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Category Archives: HPC Computing
Fresh off GTC 2017: The Revolutionary MATRIX GPU Cloud Solution
Ten years have gone by since GPU-accelerated computing was first introduced. This year at GPU Technology Conference 2017, advances in GPU computing and methods have culminated into the most ambitious and far-reaching technical endeavor yet—Artificial Intelligence. As researchers, global enterprises, … Continue reading
The Knight Has Landed
Enterprises looking to integrate GPU-like parallel computing into their HPC hardware without having to make any significant changes to their IT infrastructure should look no further–the Knight has landed. Intel just released the highly-anticipated next-generation Xeon Phi processor, previously code-named, … Continue reading
Best Deep Learning Performance By An NVIDIA GPU Card: The Winner Is…
There’s been much industry debate over which NVIDIA GPU card is best-suited for deep learning and machine learning applications. At GTC 2015, NVIDIA CEO and co-founder Jen-Hsun Huang announced the release of the GeForce Titan X, touting it as “the … Continue reading
Posted in AMAX News, Deep Learning, Enterprise Computing, GPU Computing, HPC Computing
Tagged deep learning, GPU, GPU computing, GPU systems, machine learning
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NVIDIA DGX-1: The Game Changer That Took Deep Learning To Ludicrous Speed
Last week, NVIDIA made a groundbreaking announcement, launching their mega-powerful NVIDIA DGX-1 Deep Learning System at the GPU Technology Conference in San Jose. As a purpose-built Deep Learning solution featuring 7TB of SSD storage and a whopping 170 TFlops performance, … Continue reading
AMAX Introduces Open CloudServer (OCS) Solutions
AMAX is introducing ServMax™ Open CloudServer (OCS) as an innovative solution for running business applications that are built to integrate compute, storage, and networking functionality with technology exchange and heterogeneous management. Continue reading