The data centers in Sweden are a big part of making the country a global hub for data and communication. Sweden is still helping to grow the European data center market and the digital transformation by working on big new data center projects like the Strängnäs AI data center, EcoDataCenter 2 in Borlänge, and AtNorth's Langsele Data Center project.

The Global Data Center Market Report from Blackridge Research says that as of the third quarter of 2025, European data centers can deliver 5,023 MW of European colocation space. By the end of the year, the data center builders are scheduled to add 871 MW of new capacity, which is 34% more than the total data center capacity in 2024. We put together a list of the most important data centers in Sweden.

Strängnäs AI data center:

On June 4, 2025, Brookfield Asset Management said it would spend 95 billion kronor (USD 9.9 billion) to develop an AI data center. Strängnäs, Sweden, will be home to the data center. The business wants to quadruple the anticipated capacity from 300 MW to 750 MW over the next 10 to 15 years with this investment.

To make room for the bigger data center, the business aims to buy 350,000 square meters of land near Strängnäs. This is one of Brookfield's biggest AI investments in Europe. The project combines moving data, storing chips, and making energy. The project is now at the announced stage, and further information is expected soon.

Borlänge's EcoDataCenter 2:

EcoData Center is creating an AI-powered data center that can hold 250 MW of data at first. The data center is being built on the site of the old Kvarnsveden paper mill in Dalarna, Sweden. It will cover 20 acres. The former Kvarnsveden paper mill was bought by the firm in 2024.

The EcoDataCenter in Borlänge will run entirely on renewable energy. The data center is built to provide enterprise-level computing power while being environmentally friendly, efficient, and able to grow. The project will start with a capacity of 250 MW and then grow to 600 MW in later phases.

The project started on September 24, 2025, and the first data center is expected to be finished in early 2027.

Langsele Data Center at AtNorth:

AtNorth built the Langsele Data Center, which has a PUE of 1.2 and a capacity of 200 MW. The business bought a 30-hectare land in Långsele, Sweden, for the data center in December 2024.

The project will cost about $100 million to build. The AtNorth Langsele Data Center will have N+1 redundancy for its liquid cooling system. The project plans are still in the works as of 2025, and work is being done on a new detailed plan.

The project is anticipated to start building in the second quarter of 2026 and finish in 2027.

The Marviken Data Center from EdgeMode:

In October 2025, EdgeMode struck a deal with Colliers International Property Consultants Limited ("Colliers") to build an AI-ready data center in Marviken, Sweden. The project will take place on a 20,000 m² freehold property. It will start with a capacity of 20 MW and grow to 95 MW by the end of 2026.

Colliers will be the only advisor and strategic partner in finding tenants, investors, joint venture partners, and financial solutions for the project, according to the agreement.

At first, the phase 1 deployment was supposed to be a 15 MW IT Load, with 1 MW going live in March 2025, 2 MW going live in June, and a full 12 MW rollout by September 2025. Phase 2 includes expanding to reach 68 MW IT Load for more AI and Cloud Enterprise clients by 2026. Phase 3 intends to go beyond 500 MW, adding more land and next-generation power technologies including Small Modular Reactors (SMRs) for long-term sustainability.

EcoDataCenter 1 in Falun:

The EcoData Center 1, or Falun Data Center, is at Slaggvarpsvägen 21, 791 77 Falun, Sweden. The data center can hold 80 MW of data. It gets 75% of its power from hydropower and 25% from wind power, with a PUE of 1.2.

This is the first data center in the world made of wood. In September 2025, EcoData Center said it will borrow EUR 600 million (USD 703 million) to grow its data centers in Sweden and finish the Falun data center project expansion.

The Falun data center opened in 2019, and in 2023 the firm said it will be expanding the project. The first phase of the expansion is expected to be finished by the third quarter of 2024. By 2027, the Falun Data Center should be bigger.

In conclusion:

The country is quickly growing its data center industry and becoming a stronger player in the global data center market. Some of the biggest future data centers are the Brookfield Strängnäs AI Data Center, EcoDataCenter 2 in Borlänge, AtNorth's Långsele Data Center, and more.

As demand for AI, advanced servers, and high-performance computing grows, global companies like Amazon Web Services, Microsoft Azure, and Digital Realty are putting money into these areas. This expansion is therefore pushing for better use of power and new digital infrastructure across the country.

