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AI boom but healthcare, banking, government services, and other essential sectors. Reliable data center operation depends on effective cooling, which is already a major challenge as many methods require huge inputs of water or energy. To make matters worse, new research suggests that one of our cheapest, most efficient cooling strategies could stop working in a warmer world.

The findings, published Monday in the journal Scientific Reports, show that rising temperatures and humidity levels threaten the viability of direct air free cooling, an energy-efficient, waterless technique that pulls outside air in to cool data center servers. Over the past 45 years, weather conditions that limit direct air cooling have become significantly more common, particularly across the tropics and the southeastern United States, according to the study. As the global temperature continues to rise, this problem is only going to get worse.

“We found that periods of time when temperature and humidity exceed recommended operating thresholds for direct air free cooling are becoming more frequent and lasting longer in many regions,” lead author Christina Karamperidou, a professor of atmospheric sciences professor at the University of Hawaii at Mānoa, said in a statement. “This will reduce the availability of air free cooling for a growing number of data centers globally.”

Climate-driven cooling constraints

For direct air free cooling, the American Society of Heating, Refrigerating and Air-Conditioning Engineers recommends keeping the air entering a data center between 64 and 81 degrees Fahrenheit (18 and 27 degrees Celsius), with 10% to 70% relative humidity and a dew point below 59 degrees F (15 degrees C). Air that is hotter and more humid than this won’t cool the servers effectively and could corrode metal components.

To investigate how this cooling method will function in a warmer, wetter world, Karamperidou and her colleagues used a combination of high-resolution hourly weather observations, climate model simulations, and global records of data center locations. With this data, they evaluated how often environmental conditions exceeded recommended operating limits for direct air free cooling over the past 45 years and in future climate scenarios.

The researchers found that the prevalence of weather conditions that limit direct air free cooling has increased significantly in recent decades. Even regions that have only seen modest long-term increases in heat and humidity are experiencing longer daily exceedance events, and the share of data centers exposed to conditions that limit direct air free cooling availability for at least one quarter of the year is rising.

Interestingly, the findings suggest that the hottest, most humid days are intensifying faster than average days, indicating that environmental stress on direct air free cooling systems is become more and more concentrated in rare, highly consequential events.

“From an operational perspective, those worst-day conditions often drive contingency planning, system overrides, redundancy requirements, and reliability decisions,” Karamperidou said. “This suggests that infrastructure planning may need to account not only for average environmental conditions but also for how the most stressful days are changing over time.”

By 2050, the number of hours that exceed temperature and humidity limits for direct air free cooling is protected to increase under high greenhouse gas emissions scenarios, according to the researchers. In most regions globally, the average number of hours per day during which this cooling strategy is constrained increases by more than two hours per day, the findings show.

A troubling feedback loop

While this study focuses on how weather can influence data centers, it’s important to remember that data centers can influence local weather too. These facilities dissipate a lot of heat, and research has shown that they can actually create heat islands within a 6-mile radius of themselves.

Karamperidou and her colleagues did not account for this effect, so the direct air free cooling constraints they identified may be conservative, they write in their report. Still, they emphasize that their findings do not mean that this cooling strategy is necessarily infeasible in warm, humid regions. Rather, the study shows that the window of feasibility for direct air free cooling is narrowing due to climate change.

“Alternative strategies—including indirect evaporative cooling, liquid cooling, and hybrid architectures—can partially offset these constraints, albeit with distinct trade-offs in water use, system complexity, and operational design,” the researchers write.

Indeed, as one of the simplest, cheapest, and most efficient cooling strategies becomes increasingly unreliable, data center operators may be forced to turn to more energy- and water-intensive methods. This, in turn, could put added strain on electric grids and water resources that are themselves strained by climate change. Adapting data centers to a warming world without exacerbating the impacts of rising global temperatures will require innovative solutions.

#Cheapest #Cool #Data #Centers #Wont #Work #Warmer #WorldAI,data centers,extreme heat,Global warming"> The Cheapest Way to Cool Data Centers Won’t Work in a Warmer World 
                Like it or not, data centers are now intrinsic to our modern lives, supporting not just the AI boom but healthcare, banking, government services, and other essential sectors. Reliable data center operation depends on effective cooling, which is already a major challenge as many methods require huge inputs of water or energy. To make matters worse, new research suggests that one of our cheapest, most efficient cooling strategies could stop working in a warmer world. The findings, published Monday in the journal Scientific Reports, show that rising temperatures and humidity levels threaten the viability of direct air free cooling, an energy-efficient, waterless technique that pulls outside air in to cool data center servers. Over the past 45 years, weather conditions that limit direct air cooling have become significantly more common, particularly across the tropics and the southeastern United States, according to the study. As the global temperature continues to rise, this problem is only going to get worse. “We found that periods of time when temperature and humidity exceed recommended operating thresholds for direct air free cooling are becoming more frequent and lasting longer in many regions,” lead author Christina Karamperidou, a professor of atmospheric sciences professor at the University of Hawaii at Mānoa, said in a statement. “This will reduce the availability of air free cooling for a growing number of data centers globally.”

 Climate-driven cooling constraints For direct air free cooling, the American Society of Heating, Refrigerating and Air-Conditioning Engineers recommends keeping the air entering a data center between 64 and 81 degrees Fahrenheit (18 and 27 degrees Celsius), with 10% to 70% relative humidity and a dew point below 59 degrees F (15 degrees C). Air that is hotter and more humid than this won’t cool the servers effectively and could corrode metal components.

 To investigate how this cooling method will function in a warmer, wetter world, Karamperidou and her colleagues used a combination of high-resolution hourly weather observations, climate model simulations, and global records of data center locations. With this data, they evaluated how often environmental conditions exceeded recommended operating limits for direct air free cooling over the past 45 years and in future climate scenarios. The researchers found that the prevalence of weather conditions that limit direct air free cooling has increased significantly in recent decades. Even regions that have only seen modest long-term increases in heat and humidity are experiencing longer daily exceedance events, and the share of data centers exposed to conditions that limit direct air free cooling availability for at least one quarter of the year is rising.

