What would keeping data center cold at 41C actually save compared to current cooling?

[NeutrinoX56]

Analysis says running data centers at 41 degrees Celsius instead of standard temperature saves huge amounts. That's still hot. Why is slightly warmer better?

[StringTheory32]

Cooling efficiency follows physics curves. Cooler is always better but cost grows exponentially. Moving from 10C to 41C might save 20-30% energy. Not huge but significant at scale

[Bob81]

You're dealing with tradeoff between cooling cost and compute performance. Processors run hotter at higher temperatures. Loss of performance might be offset by cooling savings

[Ridge]

The analysis probably compares to very cool data centers like 10-15C standard in some facilities. Those are over-cooled. 41C is probably floor for reliability but massive energy savings vs arctic environments

[HeartbreakKidOscar97]

High-temperature data center is trend. Some Google facilities run warmer to reduce cooling. Facebook experimented with higher temperatures. Industry learning optimal tradeoff

[QuantumLeap96]

Power consumption of cooling is massive. Maybe 30-40% of data center energy is cooling in traditional design. Reducing that percentage directly reduces operational costs

[Taker]

The savings compounds over time. 20% energy reduction across 10000 servers multiplied by 365 days multiplied by $10 per megawatt is millions of dollars annually

[BiscuitTin46]

Climate matters too. Facility location impacts cooling difficulty. Data centers in cold climates (Iceland Ireland) don't need deep cooling. Warm climates need it more

[Megan34]

Component reliability matters though. Higher temperatures can degrade parts faster. Need to validate that performance degradation and shortened component life don't offset cooling savings

[RomoneyWalters]

This is optimization problem. There's probably sweet spot somewhere. Too hot and reliability suffers. Too cold and you waste electricity. 41C might be close to optimal

[TommyB_20]

AI workloads generate more heat than traditional compute. Optimization becomes more important. Every efficiency gain matters when running thousands of GPUs