Today DDN announced that Yahoo Japan has deployed an active archive system jointly developed by DDN and IBM Japan. The new system allows Yahoo! JAPAN to cache dozens of petabytes of data from its OpenStack Swift storage solution in a Japan-based data center, and transfer data to a U.S.-based data center at an astonishing rate of 50 TB of data per day – thus enabling energy cost savings of 74 percent due to lower energy rates in the United States versus Japan, while ensuring fast data access regardless of location.
“With up to eight high performance NVIDIA GPUs designed for maximum transfer bandwidth, the HPE Apollo 6500 is purpose-built for HPC and deep learning applications. Its high ratio of GPUs to CPUs, dense 4U form factor and efficient design enable organizations to run deep learning recommendation algorithms faster and more efficiently, significantly reducing model training time and accelerating the delivery of real-time results, all while controlling costs.”
“The complexity and high costs of architecting and maintaining streaming analytics solutions often make it difficult to get new projects off the ground. That’s part of the reason Kx, a leading provider of high-volume, high-performance databases and real-time analytics solutions, is always interested in exploring how new technologies may help it push streaming analytics performance and efficiency boundaries. The Intel Xeon Phi processor is a case in point. At SC16 in Salt Lake City, Kx used a 1.2 billion record database of New York City taxi cab ride data to demonstrate what the Intel Xeon Phi processor could mean to distributed big data processing. And the potential cost/performance implications were quite promising.”
How is Hewlett Packard Enterprise reinventing the fundamental architecture on which all computers have been built for the past 60 years? In this video, HPC describes the evolution of The Machine research project – one of the largest and most complex research projects in the company’s history – and how HPE demonstrated the world’s first Memory-Driven Computing architecture.
In this video from SC16, Ben Sander from AMD presents: HIP and CAFFE Porting and Profiling with AMD’s ROCm. “We are excited to present ROCm, the first open-source HPC/Hyperscale-class platform for GPU computing that’s also programming-language independent. We are bringing the UNIX philosophy of choice, minimalism and modular software development to GPU computing. The new ROCm foundation lets you choose or even develop tools and a language run time for your application. ROCm is built for scale; it supports multi-GPU computing in and out of server-node communication through RDMA.”
“Huawei has increasingly become more prominent in the HPC market. It has successfully deployed HPC clusters for a large number of global vehicle producers, large-scale supercomputing centers, and research institutions. These show that Huawei’s HPC platforms are optimized for industry applications which can help customers significantly simplify service processes and improve work efficiency, enabling them to focus on product development and research.”
In this video from SC16, Gabriel Broner from SGI describes the company’s full breadth of HPC solutions. Recently acquired by Hewlett Packard Enterprise, SGI’s product technologies such as the SGI ICE XA system and SGI UV big memory systems will continue to offer unique value for HPC customers on the road to Exascale. “Will this be a good marriage? Well, this reporter got to spend some time with HPE, SGI, and their joint customers at the recent HP-CAST user group meeting, and all indications are that this combination will be a powerful force in HPC moving forward.”
“Intel HPC Orchestrator simplifies the installation, management, and ongoing maintenance of an HPC system by reducing the amounft of integration and validation effort required to run an HPC system software stack. With Intel HPC Orchestrator, based on the OpenHPC system software stack, you can take advantage of the innovation driven by the open source community – while also getting peace of mind from Intel® support across the HPC system software stack.”
In this video from the Intel HPC Developer Conference, Akira Sano from Supermicro describes the company’s Machine Learning Solutions on Intel Architecture. “Our server systems, subsystems and accessories are architecturally designed to provide high levels of reliability, quality and scalability, thereby enabling our customers benefits in the areas of compute performance, density, thermal management and power efficiency to lower their overall total cost of ownership.”
In this video from SC16, Bill Mannel from Hewlett Packard Enterprise describes how the company is gaining momentum in the HPC space as the leading vendor on the TOP500. With the recent acquisition of SGI, HPE is moving forward with broader range of solutions for high performance computing. “The combined HPE and SGI portfolio, including a comprehensive services capability, will support private and public sector customers seeking larger high-performance computing installations, including U.S. federal agencies as well as enterprises looking to leverage high-performance computing for business insights and a competitive edge.”