FREMONT, Calif., April 5, 2016 /PRNewswire/ -- AMAX, a leading provider of HPC, Cloud/IaaS, GPU and Data Center solutions, will demonstrate GPU AMAX's award-winning Deep Learning Platforms running Bitfusion Boost to virtualize GPU resources from multiple nodes for rendering and deep learning applications.
Deep Learning is the hottest and fastest-growing segment of the machine learning/artificial intelligence field. It features the development of complex, multi-layered non-linear algorithms based on neural networks to achieve breakthroughs in object, facial, image and speech recognition, as well as machine translation, big data insights and natural language processing. The critical learning/training phase for machines can be expedited with GPUs to process large datasets and develop complex neural networks. By the same token, media and 3D rendering can be optimized with the addition of GPU resources to reduce rendering time. GPU virtualized approach allows companies to better manage their hardware spend, while maximizing compute resources on an as-needed basis for the most cost-effective approach to machine learning development or rendering jobs.
"We've seen the data center move towards virtualization to optimize resources, so it makes sense that we can see the same trend within the HPC world," said Dr. Rene Meyer, Director of Product Development, AMAX. "Virtualizing GPUs allows people to benefit from an elastic utilization model, to quickly spin up deep learning 'platforms' of any size for R&D, as well as build up massive GPU cluster instances and quickly shut them down as needed. This represents a very cost-effective and flexible way for many companies to utilize parallel computing resources with limited capital burden."
The demo can be seen at AMAX's booth (#111) at GTC, and will run on dual DL-E400 servers featuring liquid-cooled NVIDIA GeForce GTX 980 Ti cards.
To learn more about AMAX GPU platforms including OCP platforms, please stop by the AMAX booth #111 at GTC 2016 at the San Jose Convention Center, or visit www.amax.com/hpc/gpusystems.asp
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