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Data center energy efficiency metrics are key performance indicators used to measure a data center's energy consumption and efficiency to help it maximize performance.

Since the data center industry is an energy-hungry segment of almost every organization worldwide, energy efficiency is urgently needed to harness the best outcome out of their data center facilities, work with environmental consciousness, and reduce carbon footprint without hampering operations.

Therefore, to achieve this goal, data centers use efficiency metrics that help them visualize the performance of various data center components. Further, it also helps them offer 100% uptime to attract customers amidst the competitive ecosystem of the data center industry.

Now, let us briefly examine the data center energy efficiency metrics used to analyze energy efficiency across the facility.

How Much is The Energy Consumption of a Data Center Facility?

Since data centers work with heavy-duty IT equipment, Cooling systems, and 24*7 working servers, they consume approximately 30 times more energy than any other traditional office buildings.

According to a report by Advances in Science, Technology, and Engineering Systems (ASTES) Journal, more than half of the energy consumption is attributed to IT equipment, and over 30% energy consumption is due to the cooling systems, other than that electrical and lightning and electric distribution amounts to only 15% of the total consumption.

Data Center Energy Efficiency Metrics

Initially, the companies calculate the total power consumption of the data center facility.

The total energy consumption (EDC) is measured as:

Where N = total number of energy-consuming units

Ei = amount of energy consumed by a unit ‘i’

How Does Energy Flow Inside a Data Center Facility?

First, energy from all the sources flows to the data center power delivery system (PDS), such as UPS, remote power panel, generators, power distribution units (PDUs), etc. Further, the energy flow to various IT equipment such as servers, storage systems, networking systems, cooling systems, security systems, automation units, and fire systems, etc

Key Metrics Used to Measure Data Center Efficiency

The data center energy metrics reflect how efficient various systems are. This is calculated with the use of certain specific formulas to analyze the energy efficiency by multiple segments of the data center facility, such as:

Site infrastructure

Physical space utilization

Peak power load per cabinet

Power usage effectiveness

IT equipment efficiency

IT equipment utilization

Power and data ports availability metrics

Let us explore what the above-mentioned energy efficiency metrics mean.

Efficiency metrics

Meaning

Site infrastructure

It is defined as the ratio of energy delivered to different IT equipment total to the total energy used by the data center.

Physical space utilization

It is defined as the physical space used divided by the total physical facilities space available.Energy consumption of all equipment divided by the total physical space.

Peak power load per cabinet

It is defined as the power available in the facility and how much each cabinet uses.

Power usage effectiveness (PUE)

It is defined as the ratio of total energy used by the facility by the total amount used by the IT equipment.

IT equipment efficiency

It is defined as the total ratio of potential IT equipment capacity and the total energy consumption by the IT equipment.

IT equipment utilization

It is defined as the ratio of the total measured power of the IT equipment to the total rated power of the IT equipment.

Power and data ports availability metrics

It is identified by identifying the cabinets with the most available power and data ports that enable the implementation of new equipment.

Water usage effectiveness (WUE)

It is defined as the measure of water used by the data center facility for cooling.

Carbon utilization effectiveness (CUE)

It is defined as the total carbon emission to the total energy consumption.

Along with energy efficiency metrics, another important data center metric emerging today is the sustainability metrics. Due to stringent environmental compliance, organizations have shifted to a more environmentally friendly solution to resolve data center performance challenges.

Let us learn more about the sustainability metrics.

Sustainability Metrics

According to the IEA, data centers accounted for upto 1% of the total global energy consumption in 2020. In contrast, the data center industry currently takes up approximately 2% of the world’s total energy consumption, and it is forecasted that by 2030, it will reach up to 8%.

Such significant energy consumption amounts to an increased carbon footprint and overuse of natural resources such as water.

This presents the dire need to change our energy sources to a much more sustainable and green approach.

Sustainability is defined as the development that caters to the current requirements without jeopardizing future generations, to satisfy their needs.

Various metrics are beneficial in analyzing a data center's sustainability ratio.

Sustainability metrics

Meaning

Environmentally friendly

It is measured by the extent to which the components and processes used are environmentally friendly.

Carbon footprint

It is defined as the value of carbon footprint and greenhouse gas (GHG) emissions by each energy source.

