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The University of Granada will expand its supercomputing infrastructure with a second AI system financed by a €3.5 million Eunomia project. The funding comes through the European Eunomia programme, according to Data Center Dynamics' report.
New York State has temporarily halted approval of new large data centers as Governor Kathy Hochul raises concerns about higher electricity costs, water use, and local control amid an AI-driven building boom. The pause aims to assess infrastructure and community impacts before allowing further construction, according to TechCrunch AI reporting.
Data Center Dynamics provides a global outlook on whether data center capacity and infrastructure can meet surging AI demand. The piece examines constraints such as power, cooling, water, and grid stress across regions.
Trinidad and Tobago has signed memoranda of understanding with American companies to host AI data centers, according to reports. It remains unclear whether the country has the financial, technical, or infrastructure resources to support these projects.
The FBI is considering deploying multiple AI systems spanning training and inference, potentially built on Nvidia B300 GPUs or Google TPUs. The move would support large language model workloads across varied operational needs, according to a Data Center Dynamics report.
Emma Strutton interviews Andy Tolbert of Echelon Data Centres about how rising AI-driven power density is changing data centre design. They discuss increased adoption of liquid cooling, updated electrical systems, and hybrid energy approaches for next‑generation facilities.
A sponsored piece from Data Center Dynamics argues that combining solar power with battery storage is essential to meet the unique load profiles of AI-scale data centers. It highlights the roles of reliability, grid interaction, and scalability without making specific performance claims.
Rising AI demand has made traditional 18–24 month build timelines impractical, prompting operators to consider modular, prefabricated data centre designs. Industry observers suggest modular construction can shorten deployment times and increase flexibility, though trade-offs and local impacts remain under review.
A sponsored piece from Data Center Dynamics argues the AI data center boom is not stalled by a single bottleneck but by a convergence of factors. The article frames capacity, infrastructure, and operational shifts as simultaneous constraints shaping expansion.
Deploying AI infrastructure requires more than selecting top hardware components; it needs a coherent methodology to integrate systems, software, and operations. The article argues that orchestration, repeatable processes, and alignment between teams are essential for successful deployment.
Europe’s Aether consortium has proposed building two AI-focused data centre gigafactories in Strasbourg. If constructed, the project would initially provide 42 MW of capacity, according to Data Center Dynamics.
Data Center Dynamics discusses how two-phase liquid cooling can support next-generation AI infrastructure by efficiently removing high-density heat loads. The piece outlines potential system designs and industry interest in adopting this method for future AI deployments.