 Interestingly, the findings suggest that the hottest, most humid days are intensifying faster than average days, indicating that environmental stress on direct air free cooling systems is become more and more concentrated in rare, highly consequential events. “From an operational perspective, those worst-day conditions often drive contingency planning, system overrides, redundancy requirements, and reliability decisions,” Karamperidou said. “This suggests that infrastructure planning may need to account not only for average environmental conditions but also for how the most stressful days are changing over time.” By 2050, the number of hours that exceed temperature and humidity limits for direct air free cooling is protected to increase under high greenhouse gas emissions scenarios, according to the researchers. In most regions globally, the average number of hours per day during which this cooling strategy is constrained increases by more than two hours per day, the findings show.

 A troubling feedback loop While this study focuses on how weather can influence data centers, it’s important to remember that data centers can influence local weather too. These facilities dissipate a lot of heat, and research has shown that they can actually create heat islands within a 6-mile radius of themselves. Karamperidou and her colleagues did not account for this effect, so the direct air free cooling constraints they identified may be conservative, they write in their report. Still, they emphasize that their findings do not mean that this cooling strategy is necessarily infeasible in warm, humid regions. Rather, the study shows that the window of feasibility for direct air free cooling is narrowing due to climate change.

 “Alternative strategies—including indirect evaporative cooling, liquid cooling, and hybrid architectures—can partially offset these constraints, albeit with distinct trade-offs in water use, system complexity, and operational design,” the researchers write. Indeed, as one of the simplest, cheapest, and most efficient cooling strategies becomes increasingly unreliable, data center operators may be forced to turn to more energy- and water-intensive methods. This, in turn, could put added strain on electric grids and water resources that are themselves strained by climate change. Adapting data centers to a warming world without exacerbating the impacts of rising global temperatures will require innovative solutions.      #Cheapest #Cool #Data #Centers #Wont #Work #Warmer #WorldAI,data centers,extreme heat,Global warming
Tech-news

AI boom but healthcare, banking, government services, and other essential sectors. Reliable data center operation depends on effective cooling, which is already a major challenge as many methods require huge inputs of water or energy. To make matters worse, new research suggests that one of our cheapest, most efficient cooling strategies could stop working in a warmer world.

The findings, published Monday in the journal Scientific Reports, show that rising temperatures and humidity levels threaten the viability of direct air free cooling, an energy-efficient, waterless technique that pulls outside air in to cool data center servers. Over the past 45 years, weather conditions that limit direct air cooling have become significantly more common, particularly across the tropics and the southeastern United States, according to the study. As the global temperature continues to rise, this problem is only going to get worse.

“We found that periods of time when temperature and humidity exceed recommended operating thresholds for direct air free cooling are becoming more frequent and lasting longer in many regions,” lead author Christina Karamperidou, a professor of atmospheric sciences professor at the University of Hawaii at Mānoa, said in a statement. “This will reduce the availability of air free cooling for a growing number of data centers globally.”

Climate-driven cooling constraints

For direct air free cooling, the American Society of Heating, Refrigerating and Air-Conditioning Engineers recommends keeping the air entering a data center between 64 and 81 degrees Fahrenheit (18 and 27 degrees Celsius), with 10% to 70% relative humidity and a dew point below 59 degrees F (15 degrees C). Air that is hotter and more humid than this won’t cool the servers effectively and could corrode metal components.

To investigate how this cooling method will function in a warmer, wetter world, Karamperidou and her colleagues used a combination of high-resolution hourly weather observations, climate model simulations, and global records of data center locations. With this data, they evaluated how often environmental conditions exceeded recommended operating limits for direct air free cooling over the past 45 years and in future climate scenarios.

The researchers found that the prevalence of weather conditions that limit direct air free cooling has increased significantly in recent decades. Even regions that have only seen modest long-term increases in heat and humidity are experiencing longer daily exceedance events, and the share of data centers exposed to conditions that limit direct air free cooling availability for at least one quarter of the year is rising.

Interestingly, the findings suggest that the hottest, most humid days are intensifying faster than average days, indicating that environmental stress on direct air free cooling systems is become more and more concentrated in rare, highly consequential events.

“From an operational perspective, those worst-day conditions often drive contingency planning, system overrides, redundancy requirements, and reliability decisions,” Karamperidou said. “This suggests that infrastructure planning may need to account not only for average environmental conditions but also for how the most stressful days are changing over time.”

By 2050, the number of hours that exceed temperature and humidity limits for direct air free cooling is protected to increase under high greenhouse gas emissions scenarios, according to the researchers. In most regions globally, the average number of hours per day during which this cooling strategy is constrained increases by more than two hours per day, the findings show.

A troubling feedback loop

While this study focuses on how weather can influence data centers, it’s important to remember that data centers can influence local weather too. These facilities dissipate a lot of heat, and research has shown that they can actually create heat islands within a 6-mile radius of themselves.

Karamperidou and her colleagues did not account for this effect, so the direct air free cooling constraints they identified may be conservative, they write in their report. Still, they emphasize that their findings do not mean that this cooling strategy is necessarily infeasible in warm, humid regions. Rather, the study shows that the window of feasibility for direct air free cooling is narrowing due to climate change.

“Alternative strategies—including indirect evaporative cooling, liquid cooling, and hybrid architectures—can partially offset these constraints, albeit with distinct trade-offs in water use, system complexity, and operational design,” the researchers write.

Indeed, as one of the simplest, cheapest, and most efficient cooling strategies becomes increasingly unreliable, data center operators may be forced to turn to more energy- and water-intensive methods. This, in turn, could put added strain on electric grids and water resources that are themselves strained by climate change. Adapting data centers to a warming world without exacerbating the impacts of rising global temperatures will require innovative solutions.

