Nvidia has spent the last decade defining accelerated computing through GPUs, turning parallel processing into the backbone of artificial intelligence.

Nvidia has spent the last decade defining accelerated computing through

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CoreWeave used Google Cloud Next 2026 this week to announce a suite of capabilities

Verda, the Helsinki-based AI cloud infrastructure company formerly known as DataCrunch, has raised $117

Meta Platforms is moving beyond terrestrial energy constraints, securing a landmark partnership to source

The Middle East is rapidly repositioning itself as a critical hub for next-generation data

Google has broken ground on its first self-built and wholly owned data center in

Amazon is tightening its grip on the AI infrastructure stack, this time through a

Fermi America is in crisis. Co-founder and CEO Toby Neugebauer stepped down on April

VAST Data has closed a $1 billion Series F financing round at a $30

Maine Governor Janet Mills has until April 25 to sign, veto, or allow LD

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Naver Cloud and HanmiGlobal have aligned on a high-stakes infrastructure play, formalizing

SoftBank Group is moving deeper into the infrastructure stack not just computing,

Meta has broken ground on a new AI-optimized data center in Tulsa,

Applied Digital has signed a 15-year lease agreement with a new US-based investment-grade hyperscaler at its Delta Forge 1 AI.

Artificial intelligence is no longer just a computational shift, it is a resource shift. As enterprises accelerate AI deployment, water.

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Industry Intelligence

The next phase of data infrastructure will not be defined by how fast

As AI accelerates infrastructure demand, power delivery is becoming the defining constraint of

The global AI race is being fought on multiple fronts- in semiconductor fabs,

Speed has become the defining currency of the AI era. But in the

Article By: Louis Charlton, CEO, Global Commissioning For most of the data centre

The data center industry is scrambling to accommodate a wave of demand unlike

52% of UK IT leaders cite rising power costs as top data centre

Artificial intelligence (AI) workloads are surging, environmental regulations are changing, and the continued

Speed has become the defining currency of the AI era. But in the

The neocloud sector has enjoyed an extraordinary two years. GPU scarcity created pricing

Europe’s artificial intelligence ambitions are being framed as a story of sovereignty, innovation,

There is a version of the AI infrastructure story that the industry tells

Reframing Infrastructure: From Burden to Strategic Asset Public discourse around data centers has

Maine’s governor faces a deadline this week on the nation’s first statewide data

The Quiet Rewiring of an Industrial Power South Korea’s industrial transformation is no

For the past two years, every major conference in the AI infrastructure space

The global energy transition is entering a decisive phase, where ambition is no

The AI industry has spent the better part of a decade convincing itself

The global race to build digital infrastructure no longer depends only on technology

The AI infrastructure industry sold liquid cooling as a performance solution. Denser GPU

The AI data center industry has a sustainability reporting problem that sits in

Data center power design has always been built around predictability. Training workloads consume

Modern digital systems no longer operate within the clean boundaries that once defined

The global race to scale artificial intelligence infrastructure has moved far beyond traditional

The land problem in AI infrastructure is not about availability. There is no

The narrative around GPU infrastructure has focused almost entirely on scarcity. Chips are

Data center developers once treated capacity reservation as a straightforward operational activity. They

The AI infrastructure investment cycle of 2023 and 2024 was built around a

Layers have multiplied, abstractions have deepened, and operational visibility has thinned to the

The Optics Economy of Energy Deals A new layer of signaling now defines

The transmission infrastructure problem facing AI data center development is well understood by

Grid operators across the United States offer major financial incentives to large industrial

Edge systems now operate in environments that refuse to stay predictable, forcing engineers

At the 2026 edition of Google Cloud Next 2026, Google Cloud presented a

There is a mismatch sitting at the center of the AI infrastructure buildout

The next phase of data center evolution will not be defined by hardware

The first phase of AI infrastructure geography was determined by power and connectivity.

The colocation data center model has been remarkably durable. For three decades, the

The grid has started to behave less like a utility pipeline and more

The way investors evaluate data centers has changed quietly but fundamentally. Capacity once

The AI infrastructure buildout has generated enormous analysis about hyperscalers, data center developers,

The AI infrastructure buildout has produced a category of project that did not

Insurance has always lagged the assets it covers. New technologies create new risk

The AI infrastructure market entered 2026 with a widely held assumption. Capital would

The current wave of artificial intelligence feels decisive, yet it rests on a

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