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 ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Xilinx is expanding its push into “adaptive and intelligent computing” ...
'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 ...
Big data and machine learning has already proven itself to be enormously useful for business decision making. However, CPU intensive activities such as big data mining, machine learning, artificial ...
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 ...
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