March 08, 2012
SAN JOSE, Calif., March 8 — IT organizations today are striving to establish data centers that support virtualization and cloud computing to become more competitive and agile, reduce the cost of physical infrastructure, and support the demands of data growth and Big Data analytics. Cisco today announced innovations across the Cisco Unified Computing System to deliver a third-generation fabric computing platform – which integrates network, compute, virtualization and management – to address these challenges and help customers respond rapidly to changing business needs, scale their data centers, and accelerate transition to virtualization and cloud computing.
The Cisco UCS third-generation fabric computing platform incorporates the new Intel Xeon processor E5-2600 product family and includes multiple server form factors delivering the industry's highest server density and efficiency, with up to eight times the memory capacity and four times the I/O compared to previous UCS servers. The Cisco UCS Manager now allows IT administrators to manage both blade and rack servers as a common entity, and extends the management domain to span thousands of servers across data centers around the world.
UCS customers report dramatic operational and cost improvements up to: 30 percent lower infrastructure expenses, 90 percent reduction in deployment times, 40 percent improvements in application performance, and 60 percent reductions in power/cooling costs.
Unified Management with Cisco UCS
Cisco UCS Integrated Networking and Virtualization
New M3 Generation Unified Computing System Servers
Cisco broadens the Cisco Unified Computing System portfolio with one blade and two rack-mount servers based on the latest Intel Xeon processor E5-2600. Available in March, Cisco's new server lineup improves workload delivery with enhanced performance, flexibility, and efficiency to support increasing data center demands. With more cores, cache, memory capacity, and internal storage and faster communication pathways to move data more quickly, Cisco UCS with the Intel Xeon processor E5-2600 offers the industry's best performance, power efficiency, features, and cost.
Application Performance Leadership
Cisco Unified Computing System Industry Adoption
Indu Kodukula, Executive Vice President and Chief Technology Officer, SunGard Availability Services
"The conversation around cloud today has changed from 'if' to 'how', and IT organizations are trying to figure out how to use the cloud for running tier-1 production applications," said Indu Kodukula, Executive Vice President Products and Chief Technology Officer at SunGard Availability Services. "An enterprise-grade cloud service such as SunGard's, built and delivered on pre-integrated, premium infrastructure such as Cisco UCS and VBlock from VCE, is critical to making cloud ready for production. The pre-integration of compute and networking in VBlock, combined with open standards and customizable service profiles, enables virtual data centers to be spun up on short notice and provides a level of business agility without sacrificing application availability."
Robert Taylor, director of IT, Hendrick Automotive
"As the second-largest privately owned dealership group in the United States, we experienced server and desktop sprawl that required a more manageable, cost-effective unified data center approach, and we chose shared infrastructure FlexPod, with unique integration management of UCS and NetApp unified storage, as the best solution for our private cloud infrastructure," said Robert Taylor, director of IT, Hendrick Automotive. It used to take weeks to deploy a new business application, but now we can do it in a day. Now senior management views IT as a business enabler that significantly increases our business agility."
Zeus Kerravala, Principal Analyst ZK Research
"Companies are not using the same networking gear they were a few years ago, so why should they use the same servers," said Zeus Kerravala, Principal Analyst at ZK Research. Customers are not averse to change if the benefits are high enough. Cisco built UCS with virtual and cloud computing in mind and now its competitors are trying to catch up. And Cisco has an especially strong offering now with its latest advances in fabric computing and enhancements to UCS Manager."
Soni Jiandani, senior vice president, Data Center Group, Cisco
"Our customers care most about time-to-deploy business applications, application performance and unified management of bare metal, virtualized and private/public cloud environments," said Soni Jiandani, senior vice president, Data Center Group, Cisco. "Cisco pioneered fabric computing and service profiles – still not duplicated by any other vendor – which allow IT managers to deploy applications in minutes instead of days. Now with innovations in UCS Manager their integrated management spans rack and blade servers, and scales across data centers to thousands of servers globally. Our open system allows for structured integration with partner and customer solutions, making the Cisco UCS and the Unified Data Center a strong foundation for rapid deployment, performance, scalability, and ease of management."
Cisco (NASDAQ: CSCO) is the worldwide leader in networking that transforms how people connect, communicate and collaborate. Information about Cisco can be found at http://www.cisco.com. For ongoing news, please go to http://newsroom.cisco.com.
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
May 23, 2013 |
he study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.