Water usage

The ratio of total water used to total energy consumption of IT equipment.

Green energy source

the ratio of green energy consumption to total energy consumption.

Energy reuse effectiveness (RE)

It is a ratio of the spent energy reused in a data center.

This current family of data center energy efficiency and data center sustainability metrics fails to holistically cover the existing measures of energy consumption, due to which a new family of data center energy efficiency metrics have emerged which is known as ‘multidimensional data center metrics.

Multidimensional Data Center Metrics

The existing data center energy efficiency matrix has failed to incorporate all the possible and existing energy consumption measures fully. Moreover, the existing metrics fail to incorporate the risk of failure involved in the operations of a data center.

For example, all the above-mentioned metrics can show high performance indicators, but at the same time, they can also involve a high risk of failure.

This gap between high performance and risk of failure needs to be covered with a more comprehensive study of the data center operations.

According to a study by Advances in Science, Technology, and Engineering Systems ( ASTES), a new family of measurement metrics can holistically cover this gap and present us with a more comprehensive analysis, including the associated risks.

This new scorecard includes the following metrics:

Productivity

Operations

Efficiency

Risks( both external and internal)

Sustainability

Ways to Optimize Data Center Energy Efficiency

There can be several ways to optimise data centre energy efficiency, some of them are mentioned below:

Sourcing energy from renewable energy resources such as wind, hydroelectric, solar, etc., will help data centers minimize their energy costs and optimize their energy efficiency.

Using modern energy-efficient server solutions to harness the power of technology to aid optimization.

Power management and monitoring systems can help data centers monitor and analyze real-time power distribution and usage activity insights.

Ventilation systems can help minimise heat and improve the efficiency of cooling systems without increasing heat load.

Diversifying the energy sources can also help data centers maintain a hybrid power source and reduce downtime and risk of failure.

Using a Data center infrastructure Management (DCIM) system can advance the tracking procedure of a data center, provide a better analysis mechanism, and establish an automated machine response system that will prove to be more efficient than traditional monitoring systems.

Using high-tech cooling systems designed for heavy workload can help data centers optimize their cooling efficiency.

Conclusion

Maximizing the data center's performance and harnessing the potential return on investment (ROI) while keeping sustainability standards and compliances in mind are critical in today's era.

Data center facilities have evolved to be more than just physical facilities; they have become a living, breathing, energy-eating facility that needs optimization to function correctly, and for this, data center energy efficiency metrics are essential to analyze and modify new strategies and to create a vision related to performance and risk visualization.

Moreover, emerging technological advancements such as machine learning, artificial intelligence, automation, etc, will contribute to a smarter and more sustainable operation of the data center sector that will, in turn, open investment opportunities for big IT giants to innovate and develop a future-proof technology.

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New York is rapidly emerging as one of the most strategic data center markets in the United States driven by the explosive growth of AI and cloud computing. One of the clearest signals of this shift is Anthropic’s USD 50 billion U.S. data center investment plan through its partnership with Fluidstack, with New York selected as one of the first locations for custom-built AI facilities coming online through 2026.

The largest upcoming data centers in New York including the Cayuga Data Campus, the STAMP Data Center in Genesee County, TeraWulf’s Lake Mariner Campus, IBM’s Quantum Data Center (IBM Quantum Starling) in Poughkeepsie, and the large-scale Lysander Data Center in Onondaga County represent a shift toward high-density, power-intensive infrastructure designed to support AI training, quantum computing, and hyperscale cloud workloads.

This article explores the Top 5 Upcoming Data Center Projects in New York, outlining where they are being built, why these locations matter, and how each project fits into the state’s growing role as a data center hub in the United States.

1.1. Cayuga Data Campus:

The Cayuga Data Campus is one of the top upcoming data center developments in New York, combining large-scale digital infrastructure with a strong focus on sustainability and community engagement. Located on the former Cayuga Power Plant site in Western New York, the project repurposes a long-standing industrial asset into a modern research and technology hub designed for high-reliability, heavy-duty computing operations.

The redevelopment covers roughly 180 acres, less than half of the total site, and follows a phased buildout plan approved by NYISO. An initial capacity of 50 MW is scheduled to come online in 2026, with expansion to 138 MW by 2028-2029. The location offers a major advantage, drawing power from a regional grid that is approximately 90% zero-carbon and benefits from surplus electricity availability, supporting New York’s broader clean energy goals.

