ 225 r/computing+2 crossposts

Machines in the Intel labs

[ Removed by Reddit in response to a copyright notice. ]

u/Secret_Admirer26 — 11 days ago
▲ 107 r/computing

Did you know magnetic tape literally rots over time? The Rock & Roll Hall of Fame almost lost their entire archive because of it

The sticky shed effect is when the glue holding the magnetic particles to the tape starts breaking down and becoming sticky. Last night, while falling down the Wikipedia rabbit hole, I stumbled upon something absolutely disgusting: trying to play a sticky tape will get it stuck or damage its coating and all data stored there. Lost data is gone forever.

Archives from the 70s and 90s are about to suffer from this phenomenon. And this is precisely what happened at the Rock & Roll Hall of Fame; years of interviews and concerts were about to be permanently lost. However, before that happens, the museum worked together with Tape Ark and managed to digitize the whole archive.

The most shocking thing is that many organizations are not even aware of this threat. Tapes may look perfectly fine until they start being played. I never knew that there was an entire industry working on salvaging this kind of data. And the scariest thing is how many organizations have no idea about the threat; tapes look absolutely fine until you try playing them, but there is an entire industry dealing with it.

u/ExpensiveDecision268 — 13 days ago