October 25, 2012
CHARLOTTE, NC, Oct. 25 — To support the expanding role of the network in deploying cloud services, Cisco announced today that Peak 10 Inc. has achieved the Cisco Cloud Provider Certification with a Cisco Powered Cloud Infrastructure-as-a-Service (IaaS) designation.
The Cisco Cloud Provider Certification recognizes Peak 10's investment in building, owning and operating its own data centers to offer cloud services in a multitenant environment to end customers. Additionally, as a Cisco Powered IaaS designation, Peak 10's cloud offering is deployed using Cisco's Unified Computing System (UCS) infrastructure.
"We are proud to be one of the few selected service providers in the U.S. with this designation," said Jeff Spalding, executive vice president and chief operating officer of Peak 10. "It recognizes our expertise in deploying and managing Cisco cloud infrastructure. The Cisco Powered Cloud Service designation also demonstrates our commitment to building production ready, mission-critical cloud solutions for our clients."
The Cisco Cloud Partner Program empowers channel partners to build end-to-end cloud solutions and professional services practices based on Cisco cloud computing infrastructure. This program offers training based on Cisco best practices, tools, intellectual property as well as one-on-one mentoring to help channel partners as they enhance their competencies in selling and implementing end-to-end cloud services.
About Peak 10 Inc.
Headquartered in Charlotte, North Carolina, Peak 10 provides tailored, reliable cloud solutions and other information technology infrastructure services for mid-market businesses. Services include cost-effective, enterprise-class data center space and a wide range of network and managed services such as application management and managed security. Peak 10 facilities are currently strategically located in 10 U.S. cities, supporting customers around the world. Committed to meeting changing customer needs, Peak 10 continues to invest in current and new facilities, technologies and services. Peak 10 is SSAE 16 audited, and helps companies meet the requirements of various regulatory compliance acts such as Sarbanes-Oxley (SOX), HIPAA/HITECH, PCI DSS and Gramm-Leach-Bliley (GLBA).
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 |
The 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.
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.