A Letter from Steve Barber, CEO of Xyratex to the HPC Community

By Nicole Hemsoth

September 12, 2011

Hello,

Xyratex Steve Barber

I would like to take this opportunity to tell you about Xyratex. We’ve been developing data storage products for over 25 years and deliver enterprise storage solutions to the leading storage and server companies including, Dell, EMC, HP, IBM and Network Appliance. Xyratex has been ranked as the #1 supplier of OEM disk storage systems for the past 3 years in a row, supplying 19% of all worldwide enterprise OEM data storage (over 3,000 Petabytes shipped last year).  With approximately 2,000 employees based in development and manufacturing facilities throughout Europe, North America and Asia, Xyratex is well positioned to meet the needs of our customers.

Xyratex has a long history of designing, developing and manufacturing modular, scalable, high-density data storage solutions for server and storage OEMs. Our products are generally aimed at the enterprise market where the need for reliability, availability and serviceability is important to the viability of the overall solution.

We’ve been successfully executing on our strategy to complement our storage systems business by providing our OEMs with a portfolio of data storage solutions to address the needs of high growth markets. The implementation of this strategy commenced nearly 4 years ago with the introduction of the OneStor™ family of Integrated Application Platforms.  These platforms enable our OEM customers to integrate software and storage into a single solution. The next phase of our strategy was to provide an integrated storage solution with both hardware and software content that addressed the needs of a high growth market.

Early on we observed that the High Performance Computing (HPC) market was a dynamic opportunity at the very core of global innovation. As we engaged with customers we identified a clear need for a better data storage solution with improved performance and reliability. We discovered that the way data storage was being implemented at many HPC sites was unduly complicated in terms of initial installation, performance optimization and ongoing management. Users had to contend with days and/or weeks of tweaking to get the system up and running stably. After this initial installation period was complete, the ongoing management of the system was also complicated by the lack of coherent management tools.

The HPC data storage market provided an ideal opportunity for Xyratex to deliver innovation in terms of performance, availability and ease of management based on Xyratex proven enterprise class storage application platform technology. Xyratex made a significant investment in addressing these needs. With the acquisition of ClusterStor Inc. in mid 2010, Xyratex acquired many of the leading experts in the Lustre® community, including Peter Braam the inventor of Lustre. Lustre is recognized as the world’s #1 parallel file system and is designed for I/O performance and scaling beyond the limits of traditional storage technology. With this expertise, we’ve been able to establish a truly world class clustered file system development and support organization.

Our investment did not stop there. We now have nearly 150 engineers working on our HPC program; we have developed a purpose-built high density storage platform that is optimized for both performance and availability, and we have developed a new management framework to address the complexity issues we identified in HPC. We believe that this investment, allied to our extensive core capabilities in storage technology, has enabled us to deliver an HPC data storage solution that provides a superior combination of capability, performance and ease of use – the ClusterStor™ 3000.

The ClusterStor 3000 is an integrated rack-scale Lustre storage solution, engineered for HPC environments, that provides unprecedented density of capacity and bandwidth. It uses half the footprint, while providing twice the end-to-end bandwidth, of traditional solutions. This highly integrated subsystem provides unprecedented performance, reliability and availability in the industry’s most dense storage solution at over 2 Petabytes per rack.

Key to the ClusterStor 3000’s design is its unique scale-out storage architecture which starts with the consolidation of Lustre servers, RAID controllers and disk enclosures – which are delivered as three separate components in traditional systems – into a single storage subsystem. ClusterStor’s scale-out storage architecture facilitates configurations from terabytes to tens of petabytes and from 2.5 gigabytes per second to 1 terabyte per second of actual Lustre file system throughput, delivering the best performance and capacity in the industry.

ClusterStor Manager is a management framework that is included with the ClusterStor 3000. ClusterStor Manager’s distributed and tightly integrated architecture provides a new class of management ease that has not been seen before in Lustre administration. The linear scaling approach, coupled with simplified management, allows users to begin leveraging their Lustre storage cluster in a fraction of the time of a traditional solution.

ClusterStor’s architecture delivers three interrelated benefits to the HPC environment: linear performance scalability, ease of installation and management, and enhanced storage system reliability at scale.

