#datacenter-hardware

#datacenter-hardware

The UK has about 1.59GW of currently installed datacentre capacity at just under 190 sites. If we add existing capacity to that which is planned to complete by 2030 and which has planning consent, we get 4.9GW.

With this feature, you can bring entire folders, ML models, dbt adapters, utilities, directly into UDxFs and Stored Procedures without zipping, file-by-file bookkeeping, or manual updates.

Susquehanna's Positive rating reflects confidence in Arista's ability to capture growing demand for high-performance Ethernet networking as hyperscale cloud providers and enterprises scale AI workloads.

AI Armor provides dynamic runtime security and relies on a central policy engine in the Universal Management Suite (UMS) to meet compliance requirements, ensuring that organizations can manage their security effectively.

Lenovo has a hunch that some of you are about to shift to a different hypervisor and has created hardware to make the move easier. As explained to The Register by Kumar Mitra, Lenovo Infrastructure Solutions Group's executive director for Central Asia Pacific, plus Australia and New Zealand, some organizations are contemplating cloud repatriation projects to on-prem hyperconverged or private cloud rigs.

As businesses contend with ever-increasing data volumes and performance-intensive applications such as AI model training, AI inferencing and high-performance computing, they need infrastructure that delivers speed, scalability and efficiency without added complexity.

The new version combines lower costs with improved cybersecurity and offers up to 2 petabytes of storage in a 2U rack space. Companies are struggling with explosive data growth, increasing cyber threats, and limited budgets. Dell Technologies is responding to this with PowerStore 4.3, a platform that addresses storage challenges without compromising performance or security. The latest version brings innovations that double storage density and reduce energy costs.

A North American manufacturer spent most of 2024 and early 2025 doing what many innovative enterprises did: aggressively standardizing on the public cloud by using data lakes, analytics, CI/CD, and even a good chunk of ERP integration. The board liked the narrative because it sounded like simplification, and simplification sounded like savings. Then generative AI arrived, not as a lab toy but as a mandate. "Put copilots everywhere," leadership said. "Start with maintenance, then procurement, then the call center, then engineering change orders."

This new reality is forcing organizations to undertake careful assessments before making platform decisions for AI. The days when IT leaders could simply sign off on wholesale cloud migrations, confident it was always the most strategic choice, are over. In the age of AI, the optimal approach is usually hybrid. Having openly championed this hybrid path even when it was unpopular, I welcome the growing acceptance of these ideas among decision-makers and industry analysts.