Big Data Ecosystem Updates: Machine Learning, Deep Learning, and the Edge

One of the recent stories within the Big Data ecosystem is that Cisco is joining the AI Hardware frame with a new deep learning server powered by eight GPUs. Cisco is promising support within its AI push for Kubeflow, “which is an open source tool that makes TensorFlow compatible with the Kubernetes container orchestration engine,” said James Kobielus, the Lead Analyst at Wikibon, in a recent DATAVERSITY® interview. TensorFlow acts an open source software library used for numerical computation. It uses a flexible architecture designed for easy deployment across a diverse array of platforms (GPUs, TPUs, CPUs), and a range of devices (desktop computers, clusters of servers, various mobile and edge devices). TensorFlow was originally developed by the Google Brain Team (part of Google’s AI organization). It has a flexible numerical computation core, and provides excellent support for machine learning, as well as deep learning. They have developed a new deep learning server powered by eight GPUs.