#Cheapest #Cool #Data #Centers #Wont #Work #Warmer #WorldAI,data centers,extreme heat,Global warming">The Cheapest Way to Cool Data Centers Won’t Work in a Warmer World The Cheapest Way to Cool Data Centers Won’t Work in a Warmer World 
                Like it or not, data centers are now intrinsic to our modern lives, supporting not just the AI boom but healthcare, banking, government services, and other essential sectors. Reliable data center operation depends on effective cooling, which is already a major challenge as many methods require huge inputs of water or energy. To make matters worse, new research suggests that one of our cheapest, most efficient cooling strategies could stop working in a warmer world. The findings, published Monday in the journal Scientific Reports, show that rising temperatures and humidity levels threaten the viability of direct air free cooling, an energy-efficient, waterless technique that pulls outside air in to cool data center servers. Over the past 45 years, weather conditions that limit direct air cooling have become significantly more common, particularly across the tropics and the southeastern United States, according to the study. As the global temperature continues to rise, this problem is only going to get worse. “We found that periods of time when temperature and humidity exceed recommended operating thresholds for direct air free cooling are becoming more frequent and lasting longer in many regions,” lead author Christina Karamperidou, a professor of atmospheric sciences professor at the University of Hawaii at Mānoa, said in a statement. “This will reduce the availability of air free cooling for a growing number of data centers globally.”

 Climate-driven cooling constraints For direct air free cooling, the American Society of Heating, Refrigerating and Air-Conditioning Engineers recommends keeping the air entering a data center between 64 and 81 degrees Fahrenheit (18 and 27 degrees Celsius), with 10% to 70% relative humidity and a dew point below 59 degrees F (15 degrees C). Air that is hotter and more humid than this won’t cool the servers effectively and could corrode metal components.

 To investigate how this cooling method will function in a warmer, wetter world, Karamperidou and her colleagues used a combination of high-resolution hourly weather observations, climate model simulations, and global records of data center locations. With this data, they evaluated how often environmental conditions exceeded recommended operating limits for direct air free cooling over the past 45 years and in future climate scenarios. The researchers found that the prevalence of weather conditions that limit direct air free cooling has increased significantly in recent decades. Even regions that have only seen modest long-term increases in heat and humidity are experiencing longer daily exceedance events, and the share of data centers exposed to conditions that limit direct air free cooling availability for at least one quarter of the year is rising.

 Interestingly, the findings suggest that the hottest, most humid days are intensifying faster than average days, indicating that environmental stress on direct air free cooling systems is become more and more concentrated in rare, highly consequential events. “From an operational perspective, those worst-day conditions often drive contingency planning, system overrides, redundancy requirements, and reliability decisions,” Karamperidou said. “This suggests that infrastructure planning may need to account not only for average environmental conditions but also for how the most stressful days are changing over time.” By 2050, the number of hours that exceed temperature and humidity limits for direct air free cooling is protected to increase under high greenhouse gas emissions scenarios, according to the researchers. In most regions globally, the average number of hours per day during which this cooling strategy is constrained increases by more than two hours per day, the findings show.

 A troubling feedback loop While this study focuses on how weather can influence data centers, it’s important to remember that data centers can influence local weather too. These facilities dissipate a lot of heat, and research has shown that they can actually create heat islands within a 6-mile radius of themselves. Karamperidou and her colleagues did not account for this effect, so the direct air free cooling constraints they identified may be conservative, they write in their report. Still, they emphasize that their findings do not mean that this cooling strategy is necessarily infeasible in warm, humid regions. Rather, the study shows that the window of feasibility for direct air free cooling is narrowing due to climate change.

 “Alternative strategies—including indirect evaporative cooling, liquid cooling, and hybrid architectures—can partially offset these constraints, albeit with distinct trade-offs in water use, system complexity, and operational design,” the researchers write. Indeed, as one of the simplest, cheapest, and most efficient cooling strategies becomes increasingly unreliable, data center operators may be forced to turn to more energy- and water-intensive methods. This, in turn, could put added strain on electric grids and water resources that are themselves strained by climate change. Adapting data centers to a warming world without exacerbating the impacts of rising global temperatures will require innovative solutions.      #Cheapest #Cool #Data #Centers #Wont #Work #Warmer #WorldAI,data centers,extreme heat,Global warming

Like it or not, data centers are now intrinsic to our modern lives, supporting not just the AI boom but healthcare, banking, government services, and other essential sectors. Reliable data center operation depends on effective cooling, which is already a major challenge as many methods require huge inputs of water or energy. To make matters worse, new research suggests that one of our cheapest, most efficient cooling strategies could stop working in a warmer world.

The findings, published Monday in the journal Scientific Reports, show that rising temperatures and humidity levels threaten the viability of direct air free cooling, an energy-efficient, waterless technique that pulls outside air in to cool data center servers. Over the past 45 years, weather conditions that limit direct air cooling have become significantly more common, particularly across the tropics and the southeastern United States, according to the study. As the global temperature continues to rise, this problem is only going to get worse.

“We found that periods of time when temperature and humidity exceed recommended operating thresholds for direct air free cooling are becoming more frequent and lasting longer in many regions,” lead author Christina Karamperidou, a professor of atmospheric sciences professor at the University of Hawaii at Mānoa, said in a statement. “This will reduce the availability of air free cooling for a growing number of data centers globally.”

Climate-driven cooling constraints

For direct air free cooling, the American Society of Heating, Refrigerating and Air-Conditioning Engineers recommends keeping the air entering a data center between 64 and 81 degrees Fahrenheit (18 and 27 degrees Celsius), with 10% to 70% relative humidity and a dew point below 59 degrees F (15 degrees C). Air that is hotter and more humid than this won’t cool the servers effectively and could corrode metal components.

