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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.”

Introduction to Parallel Programming with OpenACC – Part 2

In this video, Michael Wolfe from PGI continues his series of tutorials on parallel programming. “The second in a series of short videos to introduce you to parallel programming with OpenACC and the PGI compilers, using C++ or Fortran. You will learn by example how to build a simple example program, how to add OpenACC directives, and to rebuild the program for parallel execution on a multicore system. To get the most out of this video, you should download the example programs and follow along on your workstation.”

One Stop Systems Showcases HPC as a Service at GTC 2017

In this video from GTC 2017, Jaan Mannik from One Stop Systems describes the company’s new HPC as a Service offering. As makers of high density GPU expansion chassis, One Stop Systems designs and manufactures high performance computing systems that revolutionize the data center by increasing speed to the Internet while reducing cost and impact to the infrastructure.

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.”

IBM’s New PowerAI Software Speeds Deep Learning

IBM PowerAI on Power servers with GPU accelerators provide at least twice the performance of our x86 platform; everything is faster and easier: adding memory, setting up new servers and so on,” said current PowerAI customer Ari Juntunen, CTO at Elinar Oy Ltd. “As a result, we can get new solutions to market very quickly, protecting our edge over the competition. We think that the combination of IBM Power and PowerAI is the best platform for AI developers in the market today. For AI, speed is everything —nothing else comes close in our opinion.”

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.

Nvidia Unveils GPUs with Volta Architecture

This week at the GPU Technology Conference, Nvidia CEO Jensen Huang Wednesday launched Volta, a new GPU architecture that delivers 5x the performance of its predecessor. “Over the course of two hours, 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.”

BSC and NVIDIA Showcase Interactive Simulation of Human Body

This week at the GPU Technology Conference, Nvidia and Barcelona Supercomputing Center demonstrated an interactive visualization of a cardiac computational model that shows the potential of HPC-based simulation codes and GPU-accelerated clusters to simulate the human cardiovascular system. “This demonstration brings together Alya simulation code and NVIDIA IndeX scalable software to implement an in-situ visualization solution for of electro mechanical simulations of the BSC cardiac computational model. While Alya simulates the electromechanical cardiac propagation, NVIDIA IndeX is used for an immediate in-situ visualization. The in-situ visualization allows researchers to interact with the data on the fly giving a better insight into the simulations.”