January 24, 2013
SAN JOSE, Calif. and SUNNYVALE, Calif., Jan. 24 – Cisco and NetApp today announced an expanded partnership to deliver new converged infrastructure innovation to unify branch office, data center and public cloud infrastructures under the FlexPod architecture. The partnership expansion includes efforts in technology integration, solution development, and continued go-to-market collaboration -- all designed to make it easier for customers to deploy and access next-generation cloud infrastructure solutions.
Current IT architectures comprise a fragmented combination of infrastructure along with public, private and hybrid clouds offered by different organizations and addressing distinct customer needs. Through a shared vision of a unified data center, Cisco and NetApp offer the ability to simplify deployment, management and orchestration -- connecting enterprise clouds to service providers, enterprises to branch offices, consumers to enterprises, and clouds to clouds.
Deeper integration across computing, networking, storage and orchestration components of FlexPod, combined with broader support for its open ecosystem of partners, will greatly simplify data center deployment and management, deliver greater budget efficiency, reduce risk, and increase agile business responsiveness.
Cisco and NetApp now boast more than 2,100 FlexPod customers across more than 35 countries and over 700 channel partners. Cisco and NetApp are building on this momentum by expanding their successful decade-long partnership to deliver greater innovation, including:
Deeper FlexPod Architecture Integration: Cisco and NetApp are forging deeper integration across Cisco Unified Data Center solutions, NetApp FAS Storage Systems, and FlexPod ecosystem technology partners to create a common foundation for data centers and service providers, from branch office implementations to cloud-scale, multi-data center deployments.
FlexPod solutions will provide the ability to manage up to 10,000 servers, allowing organizations to aggregate several FlexPod racks and enable multihop Fiber Channel over Ethernet (FCOE). These solutions, tuned for service providers and distributed enterprises, enable infrastructures to be scaled with predictive performance and support.
FlexPod continues to lead on the integration of infrastructure management tools and will support Cisco UCS Manager 2.1, UCS Central and Cisco's recently acquired Cloupia products. In addition, support for Cisco Intelligent Automation for Cloud (Cisco IAC) allows cloud management solutions for FlexPod customers. Deeper integration across FlexPod at the platform level, as opposed to at the component level, will enable FlexPod to be seamlessly orchestrated by partner solutions, including Microsoft System Center and Citrix CloudPlatform powered by Apache CloudStack.
Cisco and NetApp will also integrate Flash technologies at the host and storage levels, to accelerate performance across all areas of the converged infrastructure. At the server level, applications running on Flash-optimized Cisco Unified Computing System (Cisco UCS) servers can be further accelerated with NetApp Flash Accel, while at the controller and array levels, technologies such as NetApp Flash Cache and Flash Pools can be used to access cached data faster.
FlexPod for Cloud Service Providers: To accelerate momentum in the service provider market Cisco and NetApp are developing flexible, massively scalable FlexPod solutions capable of handling multi-data-center service provider architectures. The set of solutions will bring together NetApp Clustered ONTAP and NetApp FAS storage systems with Cisco UCS servers and Cisco Nexus 7000 Series Switches to create dynamically provisioned pools of server, storage and network resources that can be scaled up and scaled down by service providers depending on application requirements. These solutions will use Cisco's Virtualized Multiservice Data Center (VMDC) architecture and will include management and orchestration solutions from Cisco and from ecosystem partners such as BMC Software and, in the future, from open source providers.
Branch Office Solution: Cisco and NetApp are partnering to extend the capabilities of ExpressPod to meet the compute, network and storage needs of branch offices. ExpressPod shares a similar converged infrastructure approach as FlexPod, and as a result, it is ideally suited to branch office deployments with an easy upgrade path to FlexPod as the needs of the branch grow. This easy-to-deploy architecture can be configured to offer greater interoperability with the core organizational data center, enabling branch locations to take advantage of some of the biggest cost-saving trends in IT, such as virtualization and cloud computing. ExpressPod includes support for VMware vSphere and will soon include support for Windows Server 2012 Hyper-V.
FlexPod Application Validation: Cisco and NetApp are expanding solution coverage to add more mission-critical applications and private cloud solutions for the datacenter. Mission critical solutions include Oracle Database and applications, SAP BusinessObjects business intelligence and the SAP HANA platform, and private cloud offerings include Microsoft private cloud and Citrix CloudPlatform.
Cisco is the worldwide leader in IT that helps companies seize the opportunities of tomorrow by proving that amazing things can happen when you connect the previously unconnected.
NetApp creates innovative storage and data management solutions that deliver outstanding cost efficiency and accelerate business breakthroughs. Our commitment to living our core values and consistently being recognized as a great place to work around the world are fundamental to our long-term growth and success, as well as the success of our pathway partners and customers.
Source: Cisco, NetApp
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.