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AI datacenters create heat islands around them, paper finds
Researchers say localized warming can extend well past site edges, raising concerns about community impact Datacenters create heat islands that raise surrounding temperatures by several degrees at distances up to 10 km (over 6 miles), which could have an impact on surrounding communities. The findings come from a team at the University of Cambridge, which examined the heat dissipation of large server farms, given the proliferation of these sites due to the current AI mania. Their paper, which has yet to be peer-reviewed, claims that land surface temperatures surrounding datacenters were higher by between 0.3°C and 9.1°C (0.54°F and 16.38°F) after each facility started operations, with the average increase between 1.5°C and 2.4°C (2.7°F and 4.3°F). This effect can still be measured up to 10 km away, although the intensity is reduced by 30 percent at about 7 km (over 4 miles) away. An average monthly land surface temperature increase of 1°C (1.8°F) can be measured up to 4.5 km (about 3 miles) from a typical AI datacenter, and this is comparable to that observed for urban heat island effects, the paper claims. The paper notes that global server farm capacity is growing rapidly, meaning the industry is expected to be one of the most power-hungry sectors in the next decade, adding that power consumption for data processing has been estimated to exceed the amount required for manufacturing in three to five years. Register readers will know that spending on infrastructure by hyperscale operators has tripled over the past three years in response to the AI craze, with the volume of extra capacity added each quarter also increasing - it had risen by 170 percent by the end of last year. One upshot is that global electricity use by massive server farms is set to more than double by 2030, with AI named as the biggest driver. The paper goes on to say that it is therefore logical to expect that the impact of datacenters and AI hyperscaler activities on the environment "might not be negligible." In fact, these AI factories are, in the vast majority of cases, reliant on fossil fuels to generate their electricity. As a result, the steep growth of AI training and use for various applications would translate into a significant increase in emissions. In the US, for example, gas-fired power plant projects in development nearly tripled last year, and the demand for electricity for AI datacenters is leading to a resurgence in coal-fired power plants. Considering only the data heat island effect, the paper claims that up to 343 million people could be affected worldwide, so it may lead (like the urban heat island effect) to impacts on welfare, healthcare, and energy systems. However, the authors note that advances in technology could lessen the heat island effect, such as more energy-efficient electronics or computational methods that make AI training more efficient, reducing power consumption. The paper, "The data heat island effect: quantifying the impact of AI datacenters in a warming world," was highlighted by New Scientist. The magazine quotes Dr Andrea Marinoni, lead author on the paper, as saying the results were surprising and could become a big problem in future. "The message I would like to convey is to be careful about designing and developing datacenters," he told them. Omdia Senior Research Director for Enterprise Infrastructure Vlad Galabov commented that the work is a single, early analysis that has not yet been independently replicated or vetted through peer review, adding that its claims should be treated with caution. The study also looks at changes in land surface temperature (how hot roofs, tarmac and ground surfaces get in the sun), not the near‑surface air temperature that people actually experience, he told The Register. "The signal they see is therefore best understood as another example of the urban‑heat‑island effect from new large buildings, paved areas and associated infrastructure, rather than clear evidence that datacenter waste heat is dramatically warming whole neighborhoods." "Simple physics suggests that even very large datacenters contribute only a small additional heat flux when spread over kilometres, so most of the observed effect is likely driven by land‑use and surface‑cover changes, not by AI compute itself." ®
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Data Centers Causing Huge Temperature Spikes for Miles Around Them, Study Suggests
Can't-miss innovations from the bleeding edge of science and tech The data centers at the heart of the AI boom are producing so much heat that they're spiking land temperatures for miles around them by up to 16 degrees Fahrenheit, new research suggests. The effect is so pronounced that the researchers say they're creating entire "heat islands." The findings, detailed in a study that's yet-to-be-peer-reviewed, add to an already grim picture of the environmental impact of these sprawling facilities, the largest of which consume enough energy to power entire cities. Their commensurate greenhouse gas emissions, however, apparently aren't the only way data centers are heating up the world around them. The researchers focused on roughly 8,400 so-called "hyperscalers," the term used to describe data centers of incredible size that offer cloud computing and AI services. Their construction has surged in the past decade, and the AI boom has pushed their demand and scope to new heights; Meta's new "Hyperion" data center, for example, cost $27 billion to build and has an expected computing capacity of five gigawatts, an appetite that takes ten gas-powered plants to sate. Since temperature can be affected by other environmental factors, the researchers examined data centers in more remote locations. When they mapped their locations against regional temperature data over the past 20 years collected by satellites, a clear pattern emerged. Land surface temperatures, meaning the heat of the ground itself rather than the air or climate, increased by an average of 3.6 degrees Fahrenheit after a data center went online in an area -- and in the most extreme cases, the temperature surged by an extraordinary 16 degrees. The effects were local, but far reaching. The researchers found that the temperature increases were felt up to 6.2 miles away -- though they dropped off with distance -- in all affecting more than 340 million people. CNN's coverage notes that the trend held globally: Mexico's burgeoning data center hub in Bajio saw an uptick of around 3.6 degrees over the past 20 years, as did Aragon, Spain, itself a hot new hub for hyperscalers. Study lead author Andrea Marinoni, an associate professor with the Earth Observation group at the University of Cambridge, told CNN that data centers "could have dramatic impacts on society" in terms of the environment, people's welfare and the economy. Other experts were intrigued but cautious about the findings. Ralph Hintemann, a senior researcher at the Borderstep Institute for Innovation and Sustainability, called the figures "interesting" but "very high," underscoring the need to verify the results. The mechanism behind the heating also isn't immediately clear. "It would be worth doing follow-up research to understand to what extent it's the heat generated from computation versus the heat generated from the building itself," Chris Preist at the University of Bristol in the UK told New Scientist, suggesting that sunlight hitting the buildings could be producing the heating effect. This is part of a well-documented phenomenon researchers called the "urban heat island." Among other commentators, however, the temperature of response was much more heated. Andy Masley, a writer who frequently "debunks" claims of AI's environmental impact, called the paper the "single worst writing and research on AI and the environment that I have read" in a lengthy takedown, claiming that the heating effect from sunlight hitting the buildings was powerful enough to look like it was emanating from the ground in satellite data. (Part of his analysis relied on feeding the paper to Claude, however, so make of that what you will.) Whatever's going on, it'd be remiss to lose sight of the facilities' broader environmental impact. "As far as climate change is concerned, the emissions generated by power generation for data centres remain the more alarming aspect," Hintemann told CNN.
