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.Nscale Locks $3.5 Billion Figure Robotics Compute Deal  ·Qatar’s Meeza Lands Major Hyperscaler Deal for 8MW ·Qualcomm Strikes Amazon AI Chip Deal, Opens Door to $4 Billion Stock ·Hitachi Energy Bets $300M on China Grid Manufacturing Corvex Builds Toward 8MW Cloud Infrastructure Footprint LITEON Bets $176 Million on DCX Liquid Cooling EdgeConneX Backs Singapore’s AI-Ready Tropical Data Center Testbed
.Nscale Locks $3.5 Billion Figure Robotics Compute Deal  ·Qatar’s Meeza Lands Major Hyperscaler Deal for 8MW ·Qualcomm Strikes Amazon AI Chip Deal, Opens Door to $4 Billion Stock ·Hitachi Energy Bets $300M on China Grid Manufacturing Corvex Builds Toward 8MW Cloud Infrastructure Footprint LITEON Bets $176 Million on DCX Liquid Cooling EdgeConneX Backs Singapore’s AI-Ready Tropical Data Center Testbed
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48 opinion pieces
AI Power Contracts

The compute contract may be moving faster than the electricity system AI infrastructure procurement can require customers to commit to

data center numbers

A number can look enormous before anyone asks what it is being measured against. That is increasingly true in debates

Egypt tech push

Egypt’s latest technology push creates an unusual economic test because the country is expanding several layers of digital capacity simultaneously.

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The Most Valuable Part of a Summit Is Rarely on the Invoice A conference ticket can buy admission, a badge,

An AI data center can remain structurally useful even as much of the computing equipment inside it becomes commercially outdated.

data center journalism

A data center has an obvious infrastructure footprint. It needs substations, fiber routes, cooling equipment, backup generation, transmission capacity and

AI energy pricing

The AI Compute Bill May Need a Clock AI customers have become accustomed to thinking about compute through familiar commercial

community-first data centers

The most difficult question facing the data center industry may not be how much power, water or land computing consumes.

energy following compute

A growing body of research is examining electricity availability as a computing variable rather than treating data-center demand as entirely

Cooling Redundancy Risk

AI Resilience Is Becoming a Thermal Architecture Question A customer can buy redundant compute and still discover that the supporting

zero-water AI cooling

The next argument over AI infrastructure may not be about how much water a data center consumes, but about what

AI acceleration economics

The most difficult part of slowing artificial intelligence may no longer sit inside the models themselves. It sits in the

underwater data centers

The most intriguing question about putting computing infrastructure in the ocean is not whether engineers can make a server room

data center visibility

A visible shift is emerging around data centers as some operators now provide controlled physical or guided tours that expose

Data Center Capacity

Spare Capacity Is Starting to Mean Something Different A data center can have empty floor space, unused electrical capacity and

Africa AI infrastructure

The next phase of AI infrastructure expansion may depend increasingly on where additional compute can be connected to reliable power

Oregon data center debate

Oregon’s data center debate has reached a point where the usual question, whether the industry is good or bad for

Liquid Cooling Spares

AI infrastructure buyers have spent plenty of time asking whether a data center can cool increasingly dense compute. They may

AI power costs

The most consequential number behind an AI data center may not appear on its electricity bill. A hyperscale facility can

data centers industrial boilers

The most revealing equipment in the next generation of AI infrastructure may not be sitting inside a server rack. It

data center tax incentives

A strange thing happens when a government subsidizes infrastructure built for a technology that keeps changing: the building may age

AI Grid Costs

AI Compute Is Turning Peak Demand Into a Business Question A data center can negotiate GPU prices, cooling equipment and

warm-water cooling

An engineer walking through a modern AI data hall today might notice something odd: the cooling loops can carry water

AI Decommissioning

The sustainability conversation around AI infrastructure usually becomes loudest when electricity enters the room. Megawatts, grid constraints, cooling efficiency and

space-based AI data centers

The most interesting part of orbital computing may begin precisely where its biggest sales pitch ends. Space-based AI data centers

data center insurance

A strange thing happens when a data center becomes valuable enough: the building itself starts to look like the least

China’s AI race

China’s AI expansion is creating an unusual economic question: where should increasingly power-hungry computing actually live? The answer is beginning

Neocloud hardware substitution

A reserved GPU can look reassuringly tangible on a procurement sheet. Accelerator procurement commonly specifies GPU type, quantity, configuration, deployment

