AMD Channel Program Empowers More Partners To Deliver Superior Customer Value

AMD Channel Program Empowers More Partners To Deliver Superior Customer Value

AMD (NYSE:AMD) today announced more than 500 new participants have joined the AMD Commercial Systems Channel Program, further validating the company’s commitment to customer-centric innovation and collaboration among the growing worldwide AMD64 ecosystem of solutions integrators, value-added resellers (VARs) and distributors. Since launching in October 2005, the program has welcomed companies from all over the world, including some of the newest members: Advanced Systems Group (ASG), Agilysys, Inc., Beijing Kinraso Info-Tech Co. Ltd., Chengdu Golden Harbor Science Trade Co. Ltd., GE’s Access Distribution, Innovativ, Mainline Information Systems, Matrix Integration, MOCA, Novanis, Shanghai Zhuoge Computer Information System Co. Ltd., Specialist Computer Centres (SCC) and Technology Integration Group (TIG).

AMD64 processor-based systems have been added to the solution centers of various channel leaders throughout North America and are planned for installation in centers in the United Kingdom, China, India, Japan and a growing list of other locations by the end of the year. Here, visitors can experience first-hand the performance and performance-per-watt leadership of AMD Opteron™ processor-based systems. In addition, since the program’s inception, more than 20,000 global channel sales and technical representatives have been educated on the AMD64 technology value propositions through on-site training, Webinars and partner events in North America, EMEA and Asia.

“By embracing AMD64 technology, channel partners get a clear benefit, undisputed differentiation from their competitors and a stronger value proposition with their offerings,” said Kevin Knox, vice president, Commercial Business, AMD. “This can lead to a positive impact to their bottom lines and a winning solution for end-customers who are able to tap leading-edge performance-per-watt and native dual-core computing.”

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