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AI datacenters are generating heat islands that raise surrounding land temperatures by up to 16°F at distances of 6 miles, according to new University of Cambridge research. The study examined 8,400 hyperscale facilities and found average temperature increases of 3.6°F after operations began, potentially affecting 343 million people worldwide. While the findings await peer review, experts debate whether the heating stems from datacenter waste heat or urban development effects.
AI datacenters are creating heat islands that raise land surface temperatures by several degrees at distances up to 10 km (over 6 miles), according to new research from the University of Cambridge
1
. The study, which has yet to undergo peer review, examined approximately 8,400 hyperscale data centers and found that land surface temperature increase ranged from 0.3°C to 9.1°C (0.54°F to 16.38°F) after each facility started operations2
. The average increase measured between 1.5°C and 2.4°C (2.7°F and 4.3°F), with the most extreme cases showing temperature surges of 16 degrees Fahrenheit2
.
Source: Futurism
The research focused on server farms in more remote locations to isolate the effect from other environmental factors. By mapping datacenter locations against regional temperature data collected by satellites over the past 20 years, researchers identified a clear pattern: localized land temperature increases consistently appeared after facilities went online
2
. An average monthly land surface temperature increase of 1°C (1.8°F) can be measured up to 4.5 km (about 3 miles) from a typical AI datacenter, comparable to urban heat island effects1
.The AI boom has driven unprecedented construction of these massive facilities, with Meta's new "Hyperion" datacenter alone costing $27 billion and requiring an expected computing capacity of five gigawatts—an appetite that takes ten gas-powered plants to satisfy
2
. Global server farm capacity is growing rapidly, with the industry expected to become one of the most power-hungry sectors in the next decade1
. Power consumption for data processing has been estimated to exceed the amount required for manufacturing in three to five years1
.Considering only the data heat island effect, up to 343 million people could be affected worldwide, potentially leading to impacts on welfare, healthcare, and energy systems
1
. The trend appears global: Mexico's burgeoning datacenter hub in Bajio saw an uptick of around 3.6 degrees over the past 20 years, as did Aragon, Spain, itself a hot new hub for hyperscalers2
. Andrea Marinoni, the study's lead author and an associate professor with the Earth Observation group at the University of Cambridge, told CNN that data centers "could have dramatic impacts on society" in terms of the environment, people's welfare and the economy2
.The mechanism behind the heating remains unclear, sparking debate among experts. The study examined changes in land surface temperature—how hot roofs, tarmac and ground surfaces get in the sun—rather than the near-surface air temperature that people actually experience
1
. Omdia Senior Research Director Vlad Galabov told The Register that the signal observed is "best understood as another example of the urban-heat-island effect from new large buildings, paved areas and associated infrastructure, rather than clear evidence that datacenter waste heat is dramatically warming whole neighborhoods"1
.Chris Preist at the University of Bristol suggested that sunlight hitting the buildings could be producing the heating effect, noting "it would be worth doing follow-up research to understand to what extent it's the heat generated from computation versus the heat generated from the building itself"
2
. Simple physics suggests that even very large datacenters contribute only a small additional heat flux when spread over kilometres, so most of the observed effect is likely driven by land-use changes and surface-cover changes, not by AI compute itself1
.Related Stories
Global electricity use by massive server farms is set to more than double by 2030, with AI named as the biggest driver
1
. In the vast majority of cases, these AI factories remain reliant on fossil fuels to generate their electricity1
. In the US, gas-fired power plant projects in development nearly tripled last year, and the demand for electricity for AI datacenters is leading to a resurgence in coal-fired power plants1
. The steep growth of AI training and use for various applications translates into a significant increase in greenhouse gas emissions1
.Ralph Hintemann, a senior researcher at the Borderstep Institute for Innovation and Sustainability, emphasized that "as far as climate change is concerned, the emissions generated by power generation for data centres remain the more alarming aspect"
2
. However, the authors note that advances in technology could lessen the heat island effect, such as more energy-efficient electronics or computational methods that make AI training more efficient, reducing power consumption1
. Marinoni told New Scientist that "the message I would like to convey is to be careful about designing and developing datacenters"1
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