Cray Announces Artificial Intelligence Initiatives to Advance Deep Learning for Science and Enterprise

November 13, 2017

SEATTLE, Nov. 13, 2017 — Global supercomputer leader Cray Inc. today announced a comprehensive set of Artificial Intelligence (AI) products and programs that will empower customers to learn, start, and scale their deep learning initiatives.

As AI and deep learning continue to transform entire industries and scientific disciplines, Cray is leveraging its supercomputing expertise, technologies, and best practices to advance the adoption of deep learning. Today, Cray is introducing:

  • The new Cray Accel AI Lab to advance the development of deep learning technologies and workflows;
  • New Cray Accel AI offerings, featuring NVIDIA Tesla V100 GPU accelerators, which provide a range of fast-start configurations leveraging the Cray CS-Storm accelerated cluster supercomputer along with a robust deep learning environment;
  • A new Cray Urika-XC analytics software suite, including the addition of the TensorFlow open-source machine intelligence software library and support for Jupyter Notebooks;
  • An AI collaboration agreement with Intel, leveraging Intel’s AI technologies to advance the state-of-the-art in distributed deep learning and machine learning.

“Cray is committed to working closely with our customers, partners, and innovators in AI to drive the adoption of deep learning in science and enterprise,” said Fred Kohout, Cray’s senior vice president of products and chief marketing officer. “At Cray, we are bringing together a powerful set of innovative systems, software, deep learning architectures, and a hands-on lab environment to give organizations a trusted partner to advance AI workloads from pilot to production.”

Cray Accel AI Lab
Cray is launching a deep learning innovation center – the Cray Accel AI Lab – to serve as the focal point for the application, incubation, and advancement of supercomputing technologies in AI.  The new lab will provide access to Cray systems powered by Intel Xeon Scalable Processors and NVIDIA Tesla GPU accelerators, and will bring together AI experts from Cray’s engineering teams, its customers, and partners to provide educational content and classes in topics ranging from developer training to advanced optimization techniques of deep learning frameworks. The Cray Accel AI Labwill accessible from Cray offices worldwide, with classroom settings available in Cray’s major office locations.

Cray Accel AI Offerings
Cray is introducing new Cray Accel AI offerings designed to make it easier for customers to get started with AI. The new, fast-start configurations range from a starter system ideal for AI exploration to a complete, production-level Cray cluster supercomputer for training and inference. Components include the Cray CS-Storm accelerated GPU system featuring NVIDIA Tesla V100 GPU accelerators powered by the NVIDIA Volta GPU architecture, and a comprehensive deep learning and analytics software environment from Bright Computing.

New Cray Urika-XC Analytics and AI Software Suite
The Cray Urika-XC software suite, which brings graph analytics, deep learning, and robust big data analytics tools the Company’s flagship line of Cray XC™ supercomputers, will now include the TensorFlow computational framework and enhancements to the Cray software environment that are specifically designed to accelerate machine learning frameworks. The new Cray Programming Environment (CPE) Machine Learning Library will deliver unprecedented scaling by leveraging the Aries interconnect, and will eliminate many of the mundane administrative tasks required for distributed deep learning. With the enhanced performance, data scientists will be able to train neural networks at scale on a Cray XC supercomputer – leveraging either CPUs or GPUs – to more than 500 nodes.

Additionally, Cray is adding functionality for truly interactive supercomputing for analytics and AI workloads with the addition of Jupyter Notebook support, giving users the ability to create and share executable code, graphical visualizations, monitoring widgets, and narrative text.

“At the heart of artificial intelligence, machine learning, deep learning, and supercomputing are some key commonalities,” said Clint Wheelock, founder and managing director of Tractica. “At this stage in the development of the market, the timing is optimal to bring together the two areas of HPC and AI.”

AI Collaboration Agreement with Intel
Intel and Cray have signed an agreement to collaborate on the development of a scalable software environment to enable science and enterprise to take advantage of the tremendous promise of AI. The collaboration will deliver a productized software stack for deep learning at scale on Cray systems, along with targeted optimizations for popular deep learning and machine learning tools, such as TensorFlow and Intel’s BigDL distributed deep learning library for Apache Spark.

