Intel Scalable System Framework Facilitates Deep Learning Performance - insideBIGDATA

In this special guest feature, Rob Farber from TechEnablement writes that the Intel Scalable Systems Framework is pushing the boundaries of Machine Learning performance. The challenge of training a machine learning algorithm to accurately solve complex problems requires large amounts of data that greatly increase a system's computational, memory, and network requirements. Meeting this challenge with the right technology mix amplifies the ability of a system to train machine and deep learning neural networks to solve complex pattern recognition tasks. To help customers create systems run deep learning--as well as other HPC, Big Data, and visualization workloads--Intel introduced Intel Scalable System Framework (Intel SSF). It provides a common framework that can support workloads running on everything from small workgroup clusters to the world's largest supercomputers and on-demand cloud computing.