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- Indexed articles, last 90 days
- 5
- Latest publication
- Sep 29, 2026
- Outlet visibility, for datacenterknowledge.com
- Top 5M sites
- Earliest in this view
- Jul 7, 2026
Latest articles
The 200 GW Moment: Reinventing the Grid for the AI Economy (opens the original)
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As AI pushes rack densities into unprecedented territory, utilities, hyperscalers, and developers are rethinking how to deliver reliable, affordable power at massive scale. Global data center power demand is projected to exceed 200 gigawatts (GW) by 2030. AI workloads are driving typical rack densities from roughly 10-30 kW into 80-150 kW, with advanced deployments approaching 1 MW per rack. Individual campuses are scaling into the hundreds of megawatts and beyond. The pace of growth is unpreced
Google’s AI Data Centers Become Grid Partners (opens the original)
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At Data Center World Power, Google’s Tom Garvens detailed how full-stack design, LVDC power, BESS, and liquid cooling are reshaping hyperscale AI while supporting local grids. AI infrastructure is expanding at an unprecedented pace. Google now processes more than 3 quadrillion AI tokens per month, representing a sevenfold increase in compute demand from May 2025 to May 2026. Meeting this velocity requires innovation in energy efficiency and power delivery. Tom Garvens, vice president of advanced
Solid-State Transformers Power Next-Gen AI Data Centers (opens the original)
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Solid-state transformers are gaining traction as a way to convert medium-voltage AC directly to 800 V DC in AI data centers. Still, questions remain about the technology’s maturity. The distribution outside most data centers still runs on alternating current (AC). Inside the newest GPU-heavy designs, however, high-voltage direct current (HVDC) is gaining ground. Moving key conversion stages from AC to DC can shrink equipment footprints and weight, improve efficiency and control, and simplify the
AI Data Center Networking: Scale Up, Out, and Across (opens the original)
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As AI clusters scale and network silicon becomes the bottleneck, next-generation switching architecture targets latency and multi-site connectivity. Adding thousands of GPUs to a data center can be a colossal waste of money if the network fabric can’t keep up. It’s like pairing a modern laptop with a 28k or 56k dial-up modem: throughput and latency constraints will dominate. Vendors such as Cisco, Broadcom, and Nvidia are converging on 51.2-102.4 Tbps-class Ethernet switching silicon with deeper
Preparing Data Center Networks for AI’s Next Wave (opens the original)
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At Cisco Live 2026, experts warned: AI’s growth demands a networking supercycle, making networks as vital as GPUs and power. The release of ChatGPT in late 2022 marked the beginning of an unprecedented surge in AI traffic. Despite still being a basic generative AI chatbot at the time, monthly visits soared immediately to 152 million in November of 2022. From there, it hit one billion visits within three months and almost four billion by the end of 2024. But this was only the first wave of AI. “T
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For datacenterknowledge.com, the outlet · Measured Aug 1, 2026
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