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Data Center News > Blog > Sustainability > Experts Discuss Data Center Sustainability, AI, Market Trends
Sustainability

Experts Discuss Data Center Sustainability, AI, Market Trends

Last updated: August 6, 2024 1:25 pm
Published August 6, 2024
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Experts Discuss Data Center Sustainability, AI, Market Trends
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At this 12 months’s Knowledge Middle World in Washington, DC, a big selection of important points took middle stage, from high-performance, cost-effective knowledge middle cooling to key sustainability challenges.

On the DCN information desk, analysts and specialists examined {hardware} limitations, rising alternatives, and main traits. A big focus was on AI’s twin function: driving excessive power demand whereas enabling knowledge facilities to optimize efficiency and effectivity.

The discussions additionally lined urgent traits such because the persistent lack of range, the rise of latest markets in Latin America and Asia-Pacific, and the potential functions of enormous language fashions (LLMs) on smartphones. Consultants emphasised AI’s explosive potential as a driving power behind these developments, with one researcher declaring: “There’s no query that that is the following industrial revolution.”

Watch every interview under to make amends for the newest knowledge middle business traits:

Liquid Cooling: Alternatives and Challenges

The largest problem dealing with knowledge facilities is the heavy calls for of generative AI, in response to Steve McDowell, chief analyst at NAND Analysis. Citing Nvidia’s high-performance Blackwell GPUs for example, McDowell laid out how new know-how requires extra energy and runs hotter than conventional processors. “I can solely put a couple of of these in a rack earlier than energy and warmth dissipation is an enormous drawback,” he stated.

Associated:In Footage: Knowledge Middle World 2024

The reply, the analyst stated, is liquid cooling. However the lack of standardization in efficiency, high quality, and prices of liquid cooling injects anxiousness and uncertainty into the business, McDowell stated, evaluating the liquid cooling market to “VHS versus Betamax.”

Nonetheless, {hardware} is just half the AI equation, he added, detailing how the functions of AI can optimize effectivity. “We speak loads about generative AI proper now, however actually there’s extra conventional AI methods round causal AI, round predictive AI and predictive analytics. These are the applied sciences which can be getting used to construct intelligence into knowledge facilities that then helps to regulate the sustainability piece.”

Will Generative AI Be As Transformative As The Printing Press?

“There’s no query that that is the following industrial revolution,” stated an optimistic Vlad Galabov, analysis director at Omdia, about AI’s capability to considerably enhance productiveness. One fascinating use case is Intel, TSMC, and Nvidia’s plan to run a semiconductor inside a digital twin. Calling the semiconductor business a trial-and-error enterprise, Galabov outlined how generative AI can permit these corporations to check potential disruptions and challenges when making a manufacturing unit, after which use predictive AI as they analyze their findings. “I believe it’s so attention-grabbing … utilizing a number of AI methods on the similar time.”

See also  Market challenges rise by over a third as data centres battle mounting pressure

Associated:Knowledge Middle Building Traits: Construct Quick, Construct Sensible

Chatting with the problem of energy capability, Galabov outlined the evolution of information middle servers away from general-purpose design and in direction of being application-specific. Utilizing YouTube for example, Galabov described how constructing processors for video encoding into their servers elevated effectivity. “The dramatic change that may occur is… you find yourself [replacing] a number of present servers with one.” An analogous consolidation is going on in IT, Galabov stated, pointing to the scaling of CPUs in Intel cores.

Variety is a Central Problem within the ‘Human Provide Chain’

Have knowledge facilities turn out to be extra subtle in recruiting numerous candidates? “Fairly frankly, no,” stated principal and CTO of StrategITcom Carrie Goetz, describing a failure to succeed in new expertise as a “very massive self-inflicted wound.” Goetz, who printed a best-selling e book on range in knowledge facilities, referred to as for brand spanking new methods to draw candidates, in addition to extra apprenticeships and packages to assist people who find themselves new to the business. “We now have 300,000 open jobs that must be crammed by subsequent 12 months, and also you ask these corporations, and most of them will let you know that they’re having issues hiring expertise… HR is doing precisely the identical factor they’ve all the time accomplished.”

Associated:Energy Is Key to Unlocking AI Knowledge Middle Progress

Making the case for a extra inclusive business, Goetz referred to as knowledge facilities welcoming to each commerce, in addition to a spot for collaborative studying. “Curriculum can’t sustain with the business. We now have to study from one another.” The best candidates for knowledge facilities, Goetz stated, are lifelong learners from all types of backgrounds and views. “There’s a spot for everyone – we simply want to ensure everyone is aware of they’ve a spot.”

Rising Markets Attempt to Maintain Tempo with AI’s Surge

As AI drives elevated energy demand globally, new markets are rising to fulfill these wants, stated Perkins Liu, senior analysis analyst on the Knowledge Middle Providers and Infrastructure staff of 451 Analysis, pointing specifically to markets in Vietnam, the Philippines, and Europe. Liu’s analysis staff has tracked the “hockey stick” of demand during the last 12-18 months.

