The cloud landscape is evolving rapidly in 2026, with new federal regulations like the Senate GRID Act and shifting cost models forcing businesses to rethink their infrastructure strategies. While ...

Students will be able to analyze the computing and memory architecture of a super computing node and use OpenMP directives to improve vectorization of their programs. This module focuses on the key ...

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing. Organizations are modernizing AI data center infrastructure with GPU computing, ...

The team received the Test of Time Award for their paper, GeePS: Scalable deep learning on distributed GPUs with a GPU-specialized parameter server. The paper addresses the challenges of scaling deep ...

A University of Washington–MIT team has unveiled a low-power, electrically reconfigurable optical chip that could accelerate AI computing, as hyperscaler capital expenditures on AI infrastructure ...

The University of California Board of Regents today (May 5) approved UC President James B. Milliken’s recommendation of the appointment of Katherine “Kathy” Yelick as the ninth director of Lawrence ...

Xanadu Quantum Technologies Ltd. ("Xanadu") (NASDAQ: XNDU) (TSX: XNDU), a leading photonic quantum computing company, and the U.S. Department of Energy's Oak Ridge National Laboratory (ORNL), one of ...

Rather than building massive new data centers with their own ZIP code, SPAN is proposing a network of small units, called ...

I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing power you need on board. You can’t rely on the cloud when you’re 400 feet ...

Sales of Intel's central processing units and custom AI processors are gaining traction as AI inference workloads grow.

The GPU server market is poised for strong growth, driven by AI and ML adoption. Key opportunities lie in expanding high-performance computing capabilities, AI-centric investments, and deploying ...