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  1. #1
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    [EN] Azure passa a oferecer "Cray as a Service"

    Customers can run HPC, AI, and advanced analytics workloads at supercomputing scale avoiding datacenter constraints

    Jason Zander
    October 23, 2017

    I’m thrilled to share our new, exclusive partnership with Cray that will provide our customers unprecedented access to supercomputing capabilities in Azure to solve their toughest challenges in climate modeling, precision medicine, energy, manufacturing, and other scientific research.

    This announcement is yet another step to help our customers harness the power of HPC and AI in an agile and cost-effective way. At Microsoft, we believe access to Big Computing capabilities in the cloud has the power to transform many businesses and will be at the forefront of breakthrough experimentation and innovation in the decades to come. We’ve already made significant investments to support this vision over the last several years, including industry-leading network performance with InfiniBand, our recent acquisition of Cycle Computing to simplify management of hybrid HPC deployments, and our recent announcements around bringing leading edge GPUs to the public cloud.

    Microsoft and Cray are working together to bring customers the right combination of extreme performance, scalability, and elasticity. Customers can get a dedicated Cray XC or CS series supercomputers in Azure to run HPC and AI applications alongside their other cloud workloads directly on the Azure network. The Cray systems easily integrate with Azure Virtual Machines, Azure Data Lake storage, the Microsoft AI platform, and Azure Machine Learning services for rich workflows and collaboration. All of this provided in the cloud with the most datacenters worldwide, the most compliance certifications, and dedicated regions for government agencies and their partners.

    Only this partnership with Microsoft and Cray allows customers to run a broad array of hybrid workflows in the cloud, and be fully supported by the experts in enterprise cloud and HPC.

    https://azure.microsoft.com/en-us/bl...ming-to-azure/

  2. #2
    WHT-BR Top Member
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    PR: Cray and Microsoft Bring Supercomputing to Microsoft Azure

    SEATTLE and REDMOND, Wash., Oct. 23, 2017 (GLOBE NEWSWIRE) -- Global supercomputer leader Cray Inc. (Nasdaq:CRAY) today announced an exclusive strategic alliance with Microsoft Corp. (Nasdaq:MSFT) that gives enterprises the tools to enable a new era of discovery and insight, while broadening the availability of supercomputing to new markets and new customers. Under the partnership agreement, Microsoft and Cray will jointly engage with customers to offer dedicated Cray supercomputing systems in Microsoft Azure datacenters to enable customers to run AI, advanced analytics, and modeling and simulation workloads at unprecedented scale, seamlessly connected to the Azure cloud.

    Cray’s tightly coupled system architecture and Aries interconnect addresses the exponential demand for compute capability, real-time insights, and scalable performance needed by enterprises today. With this new partnership, Cray and Microsoft have made it easier for cloud customers to harness the power of supercomputing and multiply their problem-solving potential. Cray and Microsoft will also bring these advantages to a new set of customers who were previously unable to purchase or maintain an on-premises Cray system.

    The availability of Cray supercomputers in Azure empowers researchers, analysts, and scientists with the ability to train AI deep learning models in fields such as medical imaging and autonomous vehicles in a fraction of the time. Pharmaceutical and biotech scientists driving precision medicine discovery can now perform whole genome sequencing, shortening the time from computation to cure. Automotive and aerospace product engineers can now conduct crash simulation, computational fluid dynamic simulations, or build digital twins for rapid and precise product development and optimized maintenance. Geophysicists in energy companies can accelerate oil field analysis and reduce exploration risk through superior seismic imaging fidelity and faster reservoir characterization. All performed in days and minutes, not months and weeks.

    “Our partnership with Microsoft will introduce Cray supercomputers to a whole new class of customers that need the most advanced computing resources to expand their problem-solving capabilities, but want this new capability available to them in the cloud,” said Peter Ungaro, president and CEO of Cray. “Dedicated Cray supercomputers in Azure not only give customers all of the breadth of features and services from the leader in enterprise cloud, but also the advantages of running a wide array of workloads on a true supercomputer, the ability to scale applications to unprecedented levels, and the performance and capabilities previously only found in the largest on-premises supercomputing centers. The Cray and Microsoft partnership is expanding the accessibility of Cray supercomputers and gives customers the cloud-based supercomputing capabilities they need to increase their competitive advantage.”

    “Using the enterprise-proven power of Microsoft Azure, customers are running their most strategic workloads in our cloud,” said Jason Zander, corporate vice president, Microsoft Azure, Microsoft Corp. “By working with Cray to provide dedicated supercomputers in Azure, we are offering customers uncompromising performance and scalability that enables a host of new previously unimaginable scenarios in the public cloud. More importantly, we’re moving customers into a new era by empowering them to use HPC and AI to drive breakthrough advances in science, engineering and health.”

