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By: IBM     Published Date: Jun 05, 2014
This webcast short spotlights ways you can accelerate results and optimize your infrastructure and how IBM Platform Computing software and IBM Technical Computing solutions are helping to simplify the complexity of deploying and managing a high-performance IT infrastructure.
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     IBM
By: IBM     Published Date: Jun 05, 2014
IBM NeXtscale System is changing system design dynamics in the HPC marketplace with ultra-dense servers. Enterprises looking for raw computing power and throughput to handle technical computing, cloud, grid and analytics should evaluate this new ultra-dense, highly scalable systems design. Read the paper by Clabby Analytics to learn more.
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     IBM
By: IBM     Published Date: Jun 05, 2014
Are infrastructure limitations holding you back? - Users struggling with access to sufficient compute resources - Resources tapped out during peak demand times - Lack of budget, space or power to the environment IBM recently announced a new Platform Computing cloud service delivering hybrid cloud optimized for analytics and technical computing applications. The offering provides: - Ready to run IBM Platform LSF & Symphony clusters in the cloud - Seamless workload management, on premise and in the cloud - 24x7 cloud operation technical support - Dedicated, isolated physical machines for complete security Join us for this brief 20-minute webcast to learn how IBM offers a complete end-to-end hybrid cloud solution that may be key to improving your organization’s effectiveness and expediting time to market for your products.
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     IBM
By: IBM     Published Date: Aug 27, 2014
Are infrastructure limitations holding you back? Users struggling with access to sufficient compute resources Resources tapped out during peak demand times Lack of budget, space or power to the environment IBM recently announced a new Platform Computing cloud service delivering hybrid cloud optimized for analytics and technical computing applications. The offering provides: Ready to run IBM Platform LSF & Symphony clusters in the cloud Seamless workload management, on premise and in the cloud 24x7 cloud operation technical support Dedicated, isolated physical machines for complete security Join us for this brief 20-minute webcast to learn how IBM offers a complete end-to-end hybrid cloud solution that may be key to improving your organization’s effectiveness and expediting time to market for your products.
Tags : ibm, hybrid cloud
     IBM
By: IBM     Published Date: Sep 02, 2014
Whether engaged in genome sequencing, drug design, product analysis or risk management, life sciences research needs high-performance technical environments with the ability to process massive amounts of data and support increasingly sophisticated simulations and analyses. Learn how IBM solutions such as IBM® Platform Computing™ high-performance cluster, grid and high-performance computing (HPC) cloud management software can help life sciences organizations transform and integrate their compute environments to develop products better, faster and at less expense.
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     IBM
By: IBM     Published Date: Sep 16, 2015
6 criteria for evaluating a high-performance cloud services providers Engineering, scientific, analytics, big data and research workloads place extraordinary demands on technical and high-performance computing (HPC) infrastructure. Supporting these workloads can be especially challenging for organizations that have unpredictable spikes in resource demand, or need access to additional compute or storage resources for a project or to support a growing business. Software Defined Infrastructure (SDI) enables organizations to deliver HPC services in the most efficient way possible, optimizing resource utilization to accelerate time to results and reduce costs. SDI is the foundation for a fully integrated environment, optimizing compute, storage and networking infrastructure to quickly adapt to changing business requirements, and dynamically managing workloads and data, transforming a s
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     IBM
By: IBM     Published Date: Sep 16, 2015
Are you trying to support more variable workloads than your environment can handle? Can you benefit from a high performance cluster, but do not have the budget or resources to deploy and manage technical computing infrastructure? Are you running out of data center space but still need to grow your compute capacity? If you want answers to any of these questions, then please join us for an informative webinar describing the advantages and pitfalls of relocating a high performance workload to the cloud. View this webinar to learn: - Why general purpose clouds are insufficient for technical computing analytics and Hadoop workloads; - How high performance clouds can improve your profitability and give you a competitive edge; - How to ensure that your cloud environment is secure; - How to evaluate which applications are suitable for a hybrid or public cloud environment; - How to get started and choose a service provider.
