Modern compute-heavy projects place demands on infrastructure that standard servers cannot satisfy. Artificial intelligence ...

Infrastructure decisions rarely fail because of weak hardware. They fail because the hardware does not match the nature of ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Nvidia officials are adding to the company’s portfolio of ...

What I'd like to cover here goes beyond those AI headlines, however, and involves a special nugget just for folks doing data engineering, analytics and machine learning work with Apache Spark.

In the GPU servers market, the future trend revolves around the rising demand for high-performance computing (HPC) and artificial intelligence (AI) applications. As AI and machine learning ...

'They believe that by using GPUs from Nvidia, by using software we have enabled over the last 10 years, and [by using] servers from both HPE and Dell, they're going to be able to process data 10 times ...

While the rest of the tech media marvelled at the world’s first seven nanometre chips unveiled by IBM earlier this week, the Armonk giant has quietly pushed out a couple of impressive cloud ...

The revolution in GPU computing started with games, and spread to the HPC centers of the world eight years ago with the first “Fermi” Tesla accelerators from Nvidia. But hyperscalers and their deep ...

A technical paper titled “Leaping into the curvy world with GPU accelerated O(p) computing” was published by researchers at D2S, Inc. The papers discusses the advantages of using GPU acceleration for ...