r/aidatacenternews

Rockdale County

Video source: Alexandriarosemusic
@alexrosemusic

Part 2 here:

https://www.reddit.com/r/fuck\\\_ai\\\_slop/s/Yp2msxnDg9

This probably was not caused by data centers alone. Heck, even if none of this was caused by hyperscale data centers, we all need to solve this problem. AI cannot solve this, only make it worse.

Queue the bots talking about golf courses...

Video by engineered_mind

Caption: Check out the water levels at Dillon Reservoir. This is the marina in Frisco on June 26th.

7 Types of Cooling Techniques for Data Centers

Introduction to Cooling Techniques in Data Centers

Data centers are critical facilities that house computer systems, servers, and associated components. As these devices operate, they generate significant amounts of heat, which can reduce system performance and longevity if not adequately managed. Effective cooling solutions are paramount to ensure operational efficiency and maintain system reliability. This article explores seven common cooling techniques utilized in data centers.

1. Air Conditioning

Air conditioning units are one of the most traditional methods for cooling data centers. These systems use refrigerants and compressor technology to lower the temperature of the air. Cold air is then circulated throughout the facility to absorb the heat generated by the servers before being cycled back to the air conditioning unit for re-cooling.

2. In-Row Cooling

In-row cooling involves placing cooling units directly adjacent to server racks. This setup minimizes the distance that cold air travels before reaching the servers, which enhances cooling efficiency and effectiveness. The cooled air is directly targeted at the heat source, providing localized cooling for high-density configurations.

3. Liquid Cooling

Liquid cooling systems use a liquid coolant to absorb heat directly from the servers. This method typically utilizes water or a glycol mix, circulated through pipes and directly cooling components either via direct contact or through heat exchangers installed within the server racks. Liquid cooling is particularly effective at managing the high heat loads of modern data centers.

4. Free Cooling

Free cooling leverages external environmental conditions to assist in the cooling process. This technique can be employed in cooler climates where the outside air temperature is sufficiently lower than the desired data center temperature. By using economizers, outside air is brought in to cool the facility, significantly reducing the reliance on mechanical cooling.

5. Hot Aisle/Cold Aisle Configuration

This configuration involves the physical layout of server racks in alternating rows with hot aisle and cold aisle. The cold aisles face the AC output ducts, while the hot aisles face the AC return ducts. This arrangement helps keep the hot exhaust air from the servers separate from the cooled intake air, improving overall cooling efficiency.

6. Rear Door Heat Exchangers

Rear door heat exchangers (RDHx) are attached to the back of server racks, acting as a radiator that cools the air as it exits the server. The heat exchanger uses a coolant to absorb heat from the warm air ejected from the servers. This system allows for immediate cooling of exhaust without mixing it with the surrounding air, enhancing the cooling efficiency.

7. Immersive Cooling

In immersive cooling, server components are completely immersed in a non-conductive liquid. Heat from the servers is transferred directly to the liquid, thereby reducing the need for active cooling components like fans within the servers, which also leads to significant energy savings. This method is an emerging technology that is becoming more viable as heat loads continue to increase.

Conclusion

Choosing the right cooling strategy for a data center depends on several factors including geographic location, energy costs, environmental considerations, and the specific hardware used. As data centers continue to evolve, these cooling technologies are also being refined to provide more energy-efficient and cost-effective solutions to meet growing cooling demands.

https://www.thermal-engineering.org/7-types-of-cooling-techniques-for-data-centers/

Video source: itskaylajaiden

AI is taking jobs, a teenager is dead after talking to ChatGPT, and the same companies building this stuff are lobbying for legal immunity before anyone can hold them accountable. Flock cameras are already watching you. Humanoid robots are already in warehouses. Nobody voted for any of this, and nobody's slowing down to ask if it's safe. This is what's actually happening, not the sanitized version. https://www.youtube.com/watch?v=1xfWPE9J4UM

This video discusses a case involving teen suicide and AI chatbots. If you or someone you know is struggling, the 988 Suicide & Crisis Lifeline (call or text 988) is available 24/7.
(I am a witness, not a legal professional — this is my own research/opinion. CW: discussion of teen suicide.)

