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!

Graphcore Readies Launch of 16nm Colossus-IPU Chip

July 20, 2017

A second $30 million funding round for U.K. AI chip developer Graphcore sets up the company to go to market with its “intelligent processing unit” (IPU) in 2017 with scale-up production for enterprise datacenters and Read more…

By Tiffany Trader

Fine-Tuning Severe Hail Forecasting with Machine Learning

July 20, 2017

Depending on whether you’ve been caught outside during a severe hail storm, the sight of greenish tinted clouds on the horizon may cause serious knots in the pit of your stomach, or at least give you pause. There’s g Read more…

By Sean Thielen

Trinity Supercomputer’s Haswell and KNL Partitions Are Merged

July 19, 2017

Trinity supercomputer’s two partitions – one based on Intel Xeon Haswell processors and the other on Xeon Phi Knights Landing – have been fully integrated are now available for use on classified work in the Nationa Read more…

By HPCwire Staff

Fujitsu Continues HPC, AI Push

July 19, 2017

Summer is well under way, but the so-called summertime slowdown, linked with hot temperatures and longer vacations, does not seem to have impacted Fujitsu's output. The Japanese multinational has made a raft of HPC and A Read more…

By Tiffany Trader

HPE Extreme Performance Solutions

HPE Servers Deliver High Performance Remote Visualization

Whether generating seismic simulations, locating new productive oil reservoirs, or constructing complex models of the earth’s subsurface, energy, oil, and gas (EO&G) is a highly data-driven industry. Read more…

Researchers Use DNA to Store and Retrieve Digital Movie

July 18, 2017

From abacus to pencil and paper to semiconductor chips, the technology of computing has always been an ever-changing target. The human brain is probably the computer we use most (hopefully) and understand least. This mon Read more…

By John Russell

The Exascale FY18 Budget – The Next Step

July 17, 2017

On July 12, 2017, the U.S. federal budget for its Exascale Computing Initiative (ECI) took its next step forward. On that day, the full Appropriations Committee of the House of Representatives voted to accept the recomme Read more…

By Alex R. Larzelere

Summer Reading: IEEE Spectrum’s Chip Hall of Fame

July 17, 2017

Take a trip down memory lane – the Mostek MK4096 4-kilobit DRAM, for instance. Perhaps processors are more to your liking. Remember the Sh-Boom processor (1988), created by Russell Fish and Chuck Moore, and named after Read more…

By John Russell

Women in HPC Luncheon Shines Light on Female-Friendly Hiring Practices

July 13, 2017

The second annual Women in HPC luncheon was held on June 20, 2017, during the International Supercomputing Conference in Frankfurt, Germany. The luncheon provides participants the opportunity to network with industry lea Read more…

By Tiffany Trader

Graphcore Readies Launch of 16nm Colossus-IPU Chip

July 20, 2017

A second $30 million funding round for U.K. AI chip developer Graphcore sets up the company to go to market with its “intelligent processing unit” (IPU) in Read more…

By Tiffany Trader

Fine-Tuning Severe Hail Forecasting with Machine Learning

July 20, 2017

Depending on whether you’ve been caught outside during a severe hail storm, the sight of greenish tinted clouds on the horizon may cause serious knots in the Read more…

By Sean Thielen

Fujitsu Continues HPC, AI Push

July 19, 2017

Summer is well under way, but the so-called summertime slowdown, linked with hot temperatures and longer vacations, does not seem to have impacted Fujitsu's out Read more…

By Tiffany Trader

Researchers Use DNA to Store and Retrieve Digital Movie

July 18, 2017

From abacus to pencil and paper to semiconductor chips, the technology of computing has always been an ever-changing target. The human brain is probably the com Read more…

By John Russell

The Exascale FY18 Budget – The Next Step

July 17, 2017

On July 12, 2017, the U.S. federal budget for its Exascale Computing Initiative (ECI) took its next step forward. On that day, the full Appropriations Committee Read more…

By Alex R. Larzelere

Women in HPC Luncheon Shines Light on Female-Friendly Hiring Practices

July 13, 2017

The second annual Women in HPC luncheon was held on June 20, 2017, during the International Supercomputing Conference in Frankfurt, Germany. The luncheon provid Read more…

By Tiffany Trader

Satellite Advances, NSF Computation Power Rapid Mapping of Earth’s Surface

July 13, 2017

New satellite technologies have completely changed the game in mapping and geographical data gathering, reducing costs and placing a new emphasis on time series Read more…

By Ken Chiacchia and Tiffany Jolley

Intel Skylake: Xeon Goes from Chip to Platform

July 13, 2017

With yesterday’s New York unveiling of the new “Skylake” Xeon Scalable processors, Intel made multiple runs at multiple competitive threats and strategic Read more…

By Doug Black

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

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

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

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

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

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

In this contributed perspective piece, Intel’s Jim Jeffers makes the case that CPU-based visualization is now widely adopted and as such is no longer a contrarian view, but is rather an exascale requirement. Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

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

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 the successor to Caffe, the deep learning framework developed by Berkeley AI Research and community contributors. Read more…

By Tiffany Trader

Leading Solution Providers

How ‘Knights Mill’ Gets Its Deep Learning Flops

June 22, 2017

Intel, the subject of much speculation regarding the delayed, rewritten or potentially canceled “Aurora” contract (the Argonne Lab part of the CORAL “ Read more…

By Tiffany Trader

Reinders: “AVX-512 May Be a Hidden Gem” in Intel Xeon Scalable Processors

June 29, 2017

Imagine if we could use vector processing on something other than just floating point problems.  Today, GPUs and CPUs work tirelessly to accelerate algorithms Read more…

By James Reinders

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 Engine (GCE) job. Sutherland ran the massive mathematics workload on 220,000 GCE cores using preemptible virtual machine instances. Read more…

By Tiffany Trader

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

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 cryptocurrencies like Bitcoin, along with classified government communications and other sensitive digital transfers. Read more…

By Doug Black

Groq This: New AI Chips to Give GPUs a Run for Deep Learning Money

April 24, 2017

CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing Unit (TPU), the computing world appears to be on the cusp of Read more…

By Alex Woodie

Six Exascale PathForward Vendors Selected; DoE Providing $258M

June 15, 2017

The much-anticipated PathForward awards for hardware R&D in support of the Exascale Computing Project were announced today with six vendors selected – AMD Read more…

By John Russell

Top500 Results: Latest List Trends and What’s in Store

June 19, 2017

Greetings from Frankfurt and the 2017 International Supercomputing Conference where the latest Top500 list has just been revealed. Although there were no major Read more…

By Tiffany Trader

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