But as more data centers are built to accommodate AI and other data-intensive processes, energy demand is expected to skyrocket. A single hyperscale data center can use the same amount of energy as a ...

As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to ...

China is pulling ahead of the rest of the world in sinking data centers that power AI into the ocean as an alternate way to ...

Soluna Holdings, Inc. (“Soluna” or the “Company”) (NASDAQ: SLNH), a developer of green data centers for intensive computing applications including Bitcoin mining and Artificial Intelligence (AI), ...

Virtual power plants are emerging as a potentially critical means of meeting the growing power demands from data centres in ...

Built from the ground up to meet the extreme demands of HPC environments and tightly coupled AI clusters, Tomahawk Ultra redefines what an Ethernet switch can deliver. Long perceived as higher-latency ...

Cloudian’s new PyTorch connector is built on Nvidia Corp.’s GPUDirect Storage technology and optimized for Nvidia Spectrum-X ...

The Solution scalability of computationally intensive problems constitutes a major challenge to researcher in the High Performance Computing realm. Cloud platform services have been explored for ...

In the fast-paced field of High Performance Computing (HPC), the convergence of Artificial Intelligence (AI) and Big Data Analysis signals a groundbreaking ...

But the benefits extend beyond performance and flexibility. With data centers consuming an estimated 4% of electricity ...

For many companies—especially those with strict compliance requirements or performance-sensitive workloads—on-prem infrastructure still offers key advantages.