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Data Center News > Blog > Design > The Dual Influence of AI on Data Center Power and Sustainability | DCN
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The Dual Influence of AI on Data Center Power and Sustainability | DCN

Last updated: March 19, 2024 6:06 pm
Published March 19, 2024
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Information facilities face escalating challenges in managing energy and bettering vitality effectively. The surge in AI-driven workloads has intensified the pressure on knowledge heart assets, exacerbating considerations about vitality consumption and environmental sustainability. In actual fact, in a January 2024 report, the Worldwide Power Company forecasted that knowledge facilities globally could greater than double their electrical consumption by 2026.

The basic shift that AI will play in knowledge facilities can’t be overstated. The 2024 AFCOM State of the Information Middle Report notes that: “Synthetic intelligence is a big driver in how we might be constructing amenities shifting ahead. Merely put, each knowledge heart will turn into an AI knowledge heart… This transformation occurred so quick that many hardly observed. However this variation is right here, and it’ll impression your amenities.”

Associated: AFCOM: AI Increase Fueling Information Middle Building, Design Innovation

Ali Fenn, the president of Lancium and keynote speaker on the forthcoming Information Middle World 2024, harbors a profound optimism for the function of AI in revolutionizing the information heart business, whereas additionally recognizing the formidable challenges that should be navigated on the trail to progress. “AI has for a few years been driving effectivity features through things like forecasting load shapes, climate, corresponding cooling demand… and tuning workloads and MEP programs to advance each price and local weather objectives,” explains Fenn, who was recently featured within the New York Instances.

“I feel the subsequent section isn’t just run time course of effectivity, but in addition the truth that AI is now serving to to allow extra elementary breakthroughs, equivalent to through the invention of latest supplies that will, in flip, catalyze innovation in battery know-how, therefore vitality storage and the acceleration of larger renewable vitality.”

Associated: US Power Specialists to Current Newest Insights at Information Middle World 2024

Fenn goes on to notice that probably the most important alternatives for AI within the knowledge heart business lies on the intersection of information facilities and the grid. “The speedy progress of information heart demand and the emergence of large-scale, gigawatt-scale knowledge facilities presents new challenges for grid operators,” explains Fenn. “At Lancium, we concentrate on growing AI-driven energy orchestration and optimization know-how to supply grid reliability and guarantee workload reliability for each knowledge facilities and their prospects, with SLAs that prioritize each reliability and carbon-free vitality.”

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Regardless of the various challenges dealing with knowledge facilities, Lancium President Ali Fenn is optimistic concerning the business’s potential to innovate and adapt to fulfill evolving calls for

AI and the Way forward for Information Middle Effectivity

Vance Peterson, a Answer Architect at Schneider Electrical, additional underscores the profound impression AI can have on knowledge heart operations, significantly in optimizing vitality utilization and lowering carbon emissions.

“AI’s predictive capabilities can considerably contribute to the discount of vitality consumption and carbon emissions by offering insights into knowledge heart operations in relation to varied exterior components, equivalent to real-time carbon content material of utility provide, capability of DERs contemplating climate situations, and extra,” says Peterson. “This may increasingly allow the information heart business to optimize cooling programs, facilitate predictive upkeep versus preventative upkeep, and dynamically regulate energy utilization based mostly on workload precedence.

“By means of analyzing knowledge patterns, AI can anticipate cooling necessities, optimize airflow, and determine alternatives for vitality financial savings, thereby lowering total vitality consumption and carbon emissions. This proactive method will assist improve effectivity and sustainability in knowledge heart operations.”

Certainly, the State of the Information Middle report identifies points equivalent to limitations in energy and cooling, infrastructure vulnerabilities and elevated carbon emissions as vital considerations that should be addressed to boost sustainability all through the sector. “Our sector’s enlargement and demanding function, together with its substantial vitality wants, have necessitated a heightened emphasis on sustainable practices and the exploration of renewable vitality sources… Three in 4 respondents (72%) plan to make the most of renewable vitality, together with 27% who’re at present doing so.”

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Shaolei Ren, Affiliate Professor of Electrical and Pc Engineering on the College of California, Riverside, shares Fenn and Peterson’s optimism concerning the potential of AI to enhance vitality effectivity. “AI can supply extra exact configuration of the cooling system operation based mostly on real-time demand, and AI can even assist predict the facility utilization effectiveness by providing exact configuration of cooling programs and predicting energy utilization effectiveness,” Ren instructed DCN.

Nonetheless, Ren additionally acknowledges the constraints of present AI fashions, noting that they could not all the time present correct predictions, necessitating safeguard mechanisms.

Challenges in AI-Pushed Sustainability

Ren additional notes {that a} main concern is the challenges concerned in measuring and reporting the environmental impression of AI, significantly when it comes to carbon emissions and water consumption. The dearth of uniform requirements for reporting water consumption poses further complexities, making it troublesome to precisely assess the environmental impression of AI applied sciences in knowledge facilities. “Whereas knowledge facilities routinely report their total vitality/carbon/water utilization, we regularly lack a fine-grained measurement of the environmental impression of AI. What makes the issue much more difficult is that not all AI fashions are operating as a standalone service. Some AI fashions are simply used as a part of one other service (e.g., AI fashions are utilized in suggestion engines), so it is non-trivial to precisely get the environmental impression of particular AI fashions.”

Peterson likewise emphasizes the twin nature of AI’s affect, highlighting its capability to optimize vitality utilization whereas additionally acknowledging considerations concerning elevated vitality consumption.

“Some folks within the business predict that accelerated computing, which is the ‘enabler’ of the AI revolution, will enable us to do extra with much less because it pertains to knowledge heart infrastructure,” Peterson mentioned. “Whereas accelerated compute will improve particular person rack density, the general variety of racks inside an information heart could lower considerably. In different phrases, accelerated computing could enable us to do extra with much less. Total, it’s important to think about the broader impression of AI on vitality consumption and the setting whereas striving to leverage its capabilities for sustainable options.”

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Hovering Demand

Fenn additionally notes that projections concerning knowledge heart vitality demand and the “electrify every little thing” pattern range. She does, nonetheless, consider that one factor is for certain: demand is growing at a sooner tempo and to greater ranges than anybody beforehand anticipated.

“The basic query is: can renewable technology come on-line in the best locations, on the best timelines, and may storage scale cost-effectively to clean the intermittency of renewable sources?” asks Fenn.

“If sure, emissions will be held fixed and proceed the constructive trajectory of current years. This must be our collective business purpose, and it’s potential. It requires taking an energy-first method to knowledge heart siting, and having an urge for food for the chance tied to innovation in workload flexibility. It’s our collective crucial to do that the best method utilizing the a number of instruments we now have at our disposal.”

Total, regardless of the various challenges dealing with knowledge facilities with the arrival of AI, Fenn is optimistic. “I’m a agency believer that AI is a internet constructive for the world, and that is probably the most thrilling time to be alive, however it’s incumbent upon us as knowledge heart business leaders, to make it possible for we, the gateway to the AI alternative, ship it responsibly.”

 

Fenn is because of sort out the important thing difficulty of information heart energy and AI throughout her keynote speech at this yr’s Data Center World.

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Contents
AI and the Way forward for Information Middle EffectivityChallenges in AI-Pushed SustainabilityHovering Demand
TAGGED: Center, data, DCN, Dual, Influence, Power, Sustainability
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