“The convergence of Artificial Intelligence with traditional HPC applications holds the promise of unlocking new scientific approaches and new breakthrough discoveries,” said Trish Damkroger, Vice President of Technical Computing at Intel. “This latest collaboration with Cray, a global leader in supercomputing, will further accelerate this convergence and help extend the reach of AI tools.”

For more information on Cray’s solutions for machine learning and deep learning, please visit the Cray website at www.cray.com.

About Cray Inc.

Global supercomputing leader Cray Inc. (Nasdaq:CRAY) provides innovative systems and solutions enabling scientists and engineers in industry, academia and government to meet existing and future simulation and analytics challenges. Leveraging more than 40 years of experience in developing and servicing the world’s most advanced supercomputers, Cray offers a comprehensive portfolio of supercomputers and big data storage and analytics solutions delivering unrivaled performance, efficiency and scalability. Cray’s Adaptive Supercomputing vision is focused on delivering innovative next-generation products that integrate diverse processing technologies into a unified architecture, allowing customers to meet the market’s continued demand for realized performance. Go to www.cray.com for more information.


Source: Cray Inc.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

RSC Reports 500Tflops, Hot Water Cooled System Deployed at JINR

April 18, 2018

RSC, developer of supercomputers and advanced HPC systems based in Russia, today reported deployment of “the world's first 100% ‘hot water’ liquid cooled supercomputer” at Joint Institute for Nuclear Research (JI Read more…

By Staff

New Device Spots Quantum Particle ‘Fingerprint’

April 18, 2018

Majorana particles have been observed by university researchers employing a device consisting of layers of magnetic insulators on a superconducting material. The advance opens the door to controlling the elusive particle Read more…

By George Leopold

Cray Rolls Out AMD-Based CS500; More to Follow?

April 18, 2018

Cray was the latest OEM to bring AMD back into the fold with introduction today of a CS500 option based on AMD’s Epyc processor line. The move follows Cray’s introduction of an ARM-based system (XC-50) last November. Read more…

By John Russell

HPE Extreme Performance Solutions

Hybrid HPC is Speeding Time to Insight and Revolutionizing Medicine

High performance computing (HPC) is a key driver of success in many verticals today, and health and life science industries are extensively leveraging these capabilities. Read more…

Hennessy & Patterson: A New Golden Age for Computer Architecture

April 17, 2018

On Monday June 4, 2018, 2017 A.M. Turing Award Winners John L. Hennessy and David A. Patterson will deliver the Turing Lecture at the 45th International Symposium on Computer Architecture (ISCA) in Los Angeles. The Read more…

By Staff

Cray Rolls Out AMD-Based CS500; More to Follow?

April 18, 2018

Cray was the latest OEM to bring AMD back into the fold with introduction today of a CS500 option based on AMD’s Epyc processor line. The move follows Cray’ Read more…

By John Russell

IBM: Software Ecosystem for OpenPOWER is Ready for Prime Time

April 16, 2018

With key pieces of the IBM/OpenPOWER versus Intel/x86 gambit settling into place – e.g., the arrival of Power9 chips and Power9-based systems, hyperscaler sup Read more…

By John Russell

US Plans $1.8 Billion Spend on DOE Exascale Supercomputing

April 11, 2018

On Monday, the United States Department of Energy announced its intention to procure up to three exascale supercomputers at a cost of up to $1.8 billion with th Read more…

By Tiffany Trader

Cloud-Readiness and Looking Beyond Application Scaling

April 11, 2018

There are two aspects to consider when determining if an application is suitable for running in the cloud. The first, which we will discuss here under the title Read more…

By Chris Downing

Transitioning from Big Data to Discovery: Data Management as a Keystone Analytics Strategy

April 9, 2018

The past 10-15 years has seen a stark rise in the density, size, and diversity of scientific data being generated in every scientific discipline in the world. Key among the sciences has been the explosion of laboratory technologies that generate large amounts of data in life-sciences and healthcare research. Large amounts of data are now being stored in very large storage name spaces, with little to no organization and a general unease about how to approach analyzing it. Read more…

By Ari Berman, BioTeam, Inc.

