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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.”

Leveraging HPC for Real-Time Quantitative Magnetic Resonance Imaging

W. Joe Allen from TACC gave this talk at the HPC User Forum. “The Agave Platform brings the power of high-performance computing into the clinic,” said William (Joe) Allen, a life science researcher for TACC and lead author on the paper. “This gives radiologists and other clinical staff the means to provide real-time quality control, precision medicine, and overall better care to the patient.”

SkyScale Announces “World’s Fastest Cloud Computing Service”

Today SkyScale announced the launch of its world-class, ultra-fast multi-GPU hardware platforms in the cloud, available for lease to customers desiring the fastest performance available as a service anywhere on the globe. “Employing OSS compute and flash storage systems gives SkyScale customers the overwhelming competitive advantage in the cloud they have been asking for,” said Tim Miller, President of SkyScale. “The systems we deploy at SkyScale in the cloud are identical to the hundreds of systems in the field and in the sky, trusted in the most rigorous defense, space, and medical deployments with cutting-edge, rock-solid performance, stability, and reliability. By making these systems accessible on a time-rental basis, developers have the advantage of using the most sophisticated systems available to run their algorithms without having to own them, and they can scale up or down as needs change. SkyScale is the only service that gives customers the opportunity to lease time on these costly systems, saving time-to-deployment and money.”

One Stop Systems Showcases High-Density GPU Appliances at GTC 2017

One Stop Systems announced plans to exhibit a wide array of its high-density GPU appliances at the GPU Technology Conference in San Jose. “One Stop Systems offers a wide variety of GPU appliances with different power density solutions to support a range of customer needs,” said Steve Cooper, OSS CEO. “Customers can choose a solution that fits their rack space and budget while still ensuring they get the compute power they need for their application. OSS GPU Appliances allow for tremendous performance gains in many applications like deep learning, oil and gas exploration, financial calculations, and medical devices. As GPU technology continues to improve, OSS products are immediately able to accommodate the newest and most powerful GPUs.”

AI Technology from China Helps Radiologists Detect Lung Cancer

Today Infervision introduced its innovative, deep learning solution to help radiologists identify suspicious lesions and nodules in lung cancer patients faster than ever before. The Infervision AI platform is the world’s first to reshape the workflow of radiologists and it is already showing dramatic results at several top hospitals in China.

Radio Free HPC Reviews the ASC17 Student Cluster Competition

In this podcast, the Radio Free HPC team reviews the results from the ASC17 Student Cluster Competition finals in Wuxi, China. “As the world’s largest supercomputing competition, ASC17 received applications from 230 universities around the world, 20 of which got through to the final round held this week at the National Supercomputing Center in Wuxi after the qualifying rounds. During the final round, the university student teams were required to independently design a supercomputing system under the precondition of a limited 3000W power consumption.”