Construction is expected to generate more than 500 jobs during the build phase, while long-term operations will support around 100 permanent skilled positions. The campus is designed to host world-class tenants under long-term agreements of ten years or more, targeting leading global technology companies.

1.2. STAMP Data Center:

The STAMP Data Center is a proposed hyperscale data center development by Stream Data Centers at the Science and Technology Advanced Manufacturing Park (STAMP) in Genesee County, New York. The project is planned on a large industrial site within the 1,250-acre STAMP megasite and is designed to support a major Fortune 50 technology tenant.

The facility is expected to span approximately 2.2 million square feet and is designed for high-density, energy-intensive computing workloads. At full buildout, the data center would require up to 500 MW of electricity, making it one of the most power-intensive data center projects proposed in New York State. Power would be supplied through a dedicated 600-MW substation being developed for the STAMP site. Water usage is estimated at around 20,000 gallons per day for cooling and operations.

The project is expected to create around 120 permanent jobs once operational, with additional construction employment during the build phase. Development is subject to regulatory approvals and environmental review, and local economic development authorities are evaluating the project.

1.3. TeraWulf’s Lake Mariner Campus:

Lake Mariner Data Center Campus CB-5 expansion is an expansion project by TeraWulf in Lake Mariner, western New York. A former industrial site is being converted to a data center campus with multiple buildings and phased capacity expansions.

Developed by TeraWulf Inc., the project is currently in the development stage with the new building CB-5 expected to be online in H2 of 2026. Fluidstack, an AI firm, announced leasing 200 MW of critical IT load for the project at its Lake Mariner data center campus in New York. 

This 10-year-long deal was announced in August 2025 and is backed by Google, which holds an 8% stake in Terawulf. The aim is to add a further 160 MW at the Lake Mariner data center project, bringing the total capacity to 360 MW.

1.4. IBM Quantum Data Center (IBM Quantum Starling):

IBM announced its plans to build the world’s first large-scale, fault-tolerant quantum computer, named IBM Quantum Starling. The data center will be built at a new dedicated IBM Quantum Data Center in Poughkeepsie, New York.

The project was initially announced on 10th June, 2025, and the build-out aimed to support next-generation quantum systems and follow-on processors. The Starling data center is expected to perform 20,000× more operations compared to today’s quantum processors.

The system will employ 200 logical qubits with a fault-tolerant architecture, enabling much larger and more reliable quantum workloads than earlier systems. The Starling project includes a quantum roadmap of intermediate systems slated for 2025-2027, and the project is expected to be fully delivered by 2029.

1.5. Lysander Data Center:

Ranalli Super DC, LLC has announced plans to develop a large-scale

hyperscale data center in Lysander, New York, marking one of the most power-intensive digital infrastructure proposals in the state. The project is planned on 120 acres of vacant land in suburban Lysander and is being led by James Ranalli, a prominent Onondaga County developer and owner of United Auto Supply.

The development has requested a grid interconnection capacity of up to 300 MW from the New York Independent System Operator. At full buildout, the facility’s electricity demand would be comparable to that of approximately 200,000 average households. Currently, the project is in early planning stages.

2. Conclusion:

From hyperscale campuses like STAMP and Lake Mariner to advanced research-driven facilities such as IBM Quantum Starling, these data centers collectively represent billions of dollars in long-term infrastructure investment and hundreds of megawatts of new computing capacity.

The Northeast currently has a USD 6 billion data center construction pipeline scheduled over the next six months, with the New York metro area accounting for a significant share. Long-standing advantages, including dense fiber networks, proximity to financial markets and enterprise customers, established regulatory systems, and expanding power infrastructure, continue to attract hyperscalers and AI-focused operators.

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Frequently Asked Questions:

What is the largest data center in the USA?

The largest data center in the USA is Meta Platforms, spanning 4.6 million square feet in Prineville, Oregon.

Where are most of the US data centers located?

Most U.S. data centers are concentrated in major “primary” markets such as Northern Virginia, Phoenix, Dallas, Atlanta, Chicago, Silicon Valley, Portland (Hillsboro), New York–New Jersey, Seattle (Quincy), and Los Angeles.

Who are the big 5 hyperscalers?

The “big five” hyperscalers are Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Oracle Cloud, and Meta/Facebook.

