Markley, Cray Partner for Supercomputing as a Service

May 16, 2017

SEATTLE, Wash., and BOSTON, Mass., May 16, 2017 — Global supercomputer leader, Cray Inc. (Nasdaq: CRAY) and Markley, a premier provider of data center space and cloud computing services, today announced a partnership to providesupercomputing as a service solutions that combine the power of Cray supercomputers with the premier hosting capabilities of Markley. Through thepartnership, Markley will offer Cray supercomputing technologies, as a hosted offering, and both companies will collaborate to build and develop industry-specific solutions.

The availability of sought-after supercomputing capabilities both on-premises and in the cloud has become increasingly desirable across a range of industries,including life sciences, bio-pharma, aerospace, government, banking, and more – as organizations work to analyze complex data sets and research, and reduce time to market for new products. Through the new supercomputing as a service offering, Cray and Markley will make it easier and more affordable for research scientists, data scientists, and IT executives to access dedicated, powerful compute and analytic capability to increase time to discovery and decision.

“The need for supercomputers has never been greater,” said Patrick W. Gilmore, chief technology officer at Markley. “For the life sciences industry especially, speed to market is critical. By making supercomputing and big data analytics available in a hosted model, Markley and Cray are providing organizations with the opportunity to reap significant benefits, both economically and operationally.”

Headquartered in Boston, Markley delivers best-of-breed cloud and data center offerings, including its enterprise-class, on-demand Infrastructure-as-a-Service solution that helps organizations maximize IT performance, reduce upfront capital expenses, increase speed to market, and improve business continuity. In addition, Markley guarantees 100 percent uptime, backed by the industry’s best Service Level Agreement.

“Cray and Markley are changing the game,” said Fred Kohout, Cray’s senior vice president of products and chief marketing officer. “Now any company that has needed supercomputing capability to address their business-critical research and development needs can easily and efficiently harness the power of a Cray supercomputer. We are excited to partner with Markley to create this new market for Cray.”

The first industry solution built by Cray and hosted by Markley will feature the Cray Urika-GX for life sciences – a complete, pre-integrated hardware-software solution. In addition, Cray has integrated the Cray Graph Engine (CGE) with essential pattern-matching capability and tuned it to leverage the highly-scalable parallelization and performance of the Urika-GX platform. Cray and Markley have plans for the collaboration to quickly expand and include Cray’s full range of infrastructure solutions.

The Cray Urika-GX system is the first agile analytics platform that fuses supercomputing abilities with open enterprise standards to provide an unprecedented combination of versatility and speed for high-frequency insights, tailor-made for life sciences research and discovery.

“Research and development, particularly within life sciences, biotech and pharmaceutical companies, is increasingly data driven. Advances in genome sequencing technology mean that the sheer volume of data and analysis continues to strain legacy infrastructures,” said Chris Dwan, who led research computing at both the Broad Institute and the New York Genome Center. “The shortest path to breakthroughs in medicine is to put the very best technologies in the hands of the researchers, on their own schedule. Combining the strengths of Cray and Markley into supercomputing as a service does exactly that.”

“HPC environments are increasingly being used for high-performance analytics use cases that require real-time decision making such as cybersecurity, real-time marketing, digital twins, and emerging needs driven by big data and Internet of Things (IoT) use cases. Augmenting your on-premises infrastructure with HPC clouds enables you to meet your existing SLAs while scaling up performance-driven analytics for emerging use cases,” notes Gartner, in Follow These Three Steps to Optimize Business Value from Your HPC Environments, by Chirag Dekate, September 16, 2016.

Cray and Markley will be hosting meetings to discuss the new supercomputing-as-a-service solution at Bio-IT World Conference and Expo, May 23-25, 2017, in Boston, at booth #452.

Cray and Markley will also host a live webinar, “Power Your Analytics with Supercomputing as a Service,” June 13th at 10:00 a.m. PDT. You can register for the webinar here.

For more information and to speak to a Cray or Markley sales representative, please contact us at Cray.com or at Markley.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 towww.cray.com for more information.

About Markley

Markley is a premier provider of mission-critical data center facilities and cloud computing services. The company guarantees clients 100 percent uptime and is trusted by Fortune 1000 companies, major global consumer brands, and the world’s most cutting-edge research firms to deliver high availability, consistent performance, and unparalleled client service. Markley is the only company in the world that hosts a supercomputing-as-a-service solution. Founded in 1992, the company owns and operates nearly 1.5 million square feet of highly secure space and multiple, strategically located cloud point-of-deliveries (PODs) covering all regions and time zones. To learn more about Markley, please visit: www.markleygroup.com.  


Source: Cray

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!

PRACEdays Reflects Europe’s HPC Commitment

May 25, 2017

More than 250 attendees and participants came together for PRACEdays17 in Barcelona last week, part of the European HPC Summit Week 2017, held May 15-19 at t Read more…

By Tiffany Trader

Russian Researchers Claim First Quantum-Safe Blockchain

May 25, 2017

The Russian Quantum Center today announced it has overcome the threat of quantum cryptography by creating the first quantum-safe blockchain, securing cryptocurr Read more…

By Doug Black

Google Debuts TPU v2 and will Add to Google Cloud

May 25, 2017

Not long after stirring attention in the deep learning/AI community by revealing the details of its Tensor Processing Unit (TPU), Google last week announced the Read more…

By John Russell

Nvidia CEO Predicts AI ‘Cambrian Explosion’

May 25, 2017

The processing power and cloud access to developer tools used to train machine-learning models are making artificial intelligence ubiquitous across computing pl Read more…

