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Video: NVIDIA and Red Hat Simplify AI Development and Manageability

In this video, Tony Paikeday from NVIDIA describes how the DGX-1 for Red Hat Enterprise Linux is transforming enterprise computing with the power of Machine Learning. “Red Hat and NVIDIA have a solution with the certification of the NVIDIA DGX-1 for Red Hat Enterprise Linux. The combination enables enterprises to easily plug in and power up the AI supercomputer that has become the essential tool for AI innovators and researchers everywhere. And they can do so with a familiar operating system. In fact, 90 percent of Fortune 500 companies use Red Hat Enterprise Linux in their operations.”

Video: Deploy HPC Applications Faster with NVIDIA GPU Cloud

The HPC application containers available on NVIDIA GPU Cloud (NGC) drastically improve ease of application deployment, while delivering optimized performance. The containers include HPC applications such as NAMD, GROMACS, and Relion. NGC gives researchers and scientists the flexibility to run HPC application containers on NVIDIA Pascal­ and NVIDIA Volta-powered systems including Quadro-powered workstations, NVIDIA DGX Systems, and HPC clusters.

GPUs & Deep Learning in the Spotlight for Nvidia at SC16

In this video from SC16, Roy Kim from Nvidia describes how the company is bringing in a new age of AI with accelerated computing for Deep Learning applications. “Deep learning is the fastest-growing field in artificial intelligence, helping computers make sense of infinite amounts of data in the form of images, sound, and text. Using multiple levels of neural networks, computers now have the capacity to see, learn, and react to complex situations as well or better than humans. This is leading to a profoundly different way of thinking about your data, your technology, and the products and services you deliver.”

Microsoft Cognitive Toolkit Updates for Deep Learning Advances

Today Microsoft released an updated version of Microsoft Cognitive Toolkit, a system for deep learning that is used to speed advances in areas such as speech and image recognition and search relevance on CPUs and Nvidia GPUs. “We’ve taken it from a research tool to something that works in a production setting,” said Frank Seide, a principal researcher at Microsoft Artificial Intelligence and Research and a key architect of Microsoft Cognitive Toolkit.