AI Pushes Cooling to the Forefront of Data Center Design Challenges
As AI drives extreme power density, operators are shifting to hybrid cooling, modular builds, and tighter system integration to maintain performance, efficiency, and reliability.
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As AI drives extreme power density, operators are shifting to hybrid cooling, modular builds, and tighter system integration to maintain performance, efficiency, and reliability.
The move toward 800 VDC and new power architectures stems from mounting constraints in how compute, cooling, and power fit inside the rack.
With interconnection delays stretching years, operators are turning to distributed generation and real estate platforms to secure faster access to power.
AI is forcing a reset in how data centers are designed, powered, and built – and the industry is running out of room for incremental change.
The AI cloud provider rolled out a set of interconnect, orchestration, and data services designed to address key bottlenecks in multi-cloud AI infrastructure.
Panelists from Microsoft and Google detailed how hyperscalers translate volatile AI demand into data center capacity – relying on modular design, tighter planning loops, and constant tradeoffs between speed and certainty.
The EU’s first reporting cycle exposed gaps between sustainability metrics and available data, according to a researcher linked to the study.
Geothermal, long-duration storage, and innovative procurement models aim to close the reliability gap as AI drives unprecedented power demand.
Industry leaders gather in Washington as AI-driven growth is pushing data centers to new scale, reshaping demands on power, design, and sustainability.
Amazon and Anthropic are expanding their partnership with a $5 billion investment and a $100 billion commitment to AWS infrastructure.
Construction of the first phase of the Scala AI City is expected to start later this year.
Data sovereignty laws are reshaping cloud strategies, creating new opportunities for data center providers to meet compliance demands.
A new initiative from the LLM developer aims to address AI-driven security vulnerabilities in data center software infrastructure.
Arm is moving beyond IP licensing into full chip production with its AGI CPU. Discover its impact on the semiconductor value chain.
How many people work in a data center? Explore the factors that influence on-site staffing levels and the roles required to maintain critical systems.
A US startup plans to launch solar-powered AI satellites, but experts warn that technical and economic challenges may delay space-based data centers.
Amazon’s $200 billion AI push reflects a shift to building ahead of demand while raising new questions about utilization and the pace at which enterprises will follow.
Nvidia says AI infrastructure should be evaluated on cost per token rather than traditional compute metrics, but analysts say the approach may favor hyperscale environments and remain premature for enterprise IT.
Community protests against data center construction are growing rapidly, halting billions in projects and reshaping industry strategies.
As AI workloads scale, Equinix is betting that network operations must become autonomous to keep pace with increasingly dynamic infrastructure demands.