AI rack density

India’s data center cooling debate has increasingly treated water as the most visible constraint, but the harder engineering question may

AI electricity contracts

Getting the megawatts may turn out to be easier than living with the contract behind them A company can secure

data center growth

AI infrastructure is often discussed through numbers that make expansion appear almost abstract: accelerator shipments, model sizes, gigawatts of planned

South Africa AI data

South Africa has a credible claim to being Africa’s leading digital infrastructure market. It already hosts major cloud regions, has

when should a data center replace working infrastructure for AI

The AI upgrade question is becoming a replacement question A data center can be technically functional and still become strategically

China supply chain

A strange thing happens when an AI data center moves from a financial model to a construction site: the GPU

Behind-the-meter power for AI data centers

The Data Center Is Becoming an Energy System The most important change in AI infrastructure may be happening outside the

California 330 MW

A 330-megawatt compute facility is difficult to describe as merely a building with servers inside it. Its computing capacity depends

distributed resilience

A 500-megawatt AI facility can represent a substantial engineering undertaking, but its resilience depends on how its electrical infrastructure distributes

Data Center Retirement

A data center can have substantial contracted or announced power capacity while its actual electrical demand remains below that level

compute in space

The most revealing question about putting AI infrastructure in orbit is not whether it can be done. Engineers have already

data center water footprint

A data center can report its water consumption precisely while still leaving important aspects of its broader water footprint outside

AI infrastructure economics

Trump’s defense of data center construction emphasizes the economic benefits of investment, jobs and potentially lower taxes for communities that

AI infrastructure balance sheet

The infrastructure decision is becoming a financial decision AI infrastructure now sits closer to corporate finance than many technology plans.

noise lawsuits

The data center industry has spent years refining the precision of infrastructure engineering. Operators measure temperature, airflow, power draw, vibration,

AI infrastructure cost of delay

AI Infrastructure Planning Still Starts With the Wrong Question Construction cost remains a central financial consideration in AI infrastructure planning.

electricity demand

AI infrastructure is beginning to change the economics of electricity in a way that extends beyond the question of whether

data center project risk

Data center development pipelines can contain projects whose developers secure commercial and grid commitments well before facilities reach physical completion.

AI infrastructure planning approval

Governments and developers are increasingly pursuing faster and more streamlined planning processes for AI and data-center infrastructure. The argument sounds

2026 midterms

A data center used to be easy to overlook. Behind the terminology of cloud infrastructure and high performance computing, these

AI infrastructure spend

The accelerator invoice is often the easiest number to identify in an AI budget. It can also provide an incomplete

AI infrastructure geopolitics

AI infrastructure is increasingly extending beyond the chip supply chain, where electricity, cooling systems, power equipment and other specialized components

Pennsylvania data centers

The political significance of Pennsylvania’s data-center debate is not that another technology industry has encountered local resistance. It is that

AI data center supply chain

The modern AI data center faces a problem that does not fit inside a server rack. A company can secure

Brazil renewable arbitrage

Brazil’s data-center opportunity is increasingly being defined not by how many facilities the country can build, but by what happens

Ireland nuclear

Ireland’s nuclear debate is no longer arriving as an abstract argument about reactor technology. It is emerging alongside a much

AI campus workload allocation

AI campuses increasingly support workloads with different compute and infrastructure needs. They no longer serve only one uniform type of

data centre geography

India’s AI infrastructure debate is beginning to resemble a question of location more than a question of ambition. The country

AI debt Enron 2.0

The phrase “AI debt Enron 2.0” is designed to sound like an immediate financial alarm, but it does not explain

AI data center asset-life planning

AI infrastructure has a timing problem that traditional data center planning does not solve The useful life of an AI

data center expansion

A data center can move from blueprint to construction while still facing significant work before its full planned computing capacity

AI power mismatch

AI infrastructure is entering an uncomfortable phase in which securing more electricity does not necessarily make the underlying data center

AI infrastructure commissioning

A completed AI facility can look ready while remaining weeks away from useful compute. The difference lies in what happens

AI data centers priority grid access

The central power question for AI infrastructure is no longer simply whether enough generation exists, but whether a project can

AI Power tax

A 500-megawatt AI project can be evaluated through a power model that accounts for its load requirement, interconnection plan, electricity

immersion cooling for AI data centers

The heat problem is becoming an infrastructure problem AI data centers now face a thermal challenge tied directly to compute

