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Data Center News > Blog > Cloud Computing > Hyperscalers in 2024: Where Next For the World’s Biggest Data Centers? | DCN
Cloud Computing

Hyperscalers in 2024: Where Next For the World’s Biggest Data Centers? | DCN

Last updated: February 28, 2024 3:38 pm
Published February 28, 2024
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Hyperscale cloud knowledge facilities are the spine of the digital financial system and are rising at a fast tempo, with new services being introduced alongside persevering with sustainability and technological developments.

As we navigate by 2024, the world’s largest hyperscale knowledge middle operators proceed to broaden their footprint, pushed by the ever-increasing demand. Among the many massive gamers, Meta, Microsoft, Google, and Amazon in addition to Oracle and Akamai have been very energetic within the early months of 2024, with massive plans for the months and years forward.

Associated: Might AI Factories for a Single Tenant be the Newest Knowledge Middle Pattern?

Synergy Analysis Group has forecast that over the subsequent six years, the typical capability of hyperscale knowledge facilities might be greater than double that of present operational hyperscale services. Bulletins in early 2024 are already displaying a robust progress development.

State of Play: Hyperscale Knowledge Middle Tasks Underway in 2024

Amazon Internet Providers (AWS) has introduced plans to speculate $10 billion to construct two knowledge middle complexes in Mississippi. Current AWS knowledge facilities are rising with plans for 12 extra Availability Zones and 4 extra AWS areas in Germany, Malaysia, New Zealand, and Thailand.

Associated: The Professionals and Cons of Wind Energy for Knowledge Middle Sustainability

Meta plans to construct an $800 million knowledge middle campus in Jeffersonville, Indiana. This facility would be the Fb guardian firm’s 18th knowledge middle within the US and twenty second globally. Meta can also be within the technique of redesigning knowledge facilities in Kuna, Idaho, and Temple, Texas for the rising wants of synthetic intelligence (AI).

Microsoft has dedicated to investing €3.2 billion ($3.4 billion) to double its AI infrastructure and cloud computing capability in Germany. This enlargement will deal with the prevailing cloud area in Frankfurt and a newly deliberate infrastructure in North Rhine-Westphalia.

Google proprietor Alphabet has introduced important investments in increasing its knowledge middle infrastructure to satisfy the rising demand for its companies. Among the many most notable bulletins up to now is the funding in a brand new knowledge middle set to be positioned at Waltham Cross, north of London within the UK.

“Hyperscalers in 2024 have gotten more and more selective about new knowledge middle areas, as new components rise in significance,” Gartner analyst David Wright, advised DCN.

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A Meta knowledge middle beneath building in Mesa, Arizona (December 2023)

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AI is Altering the Panorama for Hyperscale Knowledge Facilities

As buildouts proceed, Wright mentioned that suppliers should now take into account the power of an information middle’s surrounding power grid to help a steep enhance in AI-related workloads.  

“By way of the make-up of hyperscaler knowledge facilities in 2024, we see an accelerating buildup of AI-related infrastructure,” Wright mentioned. “Hyperscalers usually account for round 40% of total server market volumes. Gartner believes hyperscalers and different service suppliers will account for 76% of AI server models in 2024.”

Beatriz Valle, Senior Analyst, Enterprise Know-how and Providers at GlobalData, advised DCN that the generative AI revolution helps to speed up {hardware} and knowledge middle design.

“AI compute wants will develop dramatically over the subsequent decade as AI analysis grows exponentially,” Valle mentioned. She added that AI is driving necessities for greater server densities inside hyperscaler knowledge facilities in addition to particular configurations of {hardware} and software program to achieve optimum efficiency.

Steven Dickens, VP and Observe Chief, at The Futurum Group, additionally sees AI as a defining attribute for hyperscale knowledge middle operations in 2024 which generally consists of large-scale deployment of  Graphics Processing Items (GPUs). He famous that power-hungry and heat-producing GPUs will place distinctive challenges on the already overburdened energy and cooling methods of many knowledge facilities.

“In 2024, the worldwide course for knowledge middle operations is marked by a major shift in direction of AI integration into the Ops operate and the strategic deployment of GPUs at scale,” Dickens advised DCN. “These developments underscore the trade’s response to the growing demand for computational energy and the crucial for sustainable operations.”

The Hyperscale Path to Knowledge Middle Sustainability

Balancing the necessity for progress with sustainability can also be high of thoughts for hyperscale knowledge middle operations.

Wright commented that environmental sustainability is a key focus of the hyperscalers of their 2024 knowledge middle technique. He famous that influential prospects in regulated industries are seeing stricter local weather threat disclosure legal guidelines coming within the US and Europe. These prospects are pressuring the hyperscalers for extra effectivity and transparency.

“In 2024 we additionally count on the suppliers to considerably enhance their power consumption telemetry and reporting, to assist prospects assessment and management their carbon footprint,” Wright mentioned.