Sources: https://www.youtube.com/watch?v=RafuYcUolY4&list=LL&index=20, https://www.youtube.com/watch?v=qCsYVL-v-3A, https://www.youtube.com/watch?v=gIxq03dipUw&list=LL&index=15&t=11s, https://www.youtube.com/watch?v=qnOmUWd-OII&t=16s, https://www.youtube.com/watch?v=wlMgNtBipe4&list=LL&index=13&t=6s, https://www.youtube.com/watch?v=gIxq03dipUw&list=LL&index=15&t=305s, http://youtube.com/watch?v=AdUNz3x3re0, https://www.youtube.com/watch?v=zNrmeuU3csg&list=LL&index=17&t=27s, https://www.youtube.com/watch?v=bC4Spp6Swxc&list=LL&index=12&t=746s, https://www.youtube.com/watch?v=aooiDA-AsNo, https://www.youtube.com/watch?v=7viqI2WFfog,

The video predates the withdrawal

Nottingham data center proposal withdrawn after backlash

The Nottingham Planning Board has moved its meeting to the Nottingham School on May 27, 2026, in order to accommodate attendance with heightened community interest in a proposed data center at the Nottingham Business Park.

A proposal to build a data center in Nottingham has been withdrawn just hours before it was slated to be discussed by the town’s planning board on Wednesday night.

Opponents had organized a protest against the proposal ahead of the meeting Wednesday, with the planning board anticipating “a significant turnout,” according to Drew Stevens, chair of the planning board, who confirmed it was withdrawn.

The discussion scheduled for Wednesday was an initial conversation between the board and Thomas Moulton, the Seacoast entrepreneur who was proposing to convert a vacant warehouse on Route 4 into a data center. Prior to the meeting, Stevens told NHPR that the board would be learning more about the plan alongside the community.

“A preliminary conceptual consultation is very high-level in nature, and is focused on procedural aspects of a potential application,” Stevens said in an email.

The plan ignited statewide backlash, with a petition against it garnering more than 25,000 signatures as of Wednesday afternoon.

It cited concerns over water usage, energy costs, and noise pollution caused by a data center.

“The proposed site on Route 4 contains roughly 30 - 40 acres of wetlands, making development of this scale a major ecological concern,” it said. “Building a high-density complex here directly threatens the Lamprey River Watershed, a federally designated Wild and Scenic River system.”

Moulton notified the town of his withdrawal around 1:30 p.m.

Wednesday, via a letter sent by his lawyer. The letter said the proposal was being withdrawn to “allow the applicant to conduct additional research, further evaluate the property and the proposed use, and determine whether this is an appropriate use for this site.”

In an interview with NHPR, Moulton said there was misinformation about the plan on social media, so he wanted to return with more information before potentially reintroducing the project in the future.

“Before everybody jumps to conclusions, we want to address noise. We want to address water, we want to address air concerns of the environment,” he said. “And frankly, if we can't reasonably address these things to make everybody satisfied in the community, then we got to look and do something else. It's as simple as that.”

https://www.nhpr.org/nh-news/2026-05-27/nottingham-data-center-proposal-withdrawn-after-backlash

I've been testing OpenCode Go recently and thought this might be useful for anyone looking for an affordable AI coding subscription.

Current offer:

• $5 for the first month (normally $10/month)
• $10/month after that
• Use a referral link, and you also get $5 in usage credit

The service includes access to several coding-focused models, including:

• GLM-5.2
• DeepSeek V4 Pro & Flash
• Kimi K2.7 Code
• Qwen3.7 Max & Plus
• MiniMax M3
• MiMo-V2.5

I've mainly been using GLM-5.2, and on several real-world coding tasks, it has performed surprisingly well. I found it competitive with other top-tier coding models for debugging, code generation, and refactoring.

If you're already paying for multiple AI coding tools, this may be worth trying for a month.

Referral link (gives you $5 Bonus credit): https://opencode.ai/go?ref=GDF7QVV1DS

Has anyone else tried OpenCode Go? Which model has worked best for your coding workflow?