By George Leopold

HPE Extreme Performance Solutions

Exploring the Three Models of Remote Visualization

The explosion of data and advancement of digital technologies are dramatically changing the way many companies do business. With the help of high performance computing (HPC) solutions and data analytics platforms, manufacturers are developing products faster, healthcare providers are improving patient care, and energy companies are improving planning, exploration, and production. Read more…

PGAS Use will Rise on New H/W Trends, Says Reinders

May 25, 2017

If you have not already tried using PGAS, it is time to consider adding PGAS to the programming techniques you know. Partitioned Global Array Space, commonly kn Read more…

By James Reinders

Exascale Escapes 2018 Budget Axe; Rest of Science Suffers

May 23, 2017

President Trump's proposed $4.1 trillion FY 2018 budget is good for U.S. exascale computing development, but grim for the rest of science and technology spend Read more…

By Tiffany Trader

Hedge Funds (with Supercomputing help) Rank First Among Investors

May 22, 2017

In case you didn’t know, The Quants Run Wall Street Now, or so says a headline in today’s Wall Street Journal. Quant-run hedge funds now control the largest Read more…

By John Russell

IBM, D-Wave Report Quantum Computing Advances

May 18, 2017

IBM said this week it has built and tested a pair of quantum computing processors, including a prototype of a commercial version. That progress follows an an Read more…

By George Leopold

PRACEdays Reflects Europe’s HPC Commitment

May 25, 2017

More than 250 attendees and participants came together for PRACEdays17 in Barcelona last week, part of the European HPC Summit Week 2017, held May 15-19 at t Read more…

By Tiffany Trader

PGAS Use will Rise on New H/W Trends, Says Reinders

May 25, 2017

If you have not already tried using PGAS, it is time to consider adding PGAS to the programming techniques you know. Partitioned Global Array Space, commonly kn Read more…

By James Reinders

Exascale Escapes 2018 Budget Axe; Rest of Science Suffers

May 23, 2017

President Trump's proposed $4.1 trillion FY 2018 budget is good for U.S. exascale computing development, but grim for the rest of science and technology spend Read more…

By Tiffany Trader

Cray Offers Supercomputing as a Service, Targets Biotechs First

May 16, 2017

Leading supercomputer vendor Cray and datacenter/cloud provider the Markley Group today announced plans to jointly deliver supercomputing as a service. The init Read more…

By John Russell

HPE’s Memory-centric The Machine Coming into View, Opens ARMs to 3rd-party Developers

May 16, 2017

Announced three years ago, HPE’s The Machine is said to be the largest R&D program in the venerable company’s history, one that could be progressing tow Read more…

By Doug Black

What’s Up with Hyperion as It Transitions From IDC?

May 15, 2017

If you’re wondering what’s happening with Hyperion Research – formerly the IDC HPC group – apparently you are not alone, says Steve Conway, now senior V Read more…

By John Russell

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

May 10, 2017

At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…

By Tiffany Trader

HPE Launches Servers, Services, and Collaboration at GTC

May 10, 2017

Hewlett Packard Enterprise (HPE) today launched a new liquid cooled GPU-driven Apollo platform based on SGI ICE architecture, a new collaboration with NVIDIA, a Read more…

By John Russell

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Just how close real-wo Read more…

By John Russell

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the cam Read more…

By John Russell

Google Pulls Back the Covers on Its First Machine Learning Chip

April 6, 2017

This week Google released a report detailing the design and performance characteristics of the Tensor Processing Unit (TPU), its custom ASIC for the inference Read more…

By Tiffany Trader

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its a Read more…

By Tiffany Trader

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

Since our first formal product releases of OSPRay and OpenSWR libraries in 2016, CPU-based Software Defined Visualization (SDVis) has achieved wide-spread adopt Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Last week, Google reported that its custom ASIC Tensor Processing Unit (TPU) was 15-30x faster for inferencing workloads than Nvidia's K80 GPU (see our coverage Read more…

By Tiffany Trader

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

May 10, 2017

At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…

By Tiffany Trader

TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

February 17, 2017

Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a ne Read more…

By Tiffany Trader

Leading Solution Providers

Facebook Open Sources Caffe2; Nvidia, Intel Rush to Optimize

April 18, 2017

From its F8 developer conference in San Jose, Calif., today, Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. Caffe2 is Read more…

By Tiffany Trader

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which w Read more…

By Tiffany Trader

Is Liquid Cooling Ready to Go Mainstream?

February 13, 2017

Lost in the frenzy of SC16 was a substantial rise in the number of vendors showing server oriented liquid cooling technologies. Three decades ago liquid cooling Read more…

By Steve Campbell

MIT Mathematician Spins Up 220,000-Core Google Compute Cluster

April 21, 2017

On Thursday, Google announced that MIT math professor and computational number theorist Andrew V. Sutherland had set a record for the largest Google Compute Eng Read more…

By Tiffany Trader

US Supercomputing Leaders Tackle the China Question

March 15, 2017

As China continues to prove its supercomputing mettle via the Top500 list and the forward march of its ambitious plans to stand up an exascale machine by 2020, Read more…

By Tiffany Trader

HPC Technique Propels Deep Learning at Scale

February 21, 2017

Researchers from Baidu's Silicon Valley AI Lab (SVAIL) have adapted a well-known HPC communication technique to boost the speed and scale of their neural networ Read more…

By Tiffany Trader

DOE Supercomputer Achieves Record 45-Qubit Quantum Simulation

April 13, 2017

In order to simulate larger and larger quantum systems and usher in an age of "quantum supremacy," researchers are stretching the limits of today's most advance Read more…

By Tiffany Trader

Knights Landing Processor with Omni-Path Makes Cloud Debut

April 18, 2017

HPC cloud specialist Rescale is partnering with Intel and HPC resource provider R Systems to offer first-ever cloud access to Xeon Phi "Knights Landing" process Read more…

By Tiffany Trader

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