See also  Microsoft, Meta, Google Launch New AI Connectivity Standard for Data Centers

All the foremost hyperscale knowledge middle operators have some type of sustainability pledge and course to optimize power consumption and be extra inexperienced.

“The expansion of our cloud infrastructure presents an necessary problem: scaling the cloud’s computing energy to satisfy buyer demand whereas additionally decreasing the environmental influence of cloud services,” Noelle Walsh, CVP Cloud Operations and Innovation at Microsoft, advised DCN.

“When prospects use companies powered by Microsoft knowledge facilities, they’ll achieve this with the information that we’re driving ahead on our sustainability targets to be carbon adverse, water constructive, and 0 waste by 2030.”

Oracle is much more aggressive than Microsoft in the case of its sustainability pledges.

“Oracle is dedicated to matching all worldwide Oracle Cloud Areas with 100% renewable power by 2025,” Leo Leung, Vice President of OCI and Oracle Know-how, advised DCN.

Leung famous that many Oracle Cloud Areas are already powered by 100% renewable power, which allows organizations to run their computing companies extra sustainably and with a decrease carbon footprint. To additional advance its dedication to sustainable operations, Oracle and its asset restoration companions recycled 99.7% of retired {hardware} they collected in 2023.

Google can also be aggressively constructing out its knowledge facilities with an eye fixed towards sustainability. Thus far in 2024, Google has introduced knowledge middle improvement plans in Fort Wayne, Indiana within the US and Waltham’s Cross within the UK. Google additionally has  introduced power purchase agreements in EMEA for greater than 700 MW of unpolluted power – together with its largest offshore wind initiatives up to now within the Netherlands.

“We stay dedicated to water stewardship in our knowledge middle communities as we develop our capability, a Google spokesperson advised DCN. “Late final yr, constructing on our climate-conscious approach to knowledge middle cooling, we launched our new water risk framework to extra exactly consider the well being of a local people’s watershed and set up a data-driven strategy to advancing accountable water use in our knowledge facilities.”

Drone shot of a Google data center under construction in Winschoten, Netherlands (December 2023)

Drone shot of a Google knowledge middle beneath building in Winschoten, Netherlands (December 2023)

What’s Driving Hyperscaler Knowledge Middle Buildouts?

There appears to be no finish in sight to the demand for hyperscale knowledge middle operations.

Dell’Oro analyst Baron Fung has recognized 4 key the reason why hyperscale cloud and colocation service suppliers are in a race to construct newer and extra services globally.

See also  IBM moves to buy Confluent in an $11 billion cloud and AI deal

AI: New knowledge facilities will should be constructed from the bottom up (relatively than retrofitted) to be AI-ready, because the infrastructure has distinctive cooling and energy necessities. What we’re seeing is that the service suppliers are constructing new AI-ready knowledge facilities alongside current services. As soon as the brand new ones are prepared, the outdated ones may very well be decommissioned.

Redundancy and resilience: Service suppliers are all the time including new knowledge middle footprint even in current areas in service. There are a number of causes: 1) including extra redundancy in a service area to reduce downtime. 2) Add new capability relying on utilization metrics. 3) Knowledge facilities usually have a lifespan of 15 years. Given cloud computing began to emerge round 10-15 years, it’s time for a refresh.

Edge companies: Fung famous that the expectations for service suppliers to roll out extra edge-based companies, to help use instances surrounding IoT, sensible manufacturing, autonomous driving and sensible retail. Smaller and extra quite a few knowledge facilities will should be distributed near the sting the place the machines and sensors are. Thus, we may see greenfield investments in knowledge facilities on the edge.

Knowledge sovereignty: The cloud service suppliers are additionally increasing companies and capability in new areas. It’s important for efficiency and knowledge sovereignty necessities to have the info positioned near customers. Whereas North America and Europe are fairly nicely saturated by way of service protection, there are rising alternatives in APAC and Latin America.

The problem of knowledge sovereignty is all about location, which has all the time been necessary for hyperscale knowledge middle operators. The nearer an information middle is to an finish consumer, the decrease the latency. In 2024 the difficulty of sovereignty is especially necessary in Europe in line with Garner analyst Wright.

“Suppliers are additionally paying extra consideration to knowledge sovereignty rules in key markets,” Wright mentioned. “They need to assist their Monetary Providers prospects in Europe, particularly, plan for the Digital Operational Resilience Act (DORA), scheduled to enter impact in 2025.”

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Contents
State of Play: Hyperscale Knowledge Middle Tasks Underway in 2024AI is Altering the Panorama for Hyperscale Knowledge FacilitiesThe Hyperscale Path to Knowledge Middle SustainabilityWhat’s Driving Hyperscaler Knowledge Middle Buildouts?
TAGGED: biggest, Centers, data, DCN, Hyperscalers, Worlds
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