February 26, 2013
DENVER, Co., Feb. 26 – PeakColo, a leading enterprise-class IaaS Cloud service provider for channel partners, today announces it is participating in the new VMware Cloud Credits Purchasing Program. This dynamic program provides channel partners an easy on-ramp to PeakColo’s Infrastructure-as-a-Service (IaaS) cloud platform, along with secure and direct access to on-demand cloud services in the US and UK. PeakColo is participating in this program because it is a 100% channel-centric cloud provider.
Recently launched at VMware Partner Exchange 2013 in Las Vegas, the VMware Cloud Credit Purchasing Program offers Solution Providers a new route to market by selling prepaid credits to be used for subscription-based hybrid or public cloud services offered by approved VMware Service Provider Partners. This program enables approved Service Providers to extend the full benefits of cloud computing to their end-users including flexible IT options, reduced IT capital expenditures and improved business agility.
As one of the only IaaS providers with a 100% channel centric model, PeakColo offers channel partners enterprise-class cloud services with complete training, on-boarding, and competitive commission programs - all bundled within a turn-key white label program.
“The VMware Cloud Credits Purchasing Program brings the Solution Provider and Service Provider communities together, to create a unique value proposition for both,” states Geoff Waters, senior director, VMware Cloud Service Provider Program. “We are pleased to have PeakColo participating in the VMware Cloud Credits Purchasing Program, and we look forward to their continued success.”
“PeakColo’s VMware vCloud-Powered platform enables our channel partners to white label the cloud as their own, offering their clients on-demand services and a secure way to leverage the efficiencies and benefits of cloud computing,“ states Luke Norris, CEO and Founder of PeakColo. “The new VMware Cloud Credits Purchasing Program helps us work with solution providers to deliver robust cloud computing services.”
With PeakColo’s IaaS platform located in premium data centers across the US and Europe, agents, value-added resellers and system integrators can establish direct connections into one of the fastest clouds in the marketplace in order to build their cloud practice, increase revenue streams and strengthen customer relationships.
As a long-time VMworld partner, Mr. Norris was a distinguished presenter at both VMworld Barcelona and VMworld San Francisco in 2012, discussing ‘How to Transform Your Business with an Agile Data Infrastructure' and ways to integrate VMware vCloud Suite with NetApp's Clustered dataONTAP. Over the last two years PeakColo has experienced 300% growth.
PeakColo is an enterprise-class Infrastructure-as-a-Service (IaaS) cloud service provider to channel partners. White-labeling PeakColo’s cloud services as their own, resellers and agents rapidly enter the cloud marketplace under their own brand without capital expenditure, enjoying a faster route to profitability. With Type II SSAE 16 and SOC 2 compliant data centers in six geographies across the United States and in Europe (Seattle, Denver, Chicago, New Jersey, New York, and the United Kingdom), PeakColo offers a cloud environment that contains tens of thousands of virtual machines and multiple petabytes of storage for public, private, hybrid and disaster recovery solutions. PeakColo is VMware vCloud Powered and is a Platinum-level NetApp service provider.
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.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
In this week's hand-picked assortment, researchers explore the path to more energy-efficient cloud datacenters, investigate new frameworks and runtime environments that are compatible with Windows Azure, and design a uniﬁed programming model for diverse data-intensive cloud computing paradigms.
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.
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
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.