Who owns the most data centers in the USA?

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Hong Kong continues to strengthen its position as one of Asia's leading digital infrastructure hubs. The region's strategic location, international connectivity, growing cloud adoption, AI-driven workloads, and integration with the Greater Bay Area are driving significant investments in hyperscale and AI-ready data center infrastructure.

The latest generation of data center projects in Hong Kong focuses on high-density computing, artificial intelligence (AI), cloud computing, colocation services, and enterprise digital transformation. Major operators and investors are expanding capacity across key locations such as Tseung Kwan O, Tsuen Wan, Kwai Chung, Fo Tan, and the emerging Northern Metropolis region.

Top 5 Largest Data Center Projects in Hong Kong

1. Range Sandy Ridge Data Facility Cluster

Developer: Range Intelligent Computing Technology Group Location: Sandy Ridge, Northern Metropolis, Hong Kong Status: Under Construction

The Range Sandy Ridge Data Facility Cluster is expected to become the largest data center development in Hong Kong. Located near the Hong Kong–Shenzhen border, the project supports Hong Kong's ambition to become a regional AI and high-performance computing hub.

Investment and Economic Impact

Awarded in March 2026, the project secured the Sandy Ridge site through a two-envelope tender process that evaluated both technical proposals and financial bids. 

The development aligns with the Hong Kong SAR Government's Policy Address 2023, which rezoned Sandy Ridge as an innovation and technology precinct to accommodate the growing demand for AI data center infrastructure and high-performance computing facilities.

Key Highlights

Land Area: Approximately 116,000 square meters

Gross Floor Area: Around 250,000 square meters

Designed IT Capacity: 240 MW

Target Computing Power: 180 ExaFLOPS by 2032

Planned Investment: HKD 23.8 billion

Land Acquisition Cost: HKD 581 million

Construction Start: March 2026

Initial Delivery: Expected from late 2028

Expected Economic Output: HKD 4.6 billion

Employment Creation: Approximately 180 technology-focused jobs

The project is designed to support AI infrastructure, hyperscale cloud services, high-performance computing (HPC), and enterprise workloads. Its strategic location strengthens connectivity between Hong Kong and mainland China while supporting Greater Bay Area digital growth.

2. SUNeVision MEGA IDC (Phases 1 & 2)

Developer: SUNeVision Holdings (Sun Hung Kai Properties Group) Location: Tseung Kwan O Status: Phase 1 Operational; Phase 2 Under Construction

SUNeVision's MEGA IDC campus is one of Hong Kong's most important hyperscale data center developments. The facility is being expanded to meet rising demand from cloud providers, AI companies, financial institutions, and enterprise customers.

Key Highlights

Total Campus Development: Three Phases

Gross Floor Area: Approximately 1.2 million sq. ft.

Total Power Capacity: More than 180 MW

Phase 1 Capacity: 50 MW

Total Investment: More than HKD 15 billion

Phase 2 Construction Started: March 2025

Expected Completion: 2026–2027

The campus incorporates resilient infrastructure, multiple backup systems, and low-latency connectivity, making it a preferred destination for hyperscale and enterprise deployments.

3. Goodman Tsuen Wan West Campus

Developer: Goodman Group Location: Tsuen Wan West Status: Operational

The Goodman Tsuen Wan West Campus is among Hong Kong's most significant operational hyperscale facilities. The campus serves major technology companies, hyperscale cloud providers, and enterprise customers seeking scalable digital infrastructure.

Key Highlights

Hyperscale-ready infrastructure

Strategic location within Hong Kong's major data center corridor

Supports cloud computing and AI workloads

Home to major digital infrastructure tenants

Part of Goodman's broader Hong Kong data center expansion strategy

Goodman continues to invest heavily in Hong Kong's data center market and remains one of the region's leading digital infrastructure developers.

4. Global Switch Hong Kong

Developer: Global Switch Location: Tseung Kwan O Industrial Estate Status: Operational

Global Switch Hong Kong is one of the city's largest carrier-neutral data center campuses. The facility serves multinational corporations, financial institutions, cloud providers, and technology companies requiring highly resilient infrastructure.

Key Highlights

Carrier-neutral ecosystem

Strategic connectivity hub

Enterprise-grade infrastructure

Supports international and regional digital traffic

Strong presence in financial services and cloud sectors

The facility remains a key component of Hong Kong's position as an international digital gateway.

