“Pairing Tundra Relion X1904GT with our Tundra Relion 1930g, we now have a complete deep learning solution in Open Compute form factor that covers both training and inference requirements,” said William Wu, Director of Product Management at Penguin Computing. “With the ever evolving deep learning market, the X1904GT with its flexible PCI-E topologies eclipses the cookie cutter approach, providing a solution optimized for customers’ respective applications. Our collaboration with NVIDIA is combating the perennial need to overcome scaling challenges for deep learning and HPC.”
Archives for October 2016
Video: Jim Ganthier on how Dell EMC Powers HPC & Big Data
October 26, 2016 by
“HPC is ‘mainstreaming’ into many industry verticals and converging with Big Data and Cloud. By 2019, HPC will account for nearly 1 in 4 of all servers sold. Our scalable, flexible market-ready solutions — with the latest Intel processors — readily handle compute and data-intensive workloads to drive breakthroughs faster. Dell supports industry, research, government and education with market-ready HPC solutions that enable more innovation and discovery. Our scalable, flexible solutions readily handle compute and data-intensive research workloads, helping drive faster breakthroughs.”
Mellanox Shipping ConnectX-5 Adapter
October 26, 2016 by
“We are pleased to start shipping the ConnectX-5, the industry’s most advanced network adapter, to our key partners and customers, allowing them to leverage our smart network architecture to overcome performance limitations and to gain a competitive advantage,” said Eyal Waldman, Mellanox president and CEO. “ConnectX-5 enables our customers and partners to achieve higher performance, scalability and efficiency of their InfiniBand or Ethernet server and storage platforms. Our interconnect solutions, when combined with Intel, IBM, NVIDIA or ARM CPUs, allow users across the world to achieve significant better return on investment from their IT infrastructure.”
BSC Collaborates with OpenFog Consortium
October 26, 2016 by
“To reinforce and continue with our pioneering work on fog computing that started in 2008, we pursue synergies between leading technology companies and academic and scientific community,” said Mario Nemirovsky, Network Processors Manager at BSC. “By collaborating with the OpenFog Consortium, we will be able to contribute to the consolidation of an IoT platform for the interoperability for consumers, business, industry and research. We are looking forward to a constructive and fruitful collaborations with all OpenFog members.”
ASML taps Livermore for Extreme UV Chip Manufacturing
October 25, 2016 by
Tomorrow’s top supercomputers will require chips built using advanced lithography far beyond today’s capabilities. Towards this end, Lawrence Livermore National Lab today announced a collaboration with ASML, a leading builder of chip-making machinery, to advance extreme ultraviolet (EUV) light sources toward the manufacturing of next-generation semiconductors.
Microsoft Cognitive Toolkit Updates for Deep Learning Advances
October 25, 2016 by
Today Microsoft released an updated version of Microsoft Cognitive Toolkit, a system for deep learning that is used to speed advances in areas such as speech and image recognition and search relevance on CPUs and Nvidia GPUs. “We’ve taken it from a research tool to something that works in a production setting,” said Frank Seide, a principal researcher at Microsoft Artificial Intelligence and Research and a key architect of Microsoft Cognitive Toolkit.
Fujitsu Develops New Architecture for Combinatorial Optimization
October 25, 2016 by
Today Fujitsu Laboratories announced a collaboration with the University of Toronto to develop a new computing architecture to tackle a range of real-world issues by solving combinatorial optimization problems that involve finding the best combination of elements out of an enormous set of element combinations. “This architecture employs conventional semiconductor technology with flexible circuit configurations to allow it to handle a broader range of problems than current quantum computing can manage. In addition, multiple computation circuits can be run in parallel to perform the optimization computations, enabling scalability in terms of problem size and processing speed.”
Seagate Launches World’s Fastest Hard Drive
October 25, 2016 by
“Performance demands on enterprise datacenters today are increasing as customers consider agile storage solutions to handle diverse workloads. The key to success is to apply the right technologies to the right workloads, and we are seeing increased adoption of hybrid arrays of HDDs and SSDs enhanced by software-based caching,” said Brian Payne, executive director, server solutions, Dell EMC. “By delivering higher performance and capacity, Seagate’s latest Enterprise Performance 15K HDD will be a sound investment for dynamic server-storage environments.”
The Intelligent Industrial Revolution
October 25, 2016 by
“Over the past six weeks, we took NVIDIA’s developer conference on a world tour. The GPU Technology Conference (GTC) was started in 2009 to foster a new approach to high performance computing using massively parallel processing GPUs. GTC has become the epicenter of GPU deep learning — the new computing model that sparked the big bang of modern AI. It’s no secret that AI is spreading like wildfire. The number of GPU deep learning developers has leapt 25 times in just two years.”
Thomas Schulthess to Present Goals and Baselines for Exascale at SC16
October 24, 2016 by
Next month at SC16, Dr. Thomas Schulthess from CSCS in Switzerland will present a talk entitled “Reflecting on the Goal and Baseline for Exascale Computing.” The presentation will take place on Wednesday, Nov. 15 at 11:15 am in Salt Palace Ballroom-EFGHIJ.