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     IBM
By: IBM     Published Date: May 20, 2015
Are you trying to support more variable workloads than your environment can handle? Can you benefit from a high performance cluster, but do not have the budget or resources to deploy and manage technical computing infrastructure? Are you running out of data center space but still need to grow your compute capacity? If you want answers to any of these questions, then please join us for an informative webinar describing the advantages and pitfalls of relocating a high performance workload to the cloud. View this webinar to learn: - Why general purpose clouds are insufficient for technical computing analytics and Hadoop workloads; - How high performance clouds can improve your profitability and give you a competitive edge; - How to ensure that your cloud environment is secure; - How to evaluate which applications are suitable for a hybrid or public cloud environment; - How to get started and choose a service provider.
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     IBM
By: IBM     Published Date: May 20, 2015
Assembling a clustered environment can be complex due to the many software components that are required to enable technical and high performance computing (HPC) applications to run effectively. This webcast will demonstrate how IBM Platform Computing products simplify cluster deployment, use and management, bringing high performance capabilities to both experienced and new HPC administrators and users. We will also present examples of companies utilizing Platform Computing software today, to improve performance and utilization of their HPC environment while reducing costs.
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     IBM
By: IBM     Published Date: May 20, 2015
Are infrastructure limitations holding you back? Users struggling with access to sufficient compute resources Resources tapped out during peak demand times Lack of budget, space or power to the environment IBM recently announced a new Platform Computing cloud service delivering hybrid cloud optimized for analytics and technical computing applications. The offering provides: Ready to run IBM Platform LSF & Symphony clusters in the cloud Seamless workload management, on premise and in the cloud 24x7 cloud operation technical support Dedicated, isolated physical machines for complete security Join us for this brief 20-minute webcast to learn how IBM offers a complete end-to-end hybrid cloud solution that may be key to improving your organization’s effectiveness and expediting time to market for your products.
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     IBM
By: Adaptive Computing     Published Date: Feb 21, 2014
Big data applications represent a fast-growing category of high-value applications that are increasingly employed by business and technical computing users. However, they have exposed an inconvenient dichotomy in the way resources are utilized in data centers. Conventional enterprise and web-based applications can be executed efficiently in virtualized server environments, where resource management and scheduling is generally confined to a single server. By contrast, data-intensive analytics and technical simulations demand large aggregated resources, necessitating intelligent scheduling and resource management that spans a computer cluster, cloud, or entire data center. Although these tools exist in isolation, they are not available in a general-purpose framework that allows them to inter operate easily and automatically within existing IT infrastructure.
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     Adaptive Computing
By: IBM     Published Date: Nov 14, 2014
The necessary compute power to drive modern biomedical research is a formidable and familiar challenge throughout the life sciences. Underlying infrastructures must evolve to keep pace with innovation. In such demanding HPC environments, Cloud computing technologies represent a powerful approach to managing technical computing resources. This paper shares valuable insight to life science centers leveraging cloud concepts to manage their infrastructure.
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     IBM
By: IBM     Published Date: Feb 13, 2015
To quickly and economically meet new and peak demands, Platform LSF (SaaS) and Platform Symphony (SaaS) workload management as well as Elastic Storage on Cloud data management software can be delivered as a service, complete with SoftLayer cloud infrastructure and 24x7 support for technical computing and service-oriented workloads. Watch this demonstration to learn how the IBM Platform Computing Cloud Service can be used to simplify and accelerate financial risk management using IBM Algorithmics.
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     IBM
By: IBM     Published Date: Feb 13, 2015
Value is migrating throughout the IT industry from hardware to software and services. High Performance Computing (HPC) is no exception. IT solution providers must position themselves to maximize their delivery of business value to their clients – particularly industrial customers who often use several applications that must be integrated in a business workflow. This requires systems and hardware vendors to invest in making their infrastructure “application ready”. With its Application Ready solutions, IBM is outflanking competitors in Technical Computing and fast-tracking the delivery of client business value by providing an expertly designed, tightly integrated and performance optimized architecture for several key industrial applications. These Application Ready solutions come with a complete high-performance cluster including servers, network, storage, operating system, management software, parallel file systems and other run time libraries, all with commercial-level solution s
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     IBM
By: Panasas     Published Date: Oct 02, 2014
HPC and technical computing environments require the collection, storage,and transmission of large-scale datasets. To meet these demands, datacenter architects must consider how increasing storage capacity over time will affect HPC workloads, performance, and system availability. While many enterprises have looked to scale-up NAS to meet their storage needs, this approach can lead to data islands that make it difficult to share data. Distributed, scale-out storage was developed to get around the technology limitations of scale-up NAS architectures.