AI-ready capacity

The data center industry has a measurement problem hiding in plain sight. A facility can have vacant halls, available megawatts

power infrastructure

The most consequential piece of equipment at a new AI campus may no longer sit inside the server hall. Increasingly,

AI cooling infrastructure costs

AI cooling infrastructure costs are becoming harder to separate from computing economics. The industry has focused heavily on GPUs, accelerators,

AI carbon footprint

A data center’s carbon footprint is usually discussed as if it begins when a server starts consuming electricity. The more

underwater AI infrastructure

An AI server usually carries an implicit assumption that someone will eventually be able to replace it. That assumption becomes

AI cooling strategy

Cooling Has Become an End-User Decision, Not Just an Engineering Choice Cooling now plays a larger role in AI infrastructure

AI power pipeline

A strange thing happens when an AI data center announces a massive power requirement: the number immediately starts doing work

data center economics

The most revealing number in Springfield, Ohio’s data center debate may not be 75 megawatts, 214,000 square feet or even

liquid cooling

AI data center operators are treating cooling as a core infrastructure decision. It is no longer only a mechanical systems

critical mineral scarcity

Many projections about artificial intelligence eventually collide with a less comfortable assumption: that the physical world will keep pace. Chipmakers

AI thermal reuse

An AI data center performs an unusual energy conversion: electricity becomes computation, and a substantial share of that energy ultimately

liquid cooling for AI data centers

AI infrastructure is changing how operators approach thermal management. Processor density now influences the physical design of many data center

AI infrastructure overbuild

The debate around AI data centers often starts with a deceptively simple question: How much capacity does the technology actually

data center insurance

A data center can look like a single asset on a balance sheet, but its insurance exposure increasingly behaves like

water-smart cooling

The next meaningful distinction between data centers may not appear in their processor inventories or headline power capacity. It may

data centre capacity

Every few weeks, another Indian state government stands next to a hyperscaler or a domestic conglomerate and announces a new

AI infrastructure as a national security asset

AI infrastructure is moving into a new phase of strategic importance. Governments now focus more closely on advanced computing and

data center politics

The scale of Meta’s latest community investment looks unusual beside the cost of modern AI infrastructure. The company has announced

air cooling vs liquid cooling

AI infrastructure is changing the thermal assumptions behind data center design. The shift is visible in the growing number of

AI electricity logistics

The most consequential number in an AI infrastructure deal may not be the number printed beside its power requirement. It

AI infrastructure upgrade

The most consequential upgrade in an AI system may not arrive inside the accelerator package. It may arrive beside it,

data center carbon emissions

The infrastructure question is no longer only where capacity can be built A data center project can look viable on

data center boom

Malaysia’s data center surge has always looked like a story about geography. Put a hyperscale facility close enough to Singapore,

Circular Resource Markets

The infrastructure conversation around artificial intelligence rarely stays confined to processors, networking, or computing capacity. Every expansion cycle eventually reaches

AI workload volatility

The more difficult question emerging in AI infrastructure is whether a data center can reliably accommodate the way large AI

AI infrastructure energy strategy

AI Infrastructure Growth Is Forcing Data Centers to Think Like Energy Companies AI infrastructure energy management is becoming a critical

Net Zero Data Centers

Sustainability Metrics Must Move Beyond Energy Procurement The conversation around sustainable data centers has entered a more complex phase as

tax reforms

Somewhere between the announcement of a new data center and the moment its servers actually start processing workloads, months disappear

AI transmission corridors

Industry discussions around artificial intelligence increasingly recognize electricity as a strategic infrastructure requirement rather than solely a supporting utility. That

AI Data Center

AI infrastructure expansion is creating new cooling challenges The AI data center cooling race is becoming an important consideration as

Middle East energy

Digital infrastructure has a expanded the way and planners evaluate energy security by placing greater emphasis is a energy supply.

capital-to-megawatt

A utility executive can report strong quarterly revenue or earnings and still see a muted market reaction because investors now

Neocloud AI infrastructure market

The Neocloud AI infrastructure market is entering a new phase as organizations look for specialized computing resources to support advanced

metric arbitrage

A single dashboard cannot tell an operator whether a data center is actually greener than it was last year, yet

data center talent

India has become one of the world’s fastest-growing destinations for digital infrastructure. Capital continues flowing into hyperscale campuses, AI-ready facilities,

AI Energy Efficiency

AI energy efficiency is becoming as important as computing capacity as larger models, denser clusters, and increasingly sophisticated accelerators reshape

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