data center

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By: Cray     Published Date: Jul 02, 2015
As global energy costs climb, Cray has taken its long-standing expertise in optimizing power and cooling and focused it on developing overall system energy efficiency. The resulting Cray XC supercomputer series integrates into modern datacenters and achieves high levels of efficiency while minimizing system and infrastructure costs.
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     Cray
By: Green Revolution Cooling     Published Date: Feb 20, 2014
This paper examines the advantages of liquid submersion cooling and, in particular, takes a closer look at GreenDEF™, the dielectric mineral oil blend used by Green Revolution Cooling, a global leader in submersion cooling technologies. Further, the paper will address concerns of potential adopters of submersion systems and explain why these systems can actually improve performance in servers and protect expensive data center investments.
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     Green Revolution Cooling
By: Green Revolution Cooling     Published Date: May 12, 2014
Download Green Revolution Cooling’s White Paper “Data Center Floor Space Utilization – Comparing Density in Liquid Submersion and Air Cooling Systems” to learn about the density of liquid submersion cooling, how looks can be deceiving and how, more times than not, liquid cooling once again has air beat.
Tags : green revolution, data center floor space
     Green Revolution Cooling
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: SGI     Published Date: Jun 08, 2016
With High Performance Computing (HPC) supercomputer systems that comprise tens, hundreds, or even thousands of computing cores, users are able to increase application performance and accelerate their workflows to realize dramatic productivity improvements. The performance potential often comes at the cost of complexity. By their very nature, supercomputers comprise a great number of components, both hardware and software, that must be installed, configured, tuned, and monitored to maintain maximum efficiency. In a recent report, IDC lists downtime and latency as two of the most important problems faced by data center managers.
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     SGI
By: Penguin Computing     Published Date: Mar 23, 2015
The Open Compute Project, initiated by Facebook as a way to increase computing power while lowering associated costs with hyper-scale computing, has gained a significant industry following. While the initial specifications were created for a Web 2.0 environment, Penguin Computing has adapted these concepts to create a complete hardware ecosystem solution that addresses these needs and more. The Tundra OpenHPC system is applicable to a wide range of HPC challenges and delivers the most requested features for data center architects.
Tags : penguin computing, open computing, computing power, hyper-scale computing, tundra openhpc
     Penguin Computing
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: 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: Seagate     Published Date: Sep 30, 2015
Although high-performance computing (HPC) often stands apart from a typical IT infrastructure—it uses highly specialized scale-out compute, networking and storage resources—it shares with mainstream IT the ability to push data center capacity to the breaking point. Much of this is due to data center inefficiencies caused by HPC storage growth. The Seagate® ClusterStor™ approach to scale-out HPC storage can significantly improve data center efficiency. No other vendor solution offers the same advantages.
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     Seagate
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: Mar 30, 2015
Dell has teamed with Intel® to create innovative solutions that can accelerate the research, diagnosis and treatment of diseases through personalized medicine. The combination of leading-edge Intel® Xeon® processors and the systems and storage expertise from Dell create a state-of-the-art data center solution that is easy to install, manage and expand as required. Labelled the Dell Genomic Data Analysis Platform (GDAP), this solution is designed to achieve fast results with maximum efficiency. The solution is architected to solve a number of customer challenges, including the perception that implementation must be large-scale in nature, compliance, security and clinician uses.
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     Dell and Intel®
By: Penguin Computing     Published Date: Oct 14, 2015
IT organizations are facing increasing pressure to deliver critical services to their users while their budgets are either reduced or maintained at current levels. New technologies have the potential to deliver industry-changing information to users who need data in real time, but only if the IT infrastructure is designed and implemented to do so. While computing power continues to decline in cost, the management of large data centers, together with the associated costs of running these data centers, increases. The server administration over the life of the computer asset will consume about 75 percent of the total cost.
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     Penguin Computing
By: HP     Published Date: Oct 08, 2015
Administrators, engineers and executives are now tasked with solving some of the world’s most complex challenges. This could revolve around advanced computations for science, business, education, pharmaceuticals and beyond. Here’s the challenge – many data centers are reaching peak levels of resource consumption; and there’s more work to be done. So how are engineers and scientists supposed to continue working around such high-demand applications? How can they continue to create ground-breaking research while still utilizing optimized infrastructure? How can a platform scale to the new needs and demands of these types of users and applications. This is where HP Apollo Systems help reinvent the modern data center and accelerate your business.
