Modern compute-heavy projects place demands on infrastructure that standard servers cannot satisfy. Artificial intelligence ...
eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Who would have thought this only a few years ago? Cloud ...
Nvidia Corp. early today announced a new accelerator card for servers and unveiled Selene, a supercomputer it recently added to its internal research cluster that ranks as the seventh most powerful ...
Infrastructure decisions rarely fail because of weak hardware. They fail because the hardware does not match the nature 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 ...
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 ...
An early graphics card (display adapter) that performed a specialized set of functions in hardware to render an image on screen. Today, all graphics cards have basic rendering functions built in, and ...
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