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A Joint Event on Enabling Machine Learning/AI and HPC from Dell and VMware on 2nd June 2020

Justin Murray posted Yesterday

On Tuesday, June 2nd, starting at 9am Pacific time, Dell and VMware will conduct a joint online event on enablement technologies for machine learning and AI applications. There will be some exciting announcements from executives at the two companies, including from Krish Prasad, Senior Vice-President of the Cloud Platform Business Unit and GM of vSphere Read more...

Highlights of New Features and Improvements in vSphere 7/vSAN 7/NSX-T 3 for High Performance Computing and Machine Learning

Michael Cui posted April 17, 2020

vSphere 7.0 is the biggest release of vSphere in over a decade, with a completely new design to power modernization of both infrastructure and applications. The headline news is that vSphere now support Kubernetes natively, so that you can run VMs and containers on the same platform. In addition, the new release of vSphere 7.0 Read more...

Machine Learning on vSphere: Choosing A Best Method for GPU Deployment with VMs

Justin Murray posted April 15, 2020

VMware vSphere has three main methods of setting up GPUs for use in VMs. This article helps you navigate through those methods. It outlines the pros and cons of using each approach so that you can judge how to proceed to best serve the needs of your machine learning user community . The detailed descriptions Read more...

Using Machine Learning Operations (MLOps) Solutions from Dotscience on VMware vSphere with Kubernetes

Justin Murray posted April 15, 2020

Machine Learning (ML) development processes have several similarities to software development, but they are also different in subtle ways. This article describes the application of software development disciplines like version control, checking work into a repository, sharing artifacts between practitioners, dataset and model governance, etc., to the field of machine learning, where versions and models Read more...

Scaling Distributed Machine Learning leveraging vSphere, Bitfusion and NVIDIA GPU (Part 2 of 2)

Mohan Potheri posted April 8, 2020

In part 1 of this blog we introduced distributed machine learning and virtualized infrastructure components used in the solution. In this part, we will look at the testing methodology and the results. The scalability of worker nodes and fractional GPUs leveraging Bitfusion will be analyzed.     5 Testing   5.1        Running the Distributed TensorFlow Read more...