30 articles
NVIDIA’s NVLink Fusion and BlueField-4 announcements show why agentic AI infrastructure is becoming a systems and networking problem.
AI inference growth is shifting the hardware bottleneck from training throughput toward memory bandwidth, capacity, networking, and power efficiency.
The latest backlash around data centers shows the AI buildout is no longer only an engineering story. It is a zoning, grid, and legitimacy problem.
Public opposition to AI data centers is turning power, water, land, and local consent into binding limits on the industry's compute buildout.
Meta\u2019s Louisiana expansion to a five-gigawatt campus and more than $50 billion in planned investment shows how AI infrastructure is now being fought over through tax incentives and local politics.
Microsoft's reported emissions jump tied to AI data centers turns a climate footnote into a hard constraint on the economics of hyperscale intelligence.
Blackstone's Google TPU venture and Anthropic-linked enterprise deals show how private capital is becoming AI infrastructure strategy.
AirTrunk's 5GW India data-center commitment shows AI infrastructure is moving toward power, land, policy, and regional capacity.
Google's SpaceX compute deal shows how Gemini Enterprise demand is turning AI product launches into capacity planning.
Meta's reported rapid-deployment AI data center tents show how model competition is pushing infrastructure toward speed, modular power, and unusual tradeoffs.
Alphabet's planned $80B equity raise for AI infrastructure reframes the AI race around capital, compute, data centers, and dilution.
Nvidia's latest quarter shows hyperscale AI demand is still expanding, with data center revenue dominating the economics of the model race.
Cisco's raised AI order forecast shows hyperscaler demand is turning networking fabric into a central AI infrastructure constraint.
A Georgia data-center water dispute shows why AI infrastructure must make local utility impacts visible before trust collapses.
Fresh analyst target hikes for Nvidia, AMD, Broadcom, Dell, and others show investor focus moving toward agentic AI infrastructure demand.
Colorado lawmakers killed a data-center regulation push, leaving the AI power boom to collide with local energy and water concerns.
IREN's AI infrastructure volatility shows that GPU demand is real, but financing, power, and execution risk still decide winners.
Amazon's reported Titus data-center effort highlights how power, cooling, and rack design now shape AI competition.
Nvidia's reported IREN cloud deal points to a new AI infrastructure market built around power, options, and secured demand.
Data centers may bring investment and digital ambition to Nepal, but without strong public safeguards the biggest gains will flow to corporations while ordinary Nepalis carry the pressure on land, power, water, and policy.
NVIDIA and Corning announced a long-term optical connectivity partnership, making fiber capacity part of the AI factory race.
Panthalassa raised $140 million to build wave-powered AI inference nodes at sea, a sign of how far the compute bottleneck is pushing infrastructure.
Micron and Samsung rallies show how AI memory demand is reshaping data centers, consumer devices, and semiconductor economics.
Meta’s Q1 2026 results raised capex guidance to $125B-$145B as AI infrastructure becomes the company’s main strategic bet.
OpenAI has paused the Stargate UK data center project, citing energy costs and regulatory headwinds. The decision exposes critical fault lines in Britain's AI infrastructure strategy.
NVIDIA unveils the Vera CPU with 88 custom Olympus cores and 1.2 TB/s memory bandwidth, purpose-built for agentic AI workloads. Why the future of AI infrastructure depends on CPUs, not just GPUs.
Applied Digital and Polaris Forge have finalized a $2.15 billion high-yield bond to fuel the expansion of massive HPC data centers in North Dakota, securing the energy-compute future.
Faced with a 78GW demand in Texas and a crumbling national grid, AI giants are bypassing the utility companies entirely to build self-powered off-grid campuses.
As energy scarcity threatens AI scaling, tech giants and energy firms are converging on a radical solution: integrated small modular reactors and fusion clusters.
Delve into the next-generation AI hardware battle of March 2026. Explore NVIDIA's Vera Rubin H300, AMD's Ryzen AI 400 for PCs, and Meta's custom MTIA chips reshaping massive data center architectures.