To investigate how this cooling method will function in a warmer, wetter world, Karamperidou and her colleagues used a combination of high-resolution hourly weather observations, climate model simulations, and global records of data center locations. With this data, they evaluated how often environmental conditions exceeded recommended operating limits for direct air free cooling over the past 45 years and in future climate scenarios.

The researchers found that the prevalence of weather conditions that limit direct air free cooling has increased significantly in recent decades. Even regions that have only seen modest long-term increases in heat and humidity are experiencing longer daily exceedance events, and the share of data centers exposed to conditions that limit direct air free cooling availability for at least one quarter of the year is rising.

Interestingly, the findings suggest that the hottest, most humid days are intensifying faster than average days, indicating that environmental stress on direct air free cooling systems is become more and more concentrated in rare, highly consequential events.

“From an operational perspective, those worst-day conditions often drive contingency planning, system overrides, redundancy requirements, and reliability decisions,” Karamperidou said. “This suggests that infrastructure planning may need to account not only for average environmental conditions but also for how the most stressful days are changing over time.”

By 2050, the number of hours that exceed temperature and humidity limits for direct air free cooling is protected to increase under high greenhouse gas emissions scenarios, according to the researchers. In most regions globally, the average number of hours per day during which this cooling strategy is constrained increases by more than two hours per day, the findings show.

A troubling feedback loop

While this study focuses on how weather can influence data centers, it’s important to remember that data centers can influence local weather too. These facilities dissipate a lot of heat, and research has shown that they can actually create heat islands within a 6-mile radius of themselves.

Karamperidou and her colleagues did not account for this effect, so the direct air free cooling constraints they identified may be conservative, they write in their report. Still, they emphasize that their findings do not mean that this cooling strategy is necessarily infeasible in warm, humid regions. Rather, the study shows that the window of feasibility for direct air free cooling is narrowing due to climate change.

“Alternative strategies—including indirect evaporative cooling, liquid cooling, and hybrid architectures—can partially offset these constraints, albeit with distinct trade-offs in water use, system complexity, and operational design,” the researchers write.

Indeed, as one of the simplest, cheapest, and most efficient cooling strategies becomes increasingly unreliable, data center operators may be forced to turn to more energy- and water-intensive methods. This, in turn, could put added strain on electric grids and water resources that are themselves strained by climate change. Adapting data centers to a warming world without exacerbating the impacts of rising global temperatures will require innovative solutions.

#Cheapest #Cool #Data #Centers #Wont #Work #Warmer #WorldAI,data centers,extreme heat,Global warming

Like it or not, data centers are now intrinsic to our modern lives, supporting not…

played by Julia Roberts in a film dramatizing her legal case against Pacific Gas & Electric — recently launched a website with a map of data centers across the United States.

The website describes the map as “work in progress” that includes data centers reported by members of the surrounding community. In a Substack post, Brockovich said that after putting out a call for reports of data center-related issues in April, she received nearly 4,000 submissions in the first month alone.

“The single most common concern — more than noise, more than water usage, more than rising utility bills — is the one word that keeps appearing in submission after submission: transparency,” she wrote.

Brockovich added that she’s not making a “making a blanket argument against data centers” or AI, but rather against “the pattern our map documents: projects announced after permits are already secured, developers who don’t return calls, local officials who signed NDAs before their neighbors knew a project was being considered.”

#Erin #Brockovich #takes #aim #data #center #secrecy #TechCrunchdata centers,erin brockovich"> Erin Brockovich takes aim at data center secrecy | TechCrunch
Environmental activist Erin Brockovich has a new mission: Bringing more transparency to data center construction and the impact those data centers have on nearby communities.

Brockovich — who was famously played by Julia Roberts in a film dramatizing her legal case against Pacific Gas & Electric — recently launched a website with a map of data centers across the United States.







The website describes the map as “work in progress” that includes data centers reported by members of the surrounding community. In a Substack post, Brockovich said that after putting out a call for reports of data center-related issues in April, she received nearly 4,000 submissions in the first month alone.

“The single most common concern — more than noise, more than water usage, more than rising utility bills — is the one word that keeps appearing in submission after submission: transparency,” she wrote.

Brockovich added that she’s not making a “making a blanket argument against data centers” or AI, but rather against “the pattern our map documents: projects announced after permits are already secured, developers who don’t return calls, local officials who signed NDAs before their neighbors knew a project was being considered.”
#Erin #Brockovich #takes #aim #data #center #secrecy #TechCrunchdata centers,erin brockovich
Tech-news

played by Julia Roberts in a film dramatizing her legal case against Pacific Gas & Electric — recently launched a website with a map of data centers across the United States.

The website describes the map as “work in progress” that includes data centers reported by members of the surrounding community. In a Substack post, Brockovich said that after putting out a call for reports of data center-related issues in April, she received nearly 4,000 submissions in the first month alone.

“The single most common concern — more than noise, more than water usage, more than rising utility bills — is the one word that keeps appearing in submission after submission: transparency,” she wrote.

Brockovich added that she’s not making a “making a blanket argument against data centers” or AI, but rather against “the pattern our map documents: projects announced after permits are already secured, developers who don’t return calls, local officials who signed NDAs before their neighbors knew a project was being considered.”

#Erin #Brockovich #takes #aim #data #center #secrecy #TechCrunchdata centers,erin brockovich">Erin Brockovich takes aim at data center secrecy | TechCrunch

Environmental activist Erin Brockovich has a new mission: Bringing more transparency to data center construction and the impact those data centers have on nearby communities.

Brockovich — who was famously played by Julia Roberts in a film dramatizing her legal case against Pacific Gas & Electric — recently launched a website with a map of data centers across the United States.

The website describes the map as “work in progress” that includes data centers reported by members of the surrounding community. In a Substack post, Brockovich said that after putting out a call for reports of data center-related issues in April, she received nearly 4,000 submissions in the first month alone.