5. China Mobile Global Intelligence Center

Developer: China Mobile International (CMI) Location: Fo Tan, Sha Tin Status: Opened March 2026

China Mobile's Global Intelligence Center is one of Hong Kong's newest large-scale digital infrastructure investments. The facility supports AI computing, cloud services, telecommunications, and data processing applications.

Key Highlights

Opened in 2026

Supports AI and cloud workloads

Expands China Mobile's regional infrastructure footprint

Strengthens Hong Kong's digital ecosystem

Designed for next-generation computing requirements

The facility plays an important role in supporting increasing demand for AI-driven applications throughout Asia.

Other Upcoming Data Center Projects in Hong Kong

Several additional projects are expanding Hong Kong's digital infrastructure market:

Project

Location

Capacity

Status

Goodman Texaco Centre (HK10)

Tsuen Wan

50 MW

Expected Completion Mid-2026

SUNeVision MEGA Plus Phase III

Tseung Kwan O

Undisclosed

2026–2027

AirTrunk HKG2

East New Territories

15+ MW

In Development

ESR Kwai Chung HK1 Phase 2

Kwai Chung

21.3 MW

Targeted by End-2026

Vantage HKG5

Tsuen Wan West

48 MW

Expansion Underway

DayOne (GDS) Hong Kong Expansion

Kwai Chung / Tseung Kwan O

34 MW Operational + 40 MW Pre-committed

Ongoing

BDx Data Centers Expansion

Tseung Kwan O

Undisclosed

Expansion Financing Secured

Chinachem Group Data Center Project

Hong Kong

Undisclosed

Early Development

TPG Angelo Gordon Data Center

Tuen Mun

20 MW

Planning Stage

NTT Global Data Centers Expansion

Tseung Kwan O / Tsuen Wan

Undisclosed

Active Expansion

These projects highlight the growing demand for hyperscale data centers, AI infrastructure, cloud services, and colocation facilities across Hong Kong.

Market Drivers

Artificial Intelligence (AI)

The rapid adoption of AI applications is driving demand for high-density computing environments and AI-ready infrastructure.

Cloud Computing Expansion

Global cloud providers continue expanding their regional footprints, increasing demand for scalable and reliable data center capacity.

Greater Bay Area Integration

Closer economic integration with Shenzhen and neighboring cities is creating new opportunities for digital infrastructure investments.

Strong Connectivity

Hong Kong remains one of Asia's most connected telecommunications markets, making it attractive for international data traffic and cloud services.

Conclusion

Hong Kong's data center market is entering a new growth phase driven by AI infrastructure, hyperscale cloud expansion, and digital transformation initiatives. Major developments such as the Range Sandy Ridge Data Facility Cluster, SUNeVision MEGA IDC, Goodman Tsuen Wan West Campus, Global Switch Hong Kong, and China Mobile's Global Intelligence Center demonstrate the scale of investment flowing into the region.

Traditional hubs such as Tseung Kwan O, Tsuen Wan, and Kwai Chung continue to attract investment, while the Northern Metropolis is emerging as Hong Kong's next major data center corridor. Despite challenges related to land availability, power constraints, and operational costs, Hong Kong remains a strategically important market for cloud providers, enterprises, hyperscalers, investors, and digital infrastructure developers.

As demand for AI computing, cloud services, and high-performance computing continues to grow, Hong Kong is expected to remain one of Asia's most influential data center markets for years to come.

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Why Water Matters More Than Power for Future Data Centers

For years, power availability has dominated conversations around data center site selection. Developers, hyperscalers, and investors have focused heavily on securing reliable electricity supplies to support the rapid expansion of cloud computing and artificial intelligence infrastructure.

However, another resource is emerging as a strategic constraint that could significantly influence the future of digital infrastructure development: water.

As digital transformation accelerates globally, many leading data center markets are facing new challenges related to resource availability, sustainability, and long-term infrastructure planning.

Why AI Is Accelerating Liquid Cooling Adoption

The rapid expansion of the Global Data Center Market is one of the primary factors accelerating the adoption of liquid cooling technologies. As enterprises, cloud providers, and hyperscale operators continue investing in digital infrastructure, data centers are becoming larger, more powerful, and increasingly compute-intensive.