    As part of the partnership agreement, the Cray® XC™ and Cray CS™ supercomputers with attached Cray ClusterStor storage systems will be available for customer-specific provisioning in select Microsoft Azure datacenters, directly connected to the Microsoft Azure network. The Cray systems easily integrate with Azure Virtual Machines, Azure Data Lake storage, the Microsoft AI platform, and Azure Machine Learning services. Customers can also leverage the Cray Urika®-XC analytics software suite and CycleCloud for hybrid HPC management.

    For more information on the Microsoft and Cray partnership, please visit the Microsoft Azure blog, and the Cray in Azure page on 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.

    http://investors.cray.com/phoenix.zh...cle&ID=2310378
    Última edição por 5ms; 23-10-2017 às 16:32.

  3. #3
    WHT-BR Top Member
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    Cray is bringing its supercomputers to Microsoft Azure

    Frederic Lardinois
    2017-10-23

    Here’s some cloud computing news you probably didn’t see coming: Microsoft has partnered with Cray to bring that company’s supercomputers and its storage system to the Azure platform.

    When you think of Cray, chances are you are thinking about the company’s (somewhat overdesigned) machines from the ’70s and ’80s (most likely the circular ones with the benches around them). After a few ups and down and ownership changes in the ’90s, Cray has started to find its footing again, and its newest systems, like the XC and CS series, are now standards-based supercomputers that use Nvidia GPUs and Intel processors (and, on select models, this also includes FPGAs) to achieve peak performance of a petaflop or more in a single cabinet.

    Unsurprisingly, those machines are still extremely expensive, and Cray’s focus remains squarely on the high-performance computing needs of researchers in both academia and the industry. These days, this also often means running machine learning jobs on these Cray machines.

    You won’t be able to rent a Cray for just a few minutes to run your latest analytics batch job, though. Microsoft and Cray are planning to offer dedicated Cray systems in Microsoft’s data centers so that Cray’s users can easily access the rest of the Azure cloud services. Similarly, potential Cray users can now also get access to these machines without having to own and maintain a data center themselves. As a Microsoft spokesperson told me, each Cray system “will be custom configured to match the individual customer’s needs.”

    “Using the enterprise-proven power of Microsoft Azure, customers are running their most strategic workloads in our cloud,” said Jason Zander, corporate vice president, Microsoft Azure, Microsoft Corp., in today’s announcement. “By working with Cray to provide dedicated supercomputers in Azure, we are offering customers uncompromising performance and scalability that enables a host of new previously unimaginable scenarios in the public cloud. More importantly, we’re moving customers into a new era by empowering them to use HPC and AI to drive breakthrough advances in science, engineering and health.”

    It’s worth noting that this is the second time Cray has entered a partnership like this. The company is also making its machines available through Markley, a data center operator you may have never heard of, but that has been around since 1991 and currently manages more than 3 million square-feet of data center space across the U.S. and Europe.

    https://techcrunch.com/2017/10/23/azure-goes-cray/

  4. #4
    WHT-BR Top Member
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    Microsoft Azure customers now can run workloads on Cray supercomputers

    Mary Jo Foley
    October 23, 2017

    The pair announced on October 23 that customers in select Microsoft datacenters will have the option to use Cray XC and Cray CS supercomputers attached to Cray ClusterStor storage systems. The systems will be connected directly to Azure and will integrate with Azure virtual machines, Azure Data Lake storage, as well as with Microsoft's artificial intelligence (AI) and Machine Learning services.

    Microsoft and Cray are targeting customers who want to run high-performance computing, artificial intelligence, modeling simulations, and advanced analytics workloads "at supercomputing scale." This new Azure option is for customers who may be unable to purchase and maintain their own on-premises Cray systems.

    This isn't the first time Microsoft and Cray have worked together. Last December, Microsoft and Cray teamed on scaling the Microsoft Cognitive Tookit so it could run on Cray XC50 supercomputers. Back in 2005, Cray co-founder Burton Smith joined Microsoft and remains a Technical Fellow with the company, working on hardware, devices, and quantum computing.

    Microsoft also is working on giving Azure customers access to field-programmable gate array (FPGA) processing power for data-intensive tasks like deep-neural-networking. Microsoft is bringing its Brainwave AI framework on running on FPGAs to external developers in order to push the boundary of the types of AI-influenced services possible to deploy in the cloud, including computer vision, natural-language processing, and speech. Microsoft is aiming to make this technology commercially available to Azure users in 2018.

    PREVIOUS AND RELATED COVERAGE

    Microsoft partners with Cray to run deep learning algorithms on supercomputers (TechRepublic)
    Microsoft and Cray recently unveiled a collaborative work scaling the Microsoft Cognitive Toolkit to run on a Cray XC50 supercomputer, getting results faster then before.


    http://www.zdnet.com/article/microso...upercomputers/

  5. #5
    WHT-BR Top Member
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    Supercomputing-as-a-Service Now at Your Organization’s Fingertips

    Markley and Cray have partnered to offer the industry’s first supercomputing-as-a-service solution for organizations looking to take advantage of the benefits of a supercomputer at a more cost-effective price point.