“The single most common concern — more than noise, more than water usage, more than rising utility bills — is the one word that keeps appearing in submission after submission: transparency,” she wrote.

Brockovich added that she’s not making a “making a blanket argument against data centers” or AI, but rather against “the pattern our map documents: projects announced after permits are already secured, developers who don’t return calls, local officials who signed NDAs before their neighbors knew a project was being considered.”

#Erin #Brockovich #takes #aim #data #center #secrecy #TechCrunchdata centers,erin brockovich

Environmental activist Erin Brockovich has a new mission: Bringing more transparency to data center construction…

according to Bloomberg the company is having internal discussions over its hourly clean energy matching goal.

The tech company has said that by 2030 it intends to match 100% of its hourly energy use with clean power on the same grid. But Microsoft’s rush to build AI data centers has apparently sparked debate within the company about whether the pledge has become an impediment to its ambitions.

Microsoft declined to comment on the internal debate over the hourly matching goal. Instead, a spokesperson told TechCrunch the company continues “to look for opportunities to maintain our annual matching goal.”

Hourly targets like the kind Microsoft has set for itself are more rigorous than annual targets. Because the grid is a balanced system — the supply and demand of electrons needs to be matched on a near-instantaneous basis — hourly matching helps develop clean energy sources that more closely align with a company’s usage patterns.

Annual targets are more lenient. They are effectively accounting tricks that could, for example, let a company buy more solar power than it might use at midday. Other customers on the grid use that energy, but the company that paid for the solar panels gets to claim the renewable power they make. It’s a tidy arrangement that has sped the deployment of wind, solar, and batteries. But on its own, annual targets won’t eliminate fossil fuels entirely. Hourly targets help foster renewable development that more closely mimics how a true net-zero world would be powered.

Big tech companies like Microsoft, Meta, Google, and Apple have generally led on emissions reductions, setting aggressive net-zero targets. Many have eliminated their carbon emissions on an annual basis. Microsoft, for instance, said it met that goal last year.

But as data centers grow in size and number, those same companies are turning to natural gas. Microsoft is included in that list; last month, the company said it was working with Chevron and Engine No. 1 to build a massive natural gas power plant in West Texas that could eventually generate up to 5 gigawatts. 

Techcrunch event

San Francisco, CA | October 13-15, 2026

Despite the West Texas project, Microsoft is widely viewed as a leader among tech companies pursuing net zero emissions. By 2030, Microsoft intends to remove more carbon from the atmosphere than its operations produce.

Part of the company’s renewable push has been driven by an internal carbon tax. The Microsoft spokesperson did not reply to questions about the company’s carbon tax. If it remains in place, some of the internal debate surrounding hourly matching might revolve around a cost-benefit analysis of the shift.

If Microsoft were to abandon its hourly-matching target, the company would also lose some leverage in efforts to sell the public on its on its data centers. 

As data centers have proliferated, the general public has begun to push back against them, citing concerns over pollution, power prices, and water use. When Microsoft brings its own clean power to a project, it can plausibly say it has addressed two of those concerns. Without it, new data centers might be harder to sell to the public.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Microsofts #data #center #push #colliding #clean #power #goals #TechCrunchdata centers,Microsoft,net zero,renewable energy"> Microsoft’s AI data center push is colliding with its clean power goals | TechCrunch
Microsoft is weighing whether to delay or scale back one of its most ambitious clean energy goals as its rapid buildout of AI data centers puts pressure on its ability to meet those targets. Microsoft has yet to make any public announcements, but according to Bloomberg the company is having internal discussions over its hourly clean energy matching goal. 

The tech company has said that by 2030 it intends to match 100% of its hourly energy use with clean power on the same grid. But Microsoft’s rush to build AI data centers has apparently sparked debate within the company about whether the pledge has become an impediment to its ambitions.







Microsoft declined to comment on the internal debate over the hourly matching goal. Instead, a spokesperson told TechCrunch the company continues “to look for opportunities to maintain our annual matching goal.”

Hourly targets like the kind Microsoft has set for itself are more rigorous than annual targets. Because the grid is a balanced system — the supply and demand of electrons needs to be matched on a near-instantaneous basis — hourly matching helps develop clean energy sources that more closely align with a company’s usage patterns.

Annual targets are more lenient. They are effectively accounting tricks that could, for example, let a company buy more solar power than it might use at midday. Other customers on the grid use that energy, but the company that paid for the solar panels gets to claim the renewable power they make. It’s a tidy arrangement that has sped the deployment of wind, solar, and batteries. But on its own, annual targets won’t eliminate fossil fuels entirely. Hourly targets help foster renewable development that more closely mimics how a true net-zero world would be powered.

Big tech companies like Microsoft, Meta, Google, and Apple have generally led on emissions reductions, setting aggressive net-zero targets. Many have eliminated their carbon emissions on an annual basis. Microsoft, for instance, said it met that goal last year.

But as data centers grow in size and number, those same companies are turning to natural gas. Microsoft is included in that list; last month, the company said it was working with Chevron and Engine No. 1 to build a massive natural gas power plant in West Texas that could eventually generate up to 5 gigawatts. 

	
		
		Techcrunch event
		
			
			
									San Francisco, CA
													|
													October 13-15, 2026
							
			
		
	


Despite the West Texas project, Microsoft is widely viewed as a leader among tech companies pursuing net zero emissions. By 2030, Microsoft intends to remove more carbon from the atmosphere than its operations produce.

Part of the company’s renewable push has been driven by an internal carbon tax. The Microsoft spokesperson did not reply to questions about the company’s carbon tax. If it remains in place, some of the internal debate surrounding hourly matching might revolve around a cost-benefit analysis of the shift. 

If Microsoft were to abandon its hourly-matching target, the company would also lose some leverage in efforts to sell the public on its on its data centers. 







