As artificial intelligence (AI) continues to advance, data centers are evolving into dynamic command hubs designed to handle the massive data throughput and processing power required for advanced AI ...

News cycles are increasingly dominated by debates about AI’s impact on power systems, consumer energy prices, grid emissions ...

Amazon, Google and Microsoft are all investing millions of dollars into nuclear power, driven by a need for more power for both data centers and artificial intelligence processing. RJ Bardsley joins ...

Editor's Note: This article features interactive listening modules that can be accessed in the original post here. The abundance of the digital age has brought with it a tremendous need for physical ...

Unlike conventional structures, the entirety of the building—apart from glass-framed cutouts along its frontage—will be windowless. This programmatic requirement enhances security for the data suite ...

Hyperscalers, AI firms, cloud providers, and data center operators are pushing for data centers to be operational in 12 to 14 months, nearly double the pace of a typical construction project.

The global shortage of NAND flash memory is no longer a short-term disruption—it is now a defining force reshaping how data ...

Join developers, operators, investors and builders at Bisnow's Pacific Northwest data center conference in Seattle to tackle power constraints, cooling, capital and AI-ready data center delivery.

With the addition of NVIDIA NVLink Fusion, SiFive computing platforms can connect directly to NVIDIA GPUs and accelerators using a coherent, high-bandwidth interconnect to reduce latency, share data ...

At least $3 trillion is set to flow into data-center-related investments over the next five years, capital that will rely on the might of multiple areas of the credit markets to provide, according to ...

And the reason for this is because there is so much at stake.” Cars and planes need to be extremely reliable because people die if they aren’t. In AI data centers, no one dies when systems fail, but ...