Deep Learning in the Cloud Accelerated by Mellanox

 
Azure

At the GTC’17 conference week, NVIDIA and Microsoft announced new Deep Learning solutions for the cloud. Artificial Intelligence and deep learning have the power to pull meaningful insights from the data we collect, in real time, enabling business to gain a competitive advantage, and to develop new products faster and better. As Jim McHugh, vice president and general manager at NVIDIA said, having AI and Deep leaning solutions in the cloud simplifies the access to the required technology and can unleash AI developers to build a smarter world

Microsoft announced that Azure customers using Microsoft’s GPU-assisted virtual machines for their AI applications will have newer, faster-performing options. Corey Sanders, director of Compute at Microsoft Azure mentioned that the cloud offering will provide over 2x the performance over the previous generation, for AI workloads utilizing CNTK [Microsoft Cognitive Toolkit], TensorFlow, Caffe, and other frameworks.

Mellanox solutions enable to speed up data insights with scalable deep learning in the cloud. Microsoft Azure NC is a massively scalable and highly accessible GPU computing platform. Customers can use GPU Direct RDMA (Remote Direct Memory Access) over InfiniBand for scaling jobs across multiple instances. Scaling out to 10s, 100s, or even 1,000s of GPUs across hundreds of nodes allows customers to submit tightly coupled jobs like Microsoft Cognitive Toolkit. A tool perfect for natural language processing, image recognition, and object detection.

See more at: http://www.nvidia.com/object/gpu-accelerated-microsoft-azure.html#sthash.y71Fw3Jf.dpuf

 

About Gilad Shainer

Gilad Shainer has served as Mellanox's Vice President of Marketing since March 2013. Previously, he was Mellanox's Vice President of Marketing Development from March 2012 to March 2013. Gilad joined Mellanox in 2001 as a design engineer and later served in senior marketing management roles between July 2005 and February 2012. He holds several patents in the field of high-speed networking and contributed to the PCI-SIG PCI-X and PCIe specifications. Gilad holds a MSc degree (2001, Cum Laude) and a BSc degree (1998, Cum Laude) in Electrical Engineering from the Technion Institute of Technology in Israel.

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