As data centers have proliferated, the general public has begun to push back against them, citing concerns over pollution, power prices, and water use. When Microsoft brings its own clean power to a project, it can plausibly say it has addressed two of those concerns. Without it, new data centers might be harder to sell to the public.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Microsofts #data #center #push #colliding #clean #power #goals #TechCrunchdata centers,Microsoft,net zero,renewable energy
Tech-news

according to Bloomberg the company is having internal discussions over its hourly clean energy matching goal.

The tech company has said that by 2030 it intends to match 100% of its hourly energy use with clean power on the same grid. But Microsoft’s rush to build AI data centers has apparently sparked debate within the company about whether the pledge has become an impediment to its ambitions.

Microsoft declined to comment on the internal debate over the hourly matching goal. Instead, a spokesperson told TechCrunch the company continues “to look for opportunities to maintain our annual matching goal.”

Hourly targets like the kind Microsoft has set for itself are more rigorous than annual targets. Because the grid is a balanced system — the supply and demand of electrons needs to be matched on a near-instantaneous basis — hourly matching helps develop clean energy sources that more closely align with a company’s usage patterns.

Annual targets are more lenient. They are effectively accounting tricks that could, for example, let a company buy more solar power than it might use at midday. Other customers on the grid use that energy, but the company that paid for the solar panels gets to claim the renewable power they make. It’s a tidy arrangement that has sped the deployment of wind, solar, and batteries. But on its own, annual targets won’t eliminate fossil fuels entirely. Hourly targets help foster renewable development that more closely mimics how a true net-zero world would be powered.

Big tech companies like Microsoft, Meta, Google, and Apple have generally led on emissions reductions, setting aggressive net-zero targets. Many have eliminated their carbon emissions on an annual basis. Microsoft, for instance, said it met that goal last year.

But as data centers grow in size and number, those same companies are turning to natural gas. Microsoft is included in that list; last month, the company said it was working with Chevron and Engine No. 1 to build a massive natural gas power plant in West Texas that could eventually generate up to 5 gigawatts. 

Techcrunch event

San Francisco, CA | October 13-15, 2026

Despite the West Texas project, Microsoft is widely viewed as a leader among tech companies pursuing net zero emissions. By 2030, Microsoft intends to remove more carbon from the atmosphere than its operations produce.

Part of the company’s renewable push has been driven by an internal carbon tax. The Microsoft spokesperson did not reply to questions about the company’s carbon tax. If it remains in place, some of the internal debate surrounding hourly matching might revolve around a cost-benefit analysis of the shift.

If Microsoft were to abandon its hourly-matching target, the company would also lose some leverage in efforts to sell the public on its on its data centers. 

As data centers have proliferated, the general public has begun to push back against them, citing concerns over pollution, power prices, and water use. When Microsoft brings its own clean power to a project, it can plausibly say it has addressed two of those concerns. Without it, new data centers might be harder to sell to the public.

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#Microsofts #data #center #push #colliding #clean #power #goals #TechCrunchdata centers,Microsoft,net zero,renewable energy">Microsoft’s AI data center push is colliding with its clean power goals | TechCrunch

Microsoft is weighing whether to delay or scale back one of its most ambitious clean energy goals as its rapid buildout of AI data centers puts pressure on its ability to meet those targets. Microsoft has yet to make any public announcements, but according to Bloomberg the company is having internal discussions over its hourly clean energy matching goal.

The tech company has said that by 2030 it intends to match 100% of its hourly energy use with clean power on the same grid. But Microsoft’s rush to build AI data centers has apparently sparked debate within the company about whether the pledge has become an impediment to its ambitions.

Microsoft declined to comment on the internal debate over the hourly matching goal. Instead, a spokesperson told TechCrunch the company continues “to look for opportunities to maintain our annual matching goal.”

Hourly targets like the kind Microsoft has set for itself are more rigorous than annual targets. Because the grid is a balanced system — the supply and demand of electrons needs to be matched on a near-instantaneous basis — hourly matching helps develop clean energy sources that more closely align with a company’s usage patterns.

Annual targets are more lenient. They are effectively accounting tricks that could, for example, let a company buy more solar power than it might use at midday. Other customers on the grid use that energy, but the company that paid for the solar panels gets to claim the renewable power they make. It’s a tidy arrangement that has sped the deployment of wind, solar, and batteries. But on its own, annual targets won’t eliminate fossil fuels entirely. Hourly targets help foster renewable development that more closely mimics how a true net-zero world would be powered.

Big tech companies like Microsoft, Meta, Google, and Apple have generally led on emissions reductions, setting aggressive net-zero targets. Many have eliminated their carbon emissions on an annual basis. Microsoft, for instance, said it met that goal last year.

But as data centers grow in size and number, those same companies are turning to natural gas. Microsoft is included in that list; last month, the company said it was working with Chevron and Engine No. 1 to build a massive natural gas power plant in West Texas that could eventually generate up to 5 gigawatts. 

Techcrunch event

San Francisco, CA | October 13-15, 2026

Despite the West Texas project, Microsoft is widely viewed as a leader among tech companies pursuing net zero emissions. By 2030, Microsoft intends to remove more carbon from the atmosphere than its operations produce.

Part of the company’s renewable push has been driven by an internal carbon tax. The Microsoft spokesperson did not reply to questions about the company’s carbon tax. If it remains in place, some of the internal debate surrounding hourly matching might revolve around a cost-benefit analysis of the shift.

If Microsoft were to abandon its hourly-matching target, the company would also lose some leverage in efforts to sell the public on its on its data centers. 

As data centers have proliferated, the general public has begun to push back against them, citing concerns over pollution, power prices, and water use. When Microsoft brings its own clean power to a project, it can plausibly say it has addressed two of those concerns. Without it, new data centers might be harder to sell to the public.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Microsofts #data #center #push #colliding #clean #power #goals #TechCrunchdata centers,Microsoft,net zero,renewable energy

Microsoft is weighing whether to delay or scale back one of its most ambitious clean…

Anthropic, OpenAI, xAI, and data center companies like Singapore’s DayOne and CoreWeave.

