WAUKESHA, Wis., Dec. 2, 2014 /PRNewswire/ -- Dedicated Computing, a global technology company and leader in the training and simulation market, announced the release of its Edge 7320 System. This application-ready system drives Original Equipment Manufacturers' image generators in the training and simulation market and is a fully integrated hardware and software platform optimized with security and connectivity pre-configured and built in. The announcement was made during I/ITSEC, the world's largest modeling, simulation and training conference.
The Edge 7320 System responds to the market need for commercial off-the-shelf image generation solutions that provide users with reliable performance and supports high fidelity visual systems and simulators, all delivered cost-effectively while meeting low system noise requirements. The platform is based on an ATX Q87 motherboard supporting 4th generation Intel® Core™ i7/5/3 LGA 1150 processors and is a 2U, 19 inch rack mount system. Tested in actual working conditions and preconfigured with a validated and integrated image, the Edge 7320 System reduces complexity and time required to deploy an optimized, high performing system. Purpose-built diagnostics and monitoring capabilities improve visual system and simulator uptime.
"Our comprehensive solutions are designed to deliver the performance, reliability, and seamless integration required by our customers," said Mike Pape, Director, Training & Simulation Solutions at Dedicated Computing. "Backed by our years of experience delivering innovative and reliable solutions for the training and simulation market, Dedicated Computing is committed to meeting the market needs with innovative solutions that delivers value to our customers."
About Dedicated Computing
Dedicated Computing is a global technology company committed to solving the business problems of our customers through the design, development and deployment of innovative technology solutions.
More information can be found at http://www.dedicatedcomputing.com
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SOURCE Dedicated Computing
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