The first two parts looked at where the US and China stand and what the AI race is a contest over. This installment turns to ...
Do enterprises really need separate systems to store transactions, process streaming data, and analyze historical information ...
Industry Conference convenes researchers, technology providers and industry leaders who use advanced cyberinfrastructure (CI) ...
CrowdStrike and Dynatrace have announced three new integrations aimed at helping companies cut the cost of managing security ...
The Navier–Stokes equations have described the motion of fluids for nearly two centuries, yet they continue to pose some of the deepest challenges in mathematics and fluid mechanics. In September 2026 ...
The AI boom may be showing signs of slowing on Wall Street, where stock market jitters caused Google to lose half-a-trillion ...
The rapid adoption and use of artificial intelligence is having a transformative effect on GPU designs, with accelerators ...
There’s a lot of scientific data out there – and universities, government agencies, and research labs have spent decades ...
A lot of attention has gone into the computing power needed to train AI models. And for good reason. Training the largest models requires enormous amounts of hardware. It also requires a substantial ...
The Chinese surprised the HPC community earlier this year when they took the top spot on the TOP500 list with LineShine, an all-CPU machine out of the National Supercomputing Center in Shenzhen that ...
Most enterprise AI teams discover the token cost problem somewhere between the demo and production, when the first real invoice arrives, and nobody can quite explain it. The query was straightforward, ...