Accelerated computing continues to gain momentum as the HPC community moves towards Exascale. Our recent Tesla P100 GPU review shows how these accelerators are opening up new worlds of performance vs. traditional CPU-based systems and even vs. NVIDIA’s previous K80 GPU product. We’ve got benchmarks, case studies, and more in the insideHPC Research Report on GPU Accelerators.
Video: One Stop Systems Takes GPU Density to the Next Level at SC16
November 22, 2016 by
In this video from SC16, Nate Parada from One Stop Systems describes the company’s new High Density Compute Accelerator (HDCA) for Deep Learning. “The CA16000 High Density Compute Accelerator with sixteen NVIDIA Tesla GPU accelerators is used for a variety of HPC applications including oil and gas exploration and financial services. Completely integrated with the GPUs most suited for a specific application, it’s easy installation and tested reliability makes it superior to alternative products.”
New Cray XC50 Delivers 1 Petaflop Per Cabinet
November 14, 2016 by
Today Cray announced the launch of the Cray XC50 supercomputer – the company’s fastest supercomputer ever with a peak performance of one petaflop in a single cabinet. “Supercomputing applications are evolving to include more deep learning algorithms, and with this evolution, the uses for GPUs in our systems are increasing, enabling our customers to use new analytics techniques to gain insight from increasingly large and complex data,” said Ryan Waite, Cray senior vice president of products. “The new Cray XC50 system represents a major advancement in our supercomputing capabilities. It provides the highest performance density of any Cray supercomputer, and gives customers the computational resources they need to take on larger, more complex workloads, as well as the next generation of scientific challenges.”
CSIRO Deploys NVIDIA DGX-1 Deep Learning Supercomputers Down Under
October 4, 2016 by
Today NVIDIA announced APAC’s first deployment of NVIDIA DGX-1 deep learning supercomputers CSIRO in Australia. “There is a growing interest from research groups to adopt machine learning techniques to support their projects,” said Angus Macoustra, executive manager for Scientific Computing at CSIRO. “CSIRO research projects are already using the DGX-1 systems, and in time, it is expected that machine learning will have applicability across all our areas of research and be used by hundreds of researchers.”
Nvidia Showcases DGX-1 Deep Learning Supercomputer at ISC 2016
July 8, 2016 by
In this video from ISC 2016, Marc Hamilton from Nvidia describes the new DGX-1 Deep Learning Supercomputer. “The NVIDIA DGX-1 is the world’s first purpose-built system for deep learning with fully integrated hardware and software that can be deployed quickly and easily. Its revolutionary performance significantly accelerates training time, making the NVIDIA DGX-1 the world’s first deep learning supercomputer in a box.”
Supermicro Showcases Intel Xeon Phi and Nvidia P100 Solutions at ISC 2016
July 7, 2016 by
At ISC 2016, Supermicro debuted the latest innovations in HPC architectures and technologies including a 2U 4-Node server supporting new Intel Xeon Phi processors (formerly code named Knights Landing) with integrated or external Intel Omni-Path fabric option, together with associated 4U/Tower development workstation; 1U SuperServer supporting up to 4 GPU including the next generation P100 GPU; Lustre High Performance File system; and 1U 48-port top-of-rack network switch with 100Gbps Intel Omni-Path Architecture (OPA) providing a unique HPC cluster solution offering excellent bandwidth, latency and message rate that is highly scalable and easily serviceable.
Exxact to Build HPC Solutions Using NVIDIA Tesla P100 GPUs
June 29, 2016 by
Today Exxact Corporation announced its planned production of HPC solutions using the NVIDIA Tesla P100 GPU accelerator for PCIe. Exxact will be integrating the Tesla P100 into their Quantum family of servers, which are currently offered with either NVIDIA Tesla M40 or K80 GPUs. The NVIDIA Tesla P100 for PCIe-based servers was introduced at the recent 2016 International Supercomputing Conference and is anticipated to deliver massive leaps in performance and value compared with CPU-based systems. NVIDIA stated the new Tesla P100 will help meet unprecedented computational demands planted on modern data centers.
E4 to Showcase GPU-Accelerated OpenPOWER Servers at ISC 2016
June 17, 2016 by
Today Italy’s E4 Computer Engineering announced plans to showcase of new NVIDIA GPU-accelerated OpenPOWER servers at ISC 2016 in Frankfurt. “For this edition of ISC16, we wanted to reinforce the message that E4 is a company that actively engages and pursues new technologies’ paths with the aim to deliver leading-edge solutions for a number of demanding environments,” said Piero Altoè, Marketing and BDM Manager, E4 Computer Engineering. “Our priority is to collaborate with organizations such as OpenPOWER Foundation and true visionaries like NVIDIA in order to obtain powerful, scalable and affordable solutions for a number of complex applications and contribute to the development of technologies that have a huge impact on many aspects of our lives.”
