Intel Scalable System Framework Facilitates Deep Learning Performance

In this special guest feature, Rob Farber from TechEnablement writes that the Intel Scalable Systems Framework is pushing the boundaries of Machine Learning performance. Rob Farber, Founder, TechEnablement.com 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…


Link to Full Article: Intel Scalable System Framework Facilitates Deep Learning Performance