October 17, 2012
FREMONT, Calif., Oct. 17 — AMAX, a leading innovator of High Performance Computing (HPC), dynamic Enterprise IT, and custom Appliance Manufacturing solutions, today announced its partnership with PeakColo, a premier cloud services provider, who has selected the ServMax line of servers for its Infrastructure-as-a-Service (IaaS) compute platform. Hungry for performance and storage capacity, cloud service providers have specific requirements that are defining and shaping the datacenter computing environment by engaging exceptionally dense, power-efficient server architectures to manage the world's data.
"PeakColo is a leading provider of enterprise-class, white-label Infrastructure-as-a-Service (IaaS) for cloud computing. We place high demands on our primary vendors – VMware, NetApp, Brocade and AMAX – to provide us with the highest performing, most reliable IaaS," said Luke Norris, CEO and Founder of PeakColo. "AMAX's ability to ship systems with Peak's custom build configuration, fully tested and production-ready upon arrival, has resulted in faster install times for our end users."
Since June, AMAX has deployed nearly 50 of its latest Intel Xeon E5-2600 series, high-density, high-performance ServMax nodes to PeakColo's datacenters that efficiently power their Infrastructure-as-a-Service cloud offering, with plans for additional ServMax nodes expected to exceed well into the hundreds by the end of the year. With PeakColo's enterprise-class, high-bandwidth cloud solutions being delivered out of three Denver, Colo., one Seattle, Wash., and one U.K. datacenter locations, that number is expected to more than double by the end of 2013.
"AMAX's expertise has always been in providing the highest quality, most cost-effective, production-ready open-architecture server solutions the industry has to offer," said James Huang, Product Manager at AMAX. "The infrastructure support provided to PeakColo using AMAX's ServMax line is just one example of how AMAX is able to optimize customer- or project-specific cloud solutions as the backbone support for IaaS compute platforms, and we are excited to continue our shared commitment to PeakColo's vision of a guaranteed 100% SLA."
As with all AMAX servers, the ServMax series configurations can be tailored to each customer's specific needs by AMAX's expert Infrastructure Design team as standalone systems or as building blocks for robust clusters, allowing for flexible configurations and to match target budgets. For more information about AMAX products and services, visit www.amax.com.
Founded in 1979, AMAX is a trusted leader in Custom Server and Storage Solutions in North America. Headquartered in Fremont, California, AMAX also operates several ISO:9001 certified and UL approved branch offices throughout North America and multiple locations in China servicing the APAC region. AMAX's expertise drives two key divisions that deliver customized computing solutions to a wide range of industries: AMAX's Appliance Manufacturing Division provides, highly customized, efficient and top-of-the-line manufacturing solutions and global logistics to OEM customers while AMAX's Enterprise & High Performance Computing Division provides innovative and scalable custom cluster, server, and storage products developed for HPC, Cloud, Virtualization and Big Data applications.
PeakColo provides fully redundant, enterprise-class white-label WhiteCloud Services to its Distribution, Data Center, Service Provider, System Integrator and VAR channel partners. PeakColo is a Premier level VMware Service Provider Partner and one of the first to deliver VMware's vCloud Director enabled solutions. PeakColo is a NetApp Gold Level Service Provider. It has operations in three data centers in the Denver, Colorado area, one data center in Seattle, Wash., and one in the UK. For more information, visit the PeakColo website at http://www.peakcolo.com.
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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.
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