IBM Expands Quantum Computing Network

April 5, 2018

IBM is positioning itself as a first mover in establishing the era of commercial quantum computing. The company believes in order for quantum to work, taming qu Read more…

By Tiffany Trader

FY18 Budget & CORAL-2 – Exascale USA Continues to Move Ahead

April 2, 2018

It was not pretty. However, despite some twists and turns, the federal government’s Fiscal Year 2018 (FY18) budget is complete and ended with some very positi Read more…

By Alex R. Larzelere

Nvidia Ups Hardware Game with 16-GPU DGX-2 Server and 18-Port NVSwitch

March 27, 2018

Nvidia unveiled a raft of new products from its annual technology conference in San Jose today, and despite not offering up a new chip architecture, there were still a few surprises in store for HPC hardware aficionados. Read more…

By Tiffany Trader

Inventor Claims to Have Solved Floating Point Error Problem

January 17, 2018

"The decades-old floating point error problem has been solved," proclaims a press release from inventor Alan Jorgensen. The computer scientist has filed for and Read more…

By Tiffany Trader

Researchers Measure Impact of ‘Meltdown’ and ‘Spectre’ Patches on HPC Workloads

January 17, 2018

Computer scientists from the Center for Computational Research, State University of New York (SUNY), University at Buffalo have examined the effect of Meltdown Read more…

By Tiffany Trader

Russian Nuclear Engineers Caught Cryptomining on Lab Supercomputer

February 12, 2018

Nuclear scientists working at the All-Russian Research Institute of Experimental Physics (RFNC-VNIIEF) have been arrested for using lab supercomputing resources to mine crypto-currency, according to a report in Russia’s Interfax News Agency. Read more…

By Tiffany Trader

How the Cloud Is Falling Short for HPC

March 15, 2018

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 I Read more…

By Chris Downing

Fast Forward: Five HPC Predictions for 2018

December 21, 2017

What’s on your list of high (and low) lights for 2017? Volta 100’s arrival on the heels of the P100? Appearance, albeit late in the year, of IBM’s Power9? Read more…

By John Russell

Chip Flaws ‘Meltdown’ and ‘Spectre’ Loom Large

January 4, 2018

The HPC and wider tech community have been abuzz this week over the discovery of critical design flaws that impact virtually all contemporary microprocessors. T Read more…

By Tiffany Trader

How Meltdown and Spectre Patches Will Affect HPC Workloads

January 10, 2018

There have been claims that the fixes for the Meltdown and Spectre security vulnerabilities, named the KPTI (aka KAISER) patches, are going to affect applicatio Read more…

By Rosemary Francis

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

Leading Solution Providers

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

March 19, 2018

Petaflop per second deep learning training performance on the NERSC (National Energy Research Scientific Computing Center) Cori supercomputer has given climate Read more…

By Rob Farber

Lenovo Unveils Warm Water Cooled ThinkSystem SD650 in Rampup to LRZ Install

February 22, 2018

This week Lenovo took the wraps off the ThinkSystem SD650 high-density server with third-generation direct water cooling technology developed in tandem with par 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

HPC and AI – Two Communities Same Future

January 25, 2018

According to Al Gara (Intel Fellow, Data Center Group), high performance computing and artificial intelligence will increasingly intertwine as we transition to Read more…

By Rob Farber

New Blueprint for Converging HPC, Big Data

January 18, 2018

After five annual workshops on Big Data and Extreme-Scale Computing (BDEC), a group of international HPC heavyweights including Jack Dongarra (University of Te Read more…

By John Russell

US Plans $1.8 Billion Spend on DOE Exascale Supercomputing

April 11, 2018

On Monday, the United States Department of Energy announced its intention to procure up to three exascale supercomputers at a cost of up to $1.8 billion with th Read more…

By Tiffany Trader

Momentum Builds for US Exascale

January 9, 2018

2018 looks to be a great year for the U.S. exascale program. The last several months of 2017 revealed a number of important developments that help put the U.S. Read more…

By Alex R. Larzelere

Google Chases Quantum Supremacy with 72-Qubit Processor

March 7, 2018

Google pulled ahead of the pack this week in the race toward "quantum supremacy," with the introduction of a new 72-qubit quantum processor called Bristlecone. Read more…

By Tiffany Trader

  • arrow
  • Click Here for More Headlines
  • arrow
Share This