It has launched a venture called Next Frontier to buy up land near large power sources with the goal of turning those parcels into data centers, the Wall Street Journal reports. Sources tell the WSJ that Next Frontier has already signed a joint venture with Fluidstack, a cloud infrastructure startup that penned a $50 billion deal to build data centers for Anthropic. (Coatue did not respond to a request for comment.)

Although the U.S. already has 3,000 data centers, more than 1,500 new ones are in various stages of being built, according to Pew Research, most of them in rural areas. The frenzy is enticing land speculation and data center financing projects from lots of players, ranging from Blackstone to Kevin O’Leary from “Shark Tank.”

.

#Coatue #plan #buy #land #data #centers #possibly #Anthropic #TechCrunchAnthropic,coatue,data centers,In Brief"> Coatue has a plan to buy up land for data centers, possibly for Anthropic | TechCrunch
Coatue, one of the biggest names in venture capital and hedge funds, has a new plan to generate bigger returns on AI beyond its sizable stakes in Anthropic, OpenAI, xAI, and data center companies like Singapore’s DayOne and CoreWeave.

It has launched a venture called Next Frontier to buy up land near large power sources with the goal of turning those parcels into data centers, the Wall Street Journal reports. Sources tell the WSJ that Next Frontier has already signed a joint venture with Fluidstack, a cloud infrastructure startup that penned a  billion deal to build data centers for Anthropic. (Coatue did not respond to a request for comment.)







Although the U.S. already has 3,000 data centers, more than 1,500 new ones are in various stages of being built, according to Pew Research, most of them in rural areas. The frenzy is enticing land speculation and data center financing projects from lots of players, ranging from Blackstone to Kevin O’Leary from “Shark Tank.”



.
#Coatue #plan #buy #land #data #centers #possibly #Anthropic #TechCrunchAnthropic,coatue,data centers,In Brief
Tech-news

Anthropic, OpenAI, xAI, and data center companies like Singapore’s DayOne and CoreWeave.

It has launched a venture called Next Frontier to buy up land near large power sources with the goal of turning those parcels into data centers, the Wall Street Journal reports. Sources tell the WSJ that Next Frontier has already signed a joint venture with Fluidstack, a cloud infrastructure startup that penned a $50 billion deal to build data centers for Anthropic. (Coatue did not respond to a request for comment.)

Although the U.S. already has 3,000 data centers, more than 1,500 new ones are in various stages of being built, according to Pew Research, most of them in rural areas. The frenzy is enticing land speculation and data center financing projects from lots of players, ranging from Blackstone to Kevin O’Leary from “Shark Tank.”

.

#Coatue #plan #buy #land #data #centers #possibly #Anthropic #TechCrunchAnthropic,coatue,data centers,In Brief">Coatue has a plan to buy up land for data centers, possibly for Anthropic | TechCrunch

Coatue, one of the biggest names in venture capital and hedge funds, has a new plan to generate bigger returns on AI beyond its sizable stakes in Anthropic, OpenAI, xAI, and data center companies like Singapore’s DayOne and CoreWeave.

It has launched a venture called Next Frontier to buy up land near large power sources with the goal of turning those parcels into data centers, the Wall Street Journal reports. Sources tell the WSJ that Next Frontier has already signed a joint venture with Fluidstack, a cloud infrastructure startup that penned a $50 billion deal to build data centers for Anthropic. (Coatue did not respond to a request for comment.)

Although the U.S. already has 3,000 data centers, more than 1,500 new ones are in various stages of being built, according to Pew Research, most of them in rural areas. The frenzy is enticing land speculation and data center financing projects from lots of players, ranging from Blackstone to Kevin O’Leary from “Shark Tank.”

.

#Coatue #plan #buy #land #data #centers #possibly #Anthropic #TechCrunchAnthropic,coatue,data centers,In Brief

Coatue, one of the biggest names in venture capital and hedge funds, has a new…

Bloomberg reports.

Should this deal come to fruition, it would more than double Fluidstack’s valuation in a matter of months.

In December, the company was reportedly raising around $700 million at a $7.5 billion valuation, sources told Bloomberg at the time, although it didn’t formally announce the close of that round. That round was said to be led by Situational Awareness, an AGI-focused fund founded by former OpenAI researcher Leopold Aschenbrenner, and backed by Stripe’s Collison brothers, former GitHub CEO Nat Friedman, and the AI investor and entrepreneur Daniel Gross.

Talks were apparently still ongoing for this round in February, at least with Google, which was considering kicking in $100 million to the round, The Wall Street Journal reported.

There’s good reason for the hype over Fluidstack. In November, Anthropic announced that it had signed a $50 billion deal with the startup to build data centers custom-designed for its needs in Texas and New York. Unlike hyperscalers like AWS, which serve all kinds of computing needs, Fluidstack’s infrastructure is built specifically for AI.

The deal was a huge vote of confidence for Fluidstack, a company that was relatively unknown in the U.S. Anthropic primarily uses AWS and Google Cloud to serve Claude (though it also has a partnership with Microsoft to supply Claude to that software giant’s customers). But just like rival OpenAI, Anthropic is growing so fast that it needs more capacity, and this deal gives Anthropic more control over its own cloud infrastructure.

This partnership is so significant to the startup that Fluidstack — which was spun out of Oxford and had been a rising star in Europe’s AI scene — relocated its headquarters from the U.K. to New York. Last month, it also pulled out of a key €10 billion AI project in France, Bloomberg reported, to focus on U.S. opportunities.

