AI is reshaping IT investments, and flexibility is key to balancing innovation with legacy systems, explains OSI Global’s David Colman.

As AI workloads scale, power limitations are increasingly driven by infrastructure timelines and system complexity, rather than generation alone.

PSC’s overhaul of We Energies’ tariff proposal marks a shift to stricter frameworks, ensuring hyperscale growth doesn’t burden existing ratepayers.

A flatter topology and higher bandwidth reflect how hyperscalers are reshaping networks for large-scale AI clusters.

Verda’s latest funding round targets AI workload fragmentation, focusing on optimized infrastructure for training and inference.

Persistent memory shifts AI performance toward storage, networking, and data movement, not just GPU throughput.

As agent workloads stretch across time and systems, infrastructure – not just models – is emerging as the limiting factor.

The increased deployment of server CPUs alongside AI accelerators helped Intel’s data center division achieve significant growth in the first quarter.

Developers can accelerate approvals by choosing experienced jurisdictions, submitting complete plans, and proactively addressing environmental requirements.

IEEE is developing unified global standards to harmonize data center design with grid operations, enhancing efficiency, reducing costs, and ensuring integration with power systems.