The dialog round how knowledge facilities can sustain with this development has modified, stated Liu, describing the emphasis on liquid cooling. “Final 12 months folks have been nonetheless evaluating the professionals and cons between air cooling and liquid cooling, however this 12 months it’s extra about how and when [with] liquid cooling.” Liu additionally famous a extra distinguished effort to take a look at various power sources to assist remedy the power calls for. “Sustainability shouldn’t be a siloed effort by itself, it is going to be coupled with different enhancements.”

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Sustainability Is a International Knowledge Middle Concern

“Sustainability is a subject that just about bubbles beneath with out being stated,” famous Omdia chief analyst Roy Illsley, describing essentially the most urgent questions on the minds of information middle professionals. “They know we’ve received to vary… and it’s [a question of] how they’ll do it in a different way and understanding the impression of that change.” What’s the nature of that change? Consistent with a number of different analysts, Illsley pointed to the overwhelming curiosity in liquid cooling, in addition to the methods knowledge middle operators are making use of AI methods to enhance effectivity and predict when a failure could also be doubtless.

One other pattern on Illsley’s radar is the significance of sovereign cloud, notably in Europe and nations within the Center East and Africa. Illsley stated this was a response to the dominance of US and Chinese language cloud suppliers. “The European market may be very centered on the sovereignty facets of how they’ll adjust to the privateness legal guidelines and the completely different nation legal guidelines.”

In Latin America, a Development Towards Bigger Knowledge Facilities

Requested concerning the rising market in Latin America, researcher at Omdia Aaron Lewis described a big capital push to seize anticipated development. “The present ecosystem principally contains small to midsize knowledge facilities. However should you have a look at the tasks which can be presently being constructed… a lot of them are very massive knowledge facilities,” Lewis stated, referencing a brand new development by Cloud HQ in Sao Paolo, which sits round 1.6 million sq. ft. The timeframe for these tasks fluctuate, Lewis stated – a big knowledge middle deliberate by Cloud HQ in Mexico hasn’t damaged floor and it’s tough to exactly predict when new large-scale knowledge facilities will break floor. “However what we will verify is that this progress is going on at a really speedy tempo, and it’s more likely to proceed this fashion so long as demand is excessive,” stated Lewis.

Trying Forward: The Functionality of LLM’s On Your Smartphone

“How will we get these massive language fashions sufficiently small to run on our smartphones?” It is a query all the most important smartphone producers are asking, stated Michael Azoff, senior principal analyst at Omdia. That’s fascinating partly as a result of at that scale, LLMs are cheaper to coach, and due to this know-how’s many potential use instances. One instance Azoff cited was the impression LLM’s might need on cars. “Some years in the past, there was lots of discuss autonomous driving. That’s gone slightly bit quiet as a result of they’re actually struggling. However I believe there’ll be a case for big language fashions… as a result of they’ve proven they’ll do logical reasoning. And that’s one thing I believe could be actually priceless in cars.”

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Don’t Neglect About Air Cooling

Principal Analyst at Omdia Shen Wang stated that with out cooling, knowledge facilities received’t be capable to have the AI capability they want, and received’t be capable to develop their capability sooner or later. “We now have to take an entire relook at AI applied sciences and contemplate what’s the greatest answer at this stage by way of price [and] by way of efficiency.” Whereas liquid cooling is the fastest-growing cooling know-how, Wang made the case for air cooling as nicely. “Air cooling shouldn’t be previous tech. There are nonetheless many… modern approaches, and you may nonetheless use that for present knowledge facilities, even the very superior GPU-based AI knowledge facilities.” Completely different approaches are crucial, Wang stated, for various markets: one for retrofitting present designs – and maximizing the effectivity of air cooling units – and one for brand spanking new designs.

Cloud and Knowledge Middle Developments in Asia-Pacific

Whereas there have been main expansions within the knowledge middle market in North America and Western Europe, South Asia and India are quickly rising markets, in response to Omdia analyst Siraj Aziz. Past the top-tier market of Singapore, Aziz highlighted Malaysia, Indonesia, and the Philippines as areas with new hyperscalers and colocation suppliers. “By way of scale, Princeton Digital Group, a Singaporean digital infrastructure supplier, goes all out in Johor.” What makes the Malaysian market fascinating, Aziz stated, is the comparatively low price, reliability, and authorities help for brand spanking new knowledge facilities. “We’re seeing these three elements – energy, reliability, land, and authorities help to be the dominant elements that really drive knowledge middle improvement.”



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Contents
Liquid Cooling: Alternatives and ChallengesWill Generative AI Be As Transformative As The Printing Press?Variety is a Central Problem within the ‘Human Provide Chain’Rising Markets Attempt to Maintain Tempo with AI’s SurgeSustainability Is a International Knowledge Middle ConcernIn Latin America, a Development Towards Bigger Knowledge FacilitiesTrying Forward: The Functionality of LLM’s On Your SmartphoneDon’t Neglect About Air CoolingCloud and Knowledge Middle Developments in Asia-Pacific
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