Techcrunch event

San Francisco, CA | October 13-15, 2026

In addition to Anthropic, it counts Meta, Poolside, Black Forest Labs, and others as customers. Prior to the deal with Anthropic, Fluidstack was probably best known for providing infrastructure to Mistral.

Fluidstack did not respond to a request for comment.

#data #center #startup #Fluidstack #talks #18B #valuation #months #hitting #7.5B #report #TechCrunchdata centers,fluidstack,neocloud"> Coatue has a plan to buy up land for data centers, possibly for Anthropic | TechCrunch
Coatue, one of the biggest names in venture capital and hedge funds, has a new plan to generate bigger returns on AI beyond its sizable stakes in Anthropic, OpenAI, xAI, and data center companies like Singapore’s DayOne and CoreWeave.

It has launched a venture called Next Frontier to buy up land near large power sources with the goal of turning those parcels into data centers, the Wall Street Journal reports. Sources tell the WSJ that Next Frontier has already signed a joint venture with Fluidstack, a cloud infrastructure startup that penned a  billion deal to build data centers for Anthropic. (Coatue did not respond to a request for comment.)







Although the U.S. already has 3,000 data centers, more than 1,500 new ones are in various stages of being built, according to Pew Research, most of them in rural areas. The frenzy is enticing land speculation and data center financing projects from lots of players, ranging from Blackstone to Kevin O’Leary from “Shark Tank.”



.
#Coatue #plan #buy #land #data #centers #possibly #Anthropic #TechCrunchAnthropic,coatue,data centers,In Brief
Tech-news

Bloomberg reports.

Should this deal come to fruition, it would more than double Fluidstack’s valuation in a matter of months.

In December, the company was reportedly raising around $700 million at a $7.5 billion valuation, sources told Bloomberg at the time, although it didn’t formally announce the close of that round. That round was said to be led by Situational Awareness, an AGI-focused fund founded by former OpenAI researcher Leopold Aschenbrenner, and backed by Stripe’s Collison brothers, former GitHub CEO Nat Friedman, and the AI investor and entrepreneur Daniel Gross.

Talks were apparently still ongoing for this round in February, at least with Google, which was considering kicking in $100 million to the round, The Wall Street Journal reported.

There’s good reason for the hype over Fluidstack. In November, Anthropic announced that it had signed a $50 billion deal with the startup to build data centers custom-designed for its needs in Texas and New York. Unlike hyperscalers like AWS, which serve all kinds of computing needs, Fluidstack’s infrastructure is built specifically for AI.

The deal was a huge vote of confidence for Fluidstack, a company that was relatively unknown in the U.S. Anthropic primarily uses AWS and Google Cloud to serve Claude (though it also has a partnership with Microsoft to supply Claude to that software giant’s customers). But just like rival OpenAI, Anthropic is growing so fast that it needs more capacity, and this deal gives Anthropic more control over its own cloud infrastructure.

This partnership is so significant to the startup that Fluidstack — which was spun out of Oxford and had been a rising star in Europe’s AI scene — relocated its headquarters from the U.K. to New York. Last month, it also pulled out of a key €10 billion AI project in France, Bloomberg reported, to focus on U.S. opportunities.

Techcrunch event

San Francisco, CA | October 13-15, 2026

In addition to Anthropic, it counts Meta, Poolside, Black Forest Labs, and others as customers. Prior to the deal with Anthropic, Fluidstack was probably best known for providing infrastructure to Mistral.

Fluidstack did not respond to a request for comment.

#data #center #startup #Fluidstack #talks #18B #valuation #months #hitting #7.5B #report #TechCrunchdata centers,fluidstack,neocloud">AI data center startup Fluidstack in talks for $1B round at $18B valuation months after hitting $7.5B, says report | TechCrunch

Fluidstack, a startup that builds specialized data centers for AI companies, is in talks to raise a $1 billion round at an $18 billion valuation, potentially led by Jane Street, Bloomberg reports.

Should this deal come to fruition, it would more than double Fluidstack’s valuation in a matter of months.

In December, the company was reportedly raising around $700 million at a $7.5 billion valuation, sources told Bloomberg at the time, although it didn’t formally announce the close of that round. That round was said to be led by Situational Awareness, an AGI-focused fund founded by former OpenAI researcher Leopold Aschenbrenner, and backed by Stripe’s Collison brothers, former GitHub CEO Nat Friedman, and the AI investor and entrepreneur Daniel Gross.

Talks were apparently still ongoing for this round in February, at least with Google, which was considering kicking in $100 million to the round, The Wall Street Journal reported.

There’s good reason for the hype over Fluidstack. In November, Anthropic announced that it had signed a $50 billion deal with the startup to build data centers custom-designed for its needs in Texas and New York. Unlike hyperscalers like AWS, which serve all kinds of computing needs, Fluidstack’s infrastructure is built specifically for AI.

The deal was a huge vote of confidence for Fluidstack, a company that was relatively unknown in the U.S. Anthropic primarily uses AWS and Google Cloud to serve Claude (though it also has a partnership with Microsoft to supply Claude to that software giant’s customers). But just like rival OpenAI, Anthropic is growing so fast that it needs more capacity, and this deal gives Anthropic more control over its own cloud infrastructure.

This partnership is so significant to the startup that Fluidstack — which was spun out of Oxford and had been a rising star in Europe’s AI scene — relocated its headquarters from the U.K. to New York. Last month, it also pulled out of a key €10 billion AI project in France, Bloomberg reported, to focus on U.S. opportunities.

Techcrunch event

San Francisco, CA | October 13-15, 2026

In addition to Anthropic, it counts Meta, Poolside, Black Forest Labs, and others as customers. Prior to the deal with Anthropic, Fluidstack was probably best known for providing infrastructure to Mistral.

Fluidstack did not respond to a request for comment.

#data #center #startup #Fluidstack #talks #18B #valuation #months #hitting #7.5B #report #TechCrunchdata centers,fluidstack,neocloud

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