Remote visualization tools allow employees to dramatically improve productivity by accessing business-critical data and programs regardless of their location. Remote visualization technologies allow users to launch software applications on the server side and display the results locally, letting them leverage the bandwidth and compute power of the cluster while circumventing the latency and security risks of downloading large amounts of data onto their local client.
With the advent of heterogeneous computing systems that combine both main CPUs and connected processors that can ingest and process tremendous amounts of data and run complex algorithms, artificial intelligence (AI) technologies are beginning to take hold in a variety of industries. Massive datasets can now be used to drive innovation in industries such as autonomous driving systems, controlling power grids and combining data to arrive at a profitable decision, for example. Read how AI can now be used in various industries using the latest hardware and software.
“Building on HPE IDOL’s history of delivering industry-leading analytics engineered for human data, IDOL Natural Language Question Answering is the industry’s first comprehensive approach to delivering enterprise class answers,” said Sean Blanchflower, vice president of engineering, Big Data Platform, Hewlett Packard Enterprise. “Designed to meet the demanding needs of data-driven enterprises, this new, language-independent capability can enhance applications with machine learning powered natural language exchan
As AI technologies become even faster and more accessible, the computing community will be positioned to help organizations achieve the desired levels of efficiency that are critically needed in order to resolve the world’s most complex problems, and increase safety, productivity, and prosperity. Learn more about AI Technologies … download this white paper.
In this video, Bill Mannel, VP & GM, High-Performance Computing and Big Data, HPE & Dr. Eng Lim GoH, PhD, SVP & CTO of SGI join Dave Vellante & Paul Gillin at HPE Discover 2016. “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.”
“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.”
Today Mellanox announced that NIH, the U.S. National Institute of Health’s Center for Information Technology, has selected Mellanox 100G EDR InfiniBand solutions to accelerate Biowulf, the largest data center at NIH. The project is a result of a collaborative effort between Mellanox, CSRA, Inc., DDN, and Hewlett Packard Enterprise. “The Biowulf cluster is NIH’s core HPC facility, with more than 55,000 cores. More than 600 users from 24 NIH institutes and centers will leverage the new supercomputer to enhance their computationally intensive 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.”
Today HPE announced today a comprehensive initiative that brings together the best of on-premises performance, application availability, and control with the convenience and agility of public cloud consumption models.
In this video, CoolIT Systems CEO & CTO, Geoff Lyon, and STULZ ATS President, Joerg Desler, discuss high density Chip-to-Atmosphere™ data center liquid cooling solutions for organizations big or small. When integrated, CoolIT Systems’ DCLC™ solutions can capture 85% and more of the servers’ heat directly into liquid. Complimenting DCLC™, STULZ precision air cooling products capture the balance of the lower density heat. A considerable benefit forms when the total heat energy from both systems is consolidated, transported outside and then dissipated or recaptured for reuse, to heat nearby buildings, for example.