Using GPUs with Virtual Machines on vSphere – Part 1: Overview

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Your company’s data scientists, machine learning practitioners or developers have asked you to provide them with a GPU-capable machine setup to do their work. They want to be able to execute workloads that need GPU compute power. The data scientist describes the workloads as machine learning “training”, “inference” or “development”. We will explain what they Read more...

New Architectures for Apache Spark™ and Big Data

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Key Trends in Big Data Infrastructure: Some of the key trends in big data infrastructure over the past couple of years are: • Decoupling of Compute and Storage Clusters • Separate compute virtual machines from storage VMs • Data is processed and scaled independently of compute • Dynamic Scaling of compute nodes used for analysis Read more...