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     Panasas
By: Dell and Intel®     Published Date: Nov 18, 2015
Unleash the extreme performance and scalability of the Lustre® parallel file system for high performance computing (HPC) workloads, including technical ‘big data’ applications common within today’s enterprises. The Dell Storage for HPC with Intel® Enterprise Edition (EE) for Lustre Solution allows end-users that need the benefits of large–scale, high bandwidth storage to tap the power and scalability of Lustre, with its simplified installation, configuration, and management features that are backed by Dell and Intel®.
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     Dell and Intel®
By: SGI     Published Date: Mar 25, 2016
This paper offers those considering HPC, both users and managers, guidance when considering the best way to deploy an HPC solution. Three important questions are suggested that help determine the most appropriate HPC design (scale-up or scale out) that meets your goal and accelerates your discoveries.
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     SGI
By: Avere Systems     Published Date: Jun 27, 2016
This white paper reviews common HPC-environment challenges and outlines solutions that can help IT professionals deliver best-in-class HPC cloud solutions—without undue stress and organizational chaos. The paper: • Identifies current issues—including data management, data center limitations, user expectations, and technology shifts- that stress IT teams and existing infrastructure across industries and HPC applications • Describes the potential cost savings, operational scale, and new functionality that cloud solutions can bring to big compute • Characterizes technical and other barriers to an all cloud infrastructure and describes how IT teams can leverage a hybrid cloud for compute power, maximum flexibility, and protection against locked-in scenarios
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     Avere Systems
By: SGI     Published Date: Mar 25, 2016
This paper offers those considering HPC, both users and managers, guidance when considering the best way to deploy an HPC solution. Three important questions are suggested that help determine the most appropriate HPC design (scale-up or scale out) that meets your goal and accelerates your discoveries.
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     SGI
By: Intel     Published Date: Aug 26, 2019
While NFV remains both technically and business relevant today, many communications service providers (CoSPs) have found implementation very complex. NFV implementation will require further evolution in order to fully address operational and business requirements. This white paper reviews factors currently driving the network virtualization evolution and examines the impact of adopting an innovative model based on software and hardware disaggregation.
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     Intel
By: Intel     Published Date: Sep 25, 2019
While NFV remains both technically and business relevant today, many communications service providers (CoSPs) have found implementation very complex. NFV implementation will require further evolution in order to fully address operational and business requirements. This white paper reviews factors currently driving the network virtualization evolution and examines the impact of adopting an innovative model based on software and hardware disaggregation.
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     Intel
By: Group M_IBM Q4'19     Published Date: Sep 25, 2019
Agile Integration Methodology: Container-Based and Microservices-Aligned Lightweight Integration Runtimes - This paper explores the merits of agile integration architecture--a container-based, decentralized, and microservices-aligned approach for integration solutions that meets the demands of agility, scalability, and resilience required by digital transformation.
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     Group M_IBM Q4'19
By: SAS     Published Date: Sep 05, 2019
Envision this situation at a growing bank. Its competitive landscape demands an agile response to evolving customer needs. Fortunately, analytically minded professionals in different divisions are seeing results that positively affect the bottom line. • A data scientist in the business development team analyzes data to create customized • experiences for premium customers. • A digital marketer tracks and influences the customer journey for prospective • mortgage customers. • A risk analyst builds risk models for the bank’s loan portfolios. • A data analyst examines data about local customers. • A technical architect defines a new system to protect bank data from internal and • external cyberthreats. • An application developer builds a new mobile app for online customer portfolio • management. Between them, these employees might be using more than a dozen packages for analytics and data management.
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     SAS
By: KPMG     Published Date: Oct 04, 2019
New technologies have the potential to transform the finance function. But are financial reporting teams ready to embrace them? We surveyed nearly 100 technical accounting and financial reporting professionals to find out. Read this report to learn: • How automation is being integrated into working processes – now and going forward • What the roadmap to automation looks like • Where your finance function should be heading • Which tools to use to help transform your financial reporting teams • What potential barriers lie ahead and how to overcome them.
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     KPMG
By: ttec     Published Date: Jul 24, 2019
In this e-book, you’ll discover 1. How next-generation cloud technologies such as customer journey mapping platforms and advanced analytics are poised to transform the customer experience. 2. The top operational and technical challenges that next-generation cloud technologies tackle. 3. Examples of how companies can tap into next-gen cloud technologies to elevate the customer experience.
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     ttec
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