SCIENCE
Zircon Computing Announces New Channel Partner Program
- Written by: Webmaster
- Category: SCIENCE
Zircon Computing has announced its new Zircon Channel Partner Program, enabling value-added resellers, system integrators, and other technology suppliers to offer their customers ultra high performance grid computing on demand. Zircon Computing's easy-to-use, platform-independent software greatly accelerates application performance using existing hardware. The Channel Partner Program provides partners with a full range of services and incentives to make Zircon software a valuable addition to their portfolio.
"Companies in many industries need to run critical, processing-intensive applications in parallel to get the response time that their business requires," explains Ron Guida, Director of Zircon Computing. "Zircon Channel Partners can help customers in many industries meet this common challenge with solutions that are extremely cost-effective and deliver unprecedented performance. We encourage the reseller community to discover how our unique grid computing middleware provides a compelling competitive advantage -- for partners as well as their customers."
Partners receive training, extensive sales and marketing resources, and expert 24x7 technical support to help customers make a rewarding transition to ultra high performance computing. Partners can also provide complementary revenue-generating services such as consulting, installation, training and local support, as well as hardware and software integration and industry-specific expertise.
Zircon Channel Partners also receive valuable incentives aimed at maximizing their sales margins. Benefits include pre-qualified sales leads, no-cost and massively discounted licensing, commissions throughout the duration of client subscriptions, joint promotional opportunities, and much more.
Zircon's patent-pending software platform includes tools to help developers rapidly transform sequential applications into powerful elastic applications that can be distributed and/or parallelized on a wide range of hardware, across multi-core processors, LANs, WANs, and clouds, balancing the workload to take full advantage of available resources. It scales automatically from a few laptops to tens of thousands of servers, accelerating performance by many orders of magnitude.