When it comes to traditional HPC, it has taken a bit longer for cloud and AI to catch on. This is no surprise given the strict performance requirements and often decades-old codes at the heart of ...

Some of the most well-known examples of the use of machine learning technics in science applications are the detection and classification of gravitational-waves signals from LIGO and Virgo in ...

Artificial intelligence. It’s perhaps the water cooler topic of our decade, or perhaps the rest of this century. And nowhere is that more true than in high performance computing. An insideHPC special ...

No matter what kind of traditional HPC simulation and modeling system you have, no matter what kind of fancy new machine learning AI system you have, IBM has an appliance that it wants to sell you to ...

Architecting your infrastructure in service of application and data will determine how you’ll help your organizations compete in 2023—and beyond. Growing adoption of multicloud, edge technologies, AI ...

High-performance computing (HPC) refers to the use of supercomputers, server clusters and specialized processors to solve complex problems that exceed the capabilities of standard systems. HPC has ...

Companies running the in-memory computing platform from GridGrain Systems will see their machine learning, HPC, and analytics applications’ performance increase by 10x to 100x as a result of the use ...

The upcoming data center GPU, in combination with its new oneAPI programming interface, will give Intel more ammunition to compete against Nvidia in the artificial intelligence hardware acceleration ...