HPE Launches Apollo 6500 Gen10 System as Part of AI Solution Push

HPE today announced the latest rev of its HPE Apollo 6500 platform, Gen10, along with a spate of new AI-oriented offerings designed to help customers optimize and scale up their AI and deep learn

By Tiffany Trader

IBM Touts OpenPOWER Ecosystem, Announces New Customers, Products for AI and Hyperscale

At SC17 in Denver four months ago, Ken King, GM, OpenPOWER, IBM Systems Group, told a somewhat jaundiced trio of journalists that 2018 would, finally, after several years of expectations, be the

Deep Learning at 15 PFlops Enables Training for Extreme Weather Identification at Scale

Petaflop per second deep learning training performance on the NERSC (National Energy Research Scientific Computing Center) Cori supercomputer has given climate scientists the ability to use machi

By Rob Farber

How the Cloud Is Falling Short for HPC

The last couple of years have seen cloud computing gradually build some legitimacy within the HPC world, but still the HPC industry lies far behind enterprise IT in its willingness to outsource c

By Chris Downing

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IBM Unveils New Cloud for Data Science and Engineering

March 19, 2018

Days ahead of its inaugural IBM Think mega-event, the multinational tech mainstay on Friday (March 16) unveiled a new cloud offering called Cloud Private Data t Read more…

By Alex Woodie

Chip Makers Collaborate on NVMe Fabrics

March 19, 2018

A trio of chip makers will collaborate on a reference architecture for speeding deployment of NVM Express over storage network fabrics. Cavium Technologies, Read more…

By George Leopold

Part Two: Navigating Life Sciences Choppy HPC Waters in 2018

March 8, 2018

2017 was not necessarily the best year to build a large HPC system for life sciences say Ari Berman, VP and GM of consulting services, and Aaron Gardner, direct Read more…

By John Russell

Part One: Deep Dive into 2018 Trends in Life Sciences HPC

March 1, 2018

Life sciences is an interesting lens through which to see HPC. It is perhaps not an obvious choice, given life sciences’ relative newness as a heavy user of H Read more…

By John Russell

Alibaba Cloud Launches ‘Bare Metal,’ HPC Instances in Europe

February 28, 2018

Alibaba, the e-commerce giant from China, is taking a run at AWS in the global public cloud computing market with new offerings aimed at the surging demand for Read more…

By Tiffany Trader

AI Cloud Competition Heats Up: Google’s TPUs, Amazon Building AI Chip

February 12, 2018

Competition in the white hot AI (and public cloud) market pits Google against Amazon this week, with Google offering AI hardware on its cloud platform intended Read more…

By Doug Black

NSF Adds $30M to BIGDATA Program; AWS, Google, and Azure Participate

February 7, 2018

The National Science Foundation announced today it is providing nearly $30 million in new funding for projects through NSF’s Critical Techniques, Technologies Read more…

By Staff

IBM Adds V100 GPUs to IBM Cloud; Targets AI, HPC

January 31, 2018

IBM today announced availability of Nvidia V100 GPUs in the IBM Cloud. The move keeps pace with Amazon and Microsoft Azure which also offer V100s and is more ev Read more…

By John Russell

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Full & Complete coverage of SC17

Keynote Reviews, Analysts Write Ups, Booth Vidoes, Student Competition, Awards and so much

Did you miss out on Supercomputing 2017? Did you attend, but were stuck in meetings the whole time without an opportunity to walk the show floor and see what new announcements were being made? HPCwire's got you covered, we visited some of the hottest booths in the exhibit hall and spoke with their top executives to get the scoop on the latest solutions, partnerships, and product announcements.

Click here to view HPCwire Coverage of SC17


Avoiding the Storage Silo Trap; Best Practices for Data Storage in Scientific Research

From mismatches between compute and storage capabilities to colossal data volumes, data storage presents a number of challenges for scientific research. And as silos pop up and challenges expand, the pace of research often suffers.

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Creating a Modular, Building-Block Architecture for Life Science Workflows

As genomic data becomes ubiquitous, infrastructure bottlenecks for life sciences organizations are narrowing. But speedy analysis and real-time decision making don't have to remain out of reach: modern end-to-end systems are emerging as flexible solutions for a competitive edge.

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