Recent Posts

Virtualizing Deep Reinforcement Learning on vSphere leveraging Bitfusion

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 Deep Reinforcement Learning Humans excel at solving a wide variety of challenging problems, from low-level motor control through to high-level cognitive tasks. Deep Reinforcement learning (DRL) is an aspect of machine learning that leverages agents by taking actions in an environment to maximize the cumulative reward. DRL uses a paradigm of learning by trial-and-error, solely Read more...

Running singularity as the run time for Kubernetes with VMware PKS

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HPC’s shift to hybrid cloud and Kubernetes from Bare Metal:   While traditional computing has virtualized the majority of workloads over the past decade, HPC has mostly remained bare metal, with more than 80% of the workloads still remaining unvirtualized. With its eternal quest to extract maximum performance from the hardware, there has been a Read more...

Deploying and running Kubernetes on VMware Cloud on AWS

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Leveraging VMware PKS in VMware cloud on AWS:   Since the announcement of VMware Tanzu—a portfolio of products and services to help enterprises build, run and manage applications on Kubernetes—at VMworld US, our customers have been expressing their excitement. They are eager to drive adoption of Kubernetes and are looking to VMware to simplify the Read more...

On-Demand HPC on vSphere with UberCloud

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Introduction: Enterprise HPC Infrastructure teams supporting engineers have a challenging task keeping up with the latest advances in Hardware and capabilities. Until recently, engineers relied on their workstations and bare metal compute clusters for their HPC simulations. The downside, a workstation is not suitable for running very large, compute intensive simulation jobs and bare metal clusters Read more...

End to End Machine Learning with Natural Language processing for training and inference on vSphere (Part 2 of 2)

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In part 1 of the blog we introduced end to end machine learning. The conceptual architecture with all software and hardware components for the solution was described. The steps in the solution deployment were shown. Sentiment Analysis basics Sentiment Analysis is a binary classification task. It predicts positive or negative sentiment using raw user text. Read more...