I’d like to invite you to learn more about Xyratex and the ClusterStor 3000 by visiting us at SC‘11 (booth 104) or our website www.xyratex.com. The ClusterStor 3000 will be available through our OEM partners in late fall.

Kind Regards,

 Xyratex Steve Barber

Steve Barber
CEO

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!

Tech Giants Outline Battle Plans for Future HPC Market

August 21, 2017

Four companies engaged in a cage fight for leadership in the emerging HPC market of the 2020s are, despite deep differences in some areas, in violent agreement on at least one thing: the power consumption and latency pen Read more…

By Doug Black

Geospatial Data Research Leverages GPUs

August 17, 2017

MapD Technologies, the GPU-accelerated database specialist, said it is working with university researchers on leveraging graphics processors to advance geospatial analytics. The San Francisco-based company is collabor Read more…

By George Leopold

Intel, NERSC and University Partners Launch New Big Data Center

August 17, 2017

A collaboration between the Department of Energy’s National Energy Research Scientific Computing Center (NERSC), Intel and five Intel Parallel Computing Centers (IPCCs) has resulted in a new Big Data Center (BDC) that Read more…

By Linda Barney

HPE Extreme Performance Solutions

Leveraging Deep Learning for Fraud Detection

Advancements in computing technologies and the expanding use of e-commerce platforms have dramatically increased the risk of fraud for financial services companies and their customers. Read more…

Google Releases Deeplearn.js to Further Democratize Machine Learning

August 17, 2017

Spreading the use of machine learning tools is one of the goals of Google’s PAIR (People + AI Research) initiative, which was introduced in early July. Last week the cloud giant released deeplearn.js as part of that in Read more…

By John Russell

Tech Giants Outline Battle Plans for Future HPC Market

August 21, 2017

Four companies engaged in a cage fight for leadership in the emerging HPC market of the 2020s are, despite deep differences in some areas, in violent agreement Read more…

By Doug Black

Microsoft Bolsters Azure With Cloud HPC Deal

August 15, 2017

Microsoft has acquired cloud computing software vendor Cycle Computing in a move designed to bring orchestration tools along with high-end computing access capabilities to the cloud. Terms of the acquisition were not disclosed. Read more…

By George Leopold

HPE Ships Supercomputer to Space Station, Final Destination Mars

August 14, 2017

With a manned mission to Mars on the horizon, the demand for space-based supercomputing is at hand. Today HPE and NASA sent the first off-the-shelf HPC system i Read more…

By Tiffany Trader

AMD EPYC Video Takes Aim at Intel’s Broadwell

August 14, 2017

Let the benchmarking begin. Last week, AMD posted a YouTube video in which one of its EPYC-based systems outperformed a ‘comparable’ Intel Broadwell-based s Read more…

By John Russell

Deep Learning Thrives in Cancer Moonshot

August 8, 2017

The U.S. War on Cancer, certainly a worthy cause, is a collection of programs stretching back more than 40 years and abiding under many banners. The latest is t Read more…

By John Russell

IBM Raises the Bar for Distributed Deep Learning

August 8, 2017

IBM is announcing today an enhancement to its PowerAI software platform aimed at facilitating the practical scaling of AI models on today’s fastest GPUs. Scal Read more…

By Tiffany Trader

IBM Storage Breakthrough Paves Way for 330TB Tape Cartridges

August 3, 2017

IBM announced yesterday a new record for magnetic tape storage that it says will keep tape storage density on a Moore's law-like path far into the next decade. Read more…

By Tiffany Trader

AMD Stuffs a Petaflops of Machine Intelligence into 20-Node Rack

August 1, 2017

With its Radeon “Vega” Instinct datacenter GPUs and EPYC “Naples” server chips entering the market this summer, AMD has positioned itself for a two-head Read more…

By Tiffany Trader

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

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

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

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

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

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

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

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

Leading Solution Providers

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

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

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

IBM Clears Path to 5nm with Silicon Nanosheets

June 5, 2017

Two years since announcing the industry’s first 7nm node test chip, IBM and its research alliance partners GlobalFoundries and Samsung have developed a proces Read more…

By Tiffany Trader

Messina Update: The US Path to Exascale in 16 Slides

April 26, 2017

Paul Messina, director of the U.S. Exascale Computing Project, provided a wide-ranging review of ECP’s evolving plans last week at the HPC User Forum. Read more…

By John Russell

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

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