Scientific computing must integrate AI and prioritize energy efficiency in the age of hyperscale cloud providers

Scientific computing must adapt by integrating AI and prioritizing energy efficiency

The article discusses the shifting landscape of advanced computing, where traditional scientific and engineering high-performance computing

Scientists and engineers race to reduce AI's growing energy consumption

This article explores the massive and growing energy consumption of AI systems, particularly data centers powering large language models lik

How data centers and AI infrastructure are reshaping higher education's priorities

Higher education's debate has shifted from whether students should use AI to whether universities will help build the physical infrastructur

AI-Driven Approach for Portable GPU Kernels in High-Performance Computing

This academic paper from North Carolina State University researchers presents an approach to leveraging AI ecosystems for creating portable

The Race to Rethink Data Centers for AI’s Power Surge

The next AI infrastructure race shifts from chips to agent-ready systems

Wall Street has focused on compute power (chips, data centers, cloud infrastructure) as the primary lens for valuing AI investments over the