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Accelerating the speed and accessibility of artificial intelligence technologies

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.

HPE Supercomputer to Power Chemical Research at BASF

Today Hewlett Packard Enterprise announced plans to deploy one of the world’s largest supercomputers for industrial chemical research at BASF’s Ludwigshafen headquarters. Based on the latest generation of HPE Apollo 6000 systems, the new supercomputer will drive the digitalization of BASF’s worldwide research. “The new supercomputer will promote the application and development of complex modeling and simulation approaches, opening up completely new avenues for our research at BASF,” said Dr. Martin Brudermueller, Vice Chairman of the Board of Executive Directors and Chief Technology Officer at BASF.

Next-Generation Sequencing Altering the Patient Care Landscape

Next-generation sequencing (NGS) tools produce vast quantities of genetic data which poses a growing number of challenges to life sciences organizations. Accelerating analytics, providing adequate storage and memory capacity, speeding time-to-solution, and reducing costs are major concerns for IT department operating on traditional computing systems. In this week’s Sponsored Post, Bill Mannel, Vice President & General Manager of HPC Segment Solutions and Apollo Servers, Data Center Infrastructure Group at Hewlett Packard Enterprise, explains how next-generation sequencing is altering the patient care landscape.

HPE to Acquire Nimble Storage

Today Hewlett Packard Enterprise announced an agreement to acquire Nimble Storage, the California-based provider of predictive all-flash and hybrid-flash storage solutions. HPE will pay $12.50 per share in cash, representing a net cash purchase price at closing of $1.0 billion. In addition to the purchase price, HPE will assume or pay out Nimble’s unvested equity awards, with a value of approximately $200 million at closing. “Nimble Storage’s portfolio complements and strengthens our current 3PAR products in the high-growth flash storage market and will help us deliver on our vision of making Hybrid IT simple for our customers,” said Meg Whitman, President and CEO, Hewlett Packard Enterprise. “And, this acquisition is exactly aligned with the strategy and capital allocation approach we’ve laid out. We remain focused on high-growth and higher-margin segments of the market.”

Mellanox ConnectX-5 Sets DPDK Performance Record with 100Gb/s Ethernet

“The I/O intensive nature of the Virtualized Network Functions (VNFs) including virtual Firewall, virtual Evolved Packet Core (vEPC), virtual Session Border Controller (vSBC), Anti-DDoS and Deep Packet Inspection (DPI) applications have posed significant challenges to build cost-effective NFV Infrastructures that meet packet rate, latency, jitter and security requirements. Leveraging its wealth of experience in building high-performance server/storage I/O components and switching systems for High Performance Computing, Hyperscale data centers, and telecommunications operators, Mellanox has the industry’s broadest range of intelligent Ethernet NIC and switch solutions; spanning interface speeds from 10, 25, 40, 50 to 100Gb/s.”

Pascal GPUs to Accelerate TSUBAME 3.0 Supercomputer at Tokyo Tech

“TSUBAME3.0 is expected to deliver more than two times the performance of its predecessor, TSUBAME2.5,” writes Marc Hamilton from Nvidia. “It will use Pascal-based Tesla P100 GPUs, which are nearly three times as efficient as their predecessors, to reach an expected 12.2 petaflops of double precision performance. That would rank it among the world’s 10 fastest systems according to the latest TOP500 list, released in November. TSUBAME3.0 will excel in AI computation, expected to deliver more than 47 PFLOPS of AI horsepower. When operated concurrently with TSUBAME2.5, it is expected to deliver 64.3 PFLOPS, making it Japan’s highest performing AI supercomputer.”

Overcoming the Learning Curve of New Processor Architectures

High-performance computing (HPC) tools are helping financial firms survive and thrive in this highly demanding and data-intensive industry. As financial models grow in complexity and greater amounts of data must be processed and analyzed on a daily basis, firms are increasingly turning to HPC solutions to exploit the latest technology performance improvements. Suresh Aswani, Senior Manager, Solutions Marketing, at Hewlett Packard Enterprise, shares how to overcome the learning curve of new processor architectures.

insideBIGDATA Guide to Use of Big Data on an Industrial Scale

In this document, our focus is on “industrializing” big data infrastructure—bringing operational maturity to the Hadoop data ecosystem, making it easier and cost-effective to deploy at enterprise scale, and moving companies from the proof of concept stage into production-ready deployments. Download this Guide to Big Data on an Industrial Scale to learn more.

Remote Visualization Accelerating Innovation Across Multiple Industries

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.

Artificial Intelligence Becomes More Accessible

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.