    The need for supercomputers has never been greater. As industries including life sciences, bio-pharma, aerospace, government and banking are increasingly data driven, the ability to quickly analyze complex data sets and research has become a critical competitive differentiator. Markley and Cray’s supercomputing-as-a-service allows companies to access the dedicated, powerful compute and analytic capabilities of a supercomputer, without the typical upfront capital costs or infrastructure requirements. With this powerful solution, it is now easier and more affordable for researchers, data scientists and IT executives to shorten research cycles, improve discoveries, enhance decision-making and quickly bring products to market.


    Key Features

    Markley’s supercomputing-as-a-service solution combines the power of Cray supercomputers with the premier hosting capabilities of Markley. This includes:

    • Access to Cray’s Urika-GX, the first agile analytics platform that fuses supercomputing abilities with open enterprise standards
    • An integration with the Cray Graph Engine (CGE)™, with essential pattern-matching capability to leverage the serious parallelization and performance of the Urika-GX platform
    • An unprecedented combination of versatility and speed for high-frequency insights to empower research and discovery teams
    • Seamless integration with dedicated colocation environments for a comprehensive hybrid IT environment
    • High-performance bandwidth and cost-savings


    http://www.markleygroup.com/services/supercomputing


  6. #6
    WHT-BR Top Member
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    Cray Supercomputers One Step Closer to Cloud Users

    Nicole Hemsoth
    October 23, 2017

    Supercomputer maker Cray is always looking for ways to extend its reach outside of the traditional academic and government markets where the biggest deals are often made.

    From its forays into graph analytics appliances and more recently, machine and deep learning, the company has potential to exploit its long history building some of the world’s fastest machines. This has expanded into some new ventures wherein potential new Cray users can try on the company’s systems, including via an on-demand partnership with datacenter provider, Markley, and now, inside of Microsoft’s Azure datacenters.

    For Microsoft Azure cloud users looking to bolster modeling and simulation capabilities without adding more virtual instances or building an on-prem datacenter to host an HPC system, Cray has an interesting proposition. However, it is likely not what you think. These are not Azure datacenter-based on-demand systems, but rather dedicated Cray clusters that belong to the customer but are fully managed, serviced, and if in the contract, upgraded by Cray. This is great news for those who cannot build to suit a high power consumption cluster or for those that may be new to managing a large parallel file system in addition to the Cray Linux Environment, which is a slightly different animal for enterprise newbies to Cray.

    Via an exclusive arrangement between Microsoft and Cray, it is now possible to have a dedicated Cray XC or CS Storm supercomputer hosted in an Azure datacenter, managed and supported by Cray, with access to both the suite of Cray tooling, including newer offerings like the Eureka XC graph analytics framework. All of this is designed to mesh well with Azure tools and services, most notably Azure’s storage stack which can grab data that has been stored in the cloud and feed it into a customer’s simulation workloads running on the Cray systems.

    To some, this might sound like a strange way to access a Cray that is cloud-connected. After all, it seems logical for Cray to offer its clusters on demand in a multitenant fashion or at least rented by the hour. However, as the company’s Barry Bolding tells us, virtualizing a Cray machine is defeating the purpose. The parallelism and performance that come from such a tightly coupled system cannot be suitably broken into parts—from the compute to the storage system. He says that the company will keep exploring this as a possibility in the future but for now, there is enough demand from HPC users that are storing data and running some workflows in Azure but need a high performance computing boost.

    “This is about addressing new customer bases in addition to existing customers that are already using Azure to store data and for some workflows. There are many cloud customers that have increasing needs for scalable compute and they’re realizing that a dedicated resource is more cost-effective than using bursty Azure services,” Bolding explains. “This is also about those streaming a lot of data to the cloud but they also need modeling and simulation tightly coupled with their datasets on Azure.”

    We asked Bolding how common a use case like this will be. It is not easy to get statistics from either AWS or Microsoft about what percentage of applications are tightly-coupled, true HPC in nature, but one has to imagine it is still a rather limited number. He argues that offering Cray systems this way will have broader reach than we might think. “This brings supercomputing to the customer that doesn’t have or hasn’t had a Cray; they don’t have to worry about the datacenter. There are many customers that fit this bill whose resource requirements are growing to the point that it makes cost sense to have a dedicated resource for simulation and modeling. They can buy an on-prem supercomputer, buy more cloud resources, both of which are expensive when they can purchase a Cray, put that in an Azure datacenter where they are already running their workloads and get out of that management.

    Again, colocation is nothing new, even if it is unique to see high-end dedicated supercomputers added to the mix. Cray is counting on an increasing number of modeling and simulation users who have hitherto used only cloud or cloud cluster resources due to cost constraints. With more options for HPC cloud users in terms of on-demand and public cloud, it will be interesting to see who adopts this option and in what industry, as well as whether these users have ever had experience with Cray supercomputers.

    https://www.nextplatform.com/2017/10...r-cloud-users/

    IMO não difere "muito" do arranjo AWS/VMware ...

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