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Microway GPU Systems for HPC & Deep Learning at GTC 2017

In this video from the 2017 GPU Technology Conference, Eliot Eshelman from Microway describes the company’s GPU expertise and wide range of accelerated HPC products. “Since 1982, Microway has delivered high performance computing solutions. We have in-depth experience with demanding Linux-based scientific/engineering applications. Leveraging NVIDIA’s latest Tesla GPUs, our team will design a solution for your specific applications. Our experts ensure your system is delivered fully tested and ready to run!”

One Stop Systems Receives Supplier Excellence Award from Raytheon

Today One Stop Systems announced that Raytheon has recognized One Stop Systems with a Premier Supplier Excellence Award for their outstanding innovation, technical achievement and customer support. “We’re very honored to receive this award from Raytheon,” said Steve Cooper, CEO of OSS. “We believe the relationship and working well together is a very important piece of the successes we’ve had, particularly as technology advances. We’re very excited about this new product and we want to thank Raytheon for their support and trusting us to build the Data Storage Unit to meet all of Raytheon’s and the Navy’s requirements.”

How InfiniBand is Powering new capabilities for Machine Learning with RDMA

In this video from GTC 2017, Scot Schultz from Mellanox describes how high performance InfiniBand is powering new capabilities for Machine Learning with RDMA. “Mellanox Solutions accelerate many of the world’s leading artificial intelligence and machine learning platforms. Mellanox solutions enable companies and organizations such as Baidu, Facebook, JD.com, NVIDIA, PayPal, Tencent, Yahoo and many more to leverage machine learning platforms to enhance their competitive advantage.”

AMAX Showcases Virtualization Solutions for GPUs at GTC 2017

In this video from GTC 2017, Dr. Rene Meyer from AMAX describes the company’s innovative virtualization solutions for GPU computing. “What we are showcasing here is a very interesting solution—a hardware/software solution. We not only present the hardware, but we put a software layer on top, which allows you to virtualize GPUs in those machines.”

The New Nvidia HGX-1: GPU Power for Machine Learning at Hyperscale

Rob Ober from Nvidia describes the company’s new HGX-1 reference platform for GPU computing. “Powered by NVIDIA Tesla GPUs and NVIDIA NVLink high-speed interconnect technology; the HGX-1 comes as AI workloads—from autonomous driving and personalized healthcare to superhuman voice recognition—are taking off in the cloud.”

Exxact Powers HPC & Deep Learning at the GPU Technology Conference

In this video from the 2017 GPU Technology Conference, Jason Chen from Exxact Corporation describes the company’s innovative GPU solutions for HPC & Deep Learning workloads. “Exxact Corporation is a global, value-added supplier of computing products and solutions. We provide services in IT distribution and system integration for HPC, Big Data, Cloud, and AV applications and markets, while servicing many of world’s top national labs, research universities, online retailers, and Fortune 100 & 1000 companies.”

Supermicro Showcases Powerful GPU Solutions at GTC 2017

In this video from GTC 2017, Rodolfo Campos from Supermicro describes the company’s innovative solutions for GPU-accelerated computing. “Leveraging our extensive portfolio of GPU solutions, customers can massively scale their compute clusters to accelerate their most demanding deep learning, scientific and hyperscale workloads with fastest time-to-results, while achieving maximum performance per watt, per square foot, and per dollar.”

Liqid Showcases Composable Infrastructure for GPUs at GTC 2017

“The Liqid Composable Infrastructure (CI) Platform is the first solution to support GPUs as a dynamic, assignable, bare-metal resource. With the addition of graphics processing, the Liqid CI Platform delivers the industry’s most fully realized approach to composable infrastructure architecture. With this technology, disaggregated pools of compute, networking, data storage and graphics processing elements can be deployed on demand as bare-metal resources and instantly repurposed when infrastructure needs change.”

Radio Free HPC Looks at the New Volta GPUs for HPC & AI

In this podcast, the Radio Free HPC team looks at Volta, Nvidia’s new GPU architecture that delivers up to 5x the performance of its predecessor. “At the GPU Technology Conference, Nvidia CEO Jen-Hsun Huang introduced a lineup of new Volta-based AI supercomputers including a powerful new version of our DGX-1 deep learning appliance; announced the Isaac robot-training simulator; unveiled the NVIDIA GPU Cloud platform, giving developers access to the latest, optimized deep learning frameworks; and unveiled a partnership with Toyota to help build a new generation of autonomous vehicles.”

Podcast: Marc Hamilton on how Volta GPUs will Power Next-Generation HPC and AI

In this podcast, Marc Hamilton from Nvidia describes how the new Volta GPUs will power the next generation of systems for HPC and AI. According to Nvidia, the Tesla V100 accelerator is the world’s highest performing parallel processor, designed to power the most computationally intensive HPC, AI, and graphics workloads.