Tags : apollo systems, reinventing hpc and the supercomputer, reinventing modern data center
     HP
By: AMD     Published Date: Nov 09, 2015
Graphics Processing Units (GPUs) have become a compelling technology for High Performance Computing (HPC), delivering exceptional performance per watt and impressive densities for data centers. AMD has partnered up with Hewlett Packard Enterprise to offer compelling solutions to drive your HPC workloads to new levels of performance. Learn about the awe-inspiring performance and energy efficiency of the AMD FirePro™ S9150, found in multiple HPE servers including the popular 2U HPE ProLiant DL380 Gen9 server. See why open standards matter for HPC, and what AMD is doing in this area. Click here to read more on AMD FirePro™ server GPUs for HPE Proliant servers
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     AMD
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: Nutanix     Published Date: Aug 22, 2019
Nutanix created hyperconverged infrastructure years ago because there was an urgent need for innovation within enterprise infrastructure. IT silos, management complexity, and gross inefficiencies were undermining the customer experience. It was time for a paradigm shift, which is why Nutanix melded webscale engineering with consumer-grade design to fundamentally transform the way organizations consume and leverage technology.
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     Nutanix
By: Nutanix     Published Date: Aug 22, 2019
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     Nutanix
By: Hitachi EMEA     Published Date: Sep 25, 2019
With the right approach, new and growing data sources can help you drive innovation, transform customer experience and create new revenue streams. But all that data can also slow you down.
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     Hitachi EMEA
By: Intel     Published Date: Sep 27, 2019
The stakes are high in today's data centers. Organisations have access to massive quantities of data promising valuable insights and new opportunities for business. But data center architects need to rethink and redesign their system architectures to ingest, store and process all that information. Similarly, application owners need to assess how they can process data more effectively. Those who don't re-architect might find themselves scrambling just to keep from being drowned in a data deluge.
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     Intel
By: Intel     Published Date: Sep 27, 2019
As data constantly changes and expands, data centers increasingly face capacity, performance, and cost limitations related to existing memory and storage solutions. Intel Optane data center (DC) technology addresses these challenges by placing data closer to the CPU and closing the gap between traditional memory and storage options, thus transforming the memory and storage tier.
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     Intel
By: Intel     Published Date: Sep 27, 2019
As the first major memory and storage breakthrough in 25 years, Intel Optane technology combines industry-leading low latency, high endurance, QoS, and high throughput that allows the creation of solutions to remove data bottlenecks, and unleash CPU utilization. With Intel Optane technology, data centers can deploy bigger and more affordable datasets to gain new insights from large memory pools. Here are just ten way Intel Optane technology can make a difference to your business. To find out more download this whitepaper today.
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     Intel
By: Intel     Published Date: Sep 30, 2019
Mountains of data promise valuable insights and innovation for businesses that rethink and redesign their system architectures. But companies that don’t re-architect might find themselves scrambling just to keep from being buried in the avalanche of data. The problem is not just in storing raw data, though. For businesses to stay competitive, they need to quickly and cost-effectively access and process all that data for business insights, research, artificial intelligence (AI), and other uses. Both memory and storage are required to enable this level of processing, and companies struggle to balance high costs against limited capacities and performance constraints. The challenge is even more daunting because different types of memory and storage are required for different workloads. Furthermore, multiple technologies might be used together to achieve the optimal tradeoff in cost versus performance. Intel is addressing these challenges with new memory and storage technologies that emp
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     Intel
By: Infinidat EMEA     Published Date: May 14, 2019
Reinventing Data Centers at Petabyte Scale to Enable Competitive Advantage
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     Infinidat EMEA
By: Infinidat EMEA     Published Date: May 14, 2019
Data continues to grow at an astounding pace? As a result, data center space is becoming more scarce, as more arrays are acquired to store all of this data. Along with this data taking up space, it is also utilizing a great deal of power and cooling. In fact, the average data center in the U.S. uses approximately 34,000 kW of electricity each year, costing $180,000 in annual energy costs. As Infinidat set out to revolutionize the storage industry, one of our goals was to help consumers of storage build a more sustainable infrastructure that would be not only better for the environment, but also help them to save money as well. All of our patents come together to form InfiniBox, a storage solution that does just this.
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     Infinidat EMEA
By: Dell EMC     Published Date: Aug 01, 2019
Pursuing agility to truly impact business transformation requires embracing date center modernization as a core competency. Crucial to this is having the most up-to-date IT instructure to support the scale and complexity of a changing technology landscape. Companies must embrace this imperative by adopting software-defined data center principles, embracing modernization, and automating their IT management processes. Those that do will propel business innovation and deliver superior customer experiences with fast, secure, and reliable business technology. Download this whitepaper from Dell and Intel® to learn more.
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     Dell EMC
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