The 2026 State of AI Infrastructure Report, based on a survey of 600 U.S. IT and business leaders, reveals that infrastructure—more than AI models or accelerators—is now the critical determinant of enterprise AI success. As organizations transition from experimentation to production, four key pressures have emerged: rising infrastructure complexity, strained…
The AI revolution is moving fast—from powerful data centers to intelligent edge, robotics, and physical AI shaping the real world. But scaling AI is not just about hardware—it’s about building a full-stack solution that connects infrastructure, software, and industry applications. Discover how ASUS helps enterprises accelerate AI DevOps and overcome…
Interest in shared cluster chargeback models is growing as GPU clusters become increasingly common in non-HPC organizations. Due to their high costs, these clusters often operate in a shared enterprise infrastructure model—much like mainframes once did. As a result, chargeback systems are gaining favor for providing organizations with visibility into…
As AI scales across industries, networks are increasingly the bottleneck — delaying training, underutilizing accelerators, and degrading inference performance. Cornelis Networks’ CN5000 fabric directly addresses these issues with a purpose-built congestion management architecture optimized for the entire AI lifecycle: training, fine-tuning, and inference. The white paper explores how CN5000 eliminates…
Alex Woodie
Editorial Director +
HPCwire Managing Editor
Jaime Hampton AIwire Managing Editor
Ali Azhar BigDATAwire Managing Editor
Drew Jolly QCwire Managing Editor
Douglas Eadline Contributing Editor
Addison Snell Contributing Editor
Elizabeth Leake Contributing Editor
Position: High Performance Computing Engineer
Location: Switzerland
TPC26 convenes global AI leaders from industry, academia, and national labs to develop best practices for utilizing AI for scientific discovery and engineering at scale.
