In an earlier VMware blog article and demo on machine learning, we used the H2O Driverless AI tool, deployed on VMware vSphere-based VMs, for feature engineering, choosing and training a machine learning model and finally for creation of a deployable ML pipeline. A big advantage of using this H2O Driverless AI tool in virtual machine form on Read more...
This brief article introduces a short 4.5 minute video that explains the reasons why VMware vSphere is a great platform for data scientists/engineers to use as their base operating platform. The video then demonstrates an example of this, showing a data scientist conducting a modeling experiment with an input set of data, while using the Read more...
VMware vSphere is continuously improving to provide enhanced and new features. In every release, significant improvements have been made in the areas of customer experience, security, availability, and performance. This blog highlights the new functionality and performance improvements that are closely related to High-Performance Computing (HPC) and Machine Learning/Deep Learning (ML/DL) workloads from vSphere 6.5 Read more...
This blog is an update of Josh Simon’s previous blog “How to Enable Compute Accelerators on vSphere 6.5 for Machine Learning and Other HPC Workloads”, and explains how to enable Nvidia V100 GPU, which comes with a larger PCI BARs (Base Address Registers) than previous GPU models, in Passthrough mode on vSphere 6.0 p4 and Read more...
This is part 4 of a series of blog articles that give technical details of the different options available to you for setting up GPUs for compute workloads on vSphere. Part 1 of this series presents an overview of the various options for using GPUs on vSphere Part 2 describes the DirectPath I/O (Passthrough) mechanism Read more...
