vSphere Archives - Virtualize Applications

VMware Cloud Foundation as an enabler for GPU as a service (Part 2 of 3)

Mohan Potheri posted June 24th, 2020

In part 1 of this server we introduced the challenges with GPU usage and the features and components that can make the building blocks for GPU as a service. In this part we will look at how VMware Cloud Foundation components can be assembled to provide GPUs as a service to your end users. Common Read more...

Use-Cases for Machine Learning on VMware Cloud on AWS – Part 1 – Tabular Data

Justin Murray posted June 19th, 2020

This series of blog articles presents different use cases for deploying machine learning algorithms and applications on VMware Cloud on AWS and other VMware Cloud infrastructure. At the time of writing, June 2020, the hardware accelerators for neural networks are not yet available on VMware Cloud on AWS. However, there are many very good reasons Read more...

VMware Cloud Foundation as an enabler for GPU as a service (Part 1 of 3)

Mohan Potheri posted June 18th, 2020

In this part 1 of 3, I will introduce the challenges with GPU usage and the features and components that can make the building blocks for GPU as a service. Challenges with GPU Usage GPUs are getting increasingly faster but not all ML and GPU applications are currently using them. GPUs in the physical Read more...

Accelerating Virtualized & Distributed Cassandra databases with FPGAs

Mohan Potheri posted June 6th, 2020

Introduction Field Programmable Gate Arrays (FPGAs) as accelerators for data center workloads are beginning to cross the chasm of broader adoption. FPGAs have been around for more than twenty-five years and have successfully accelerated IO-centric applications such as network routers and storage controllers. FPGAs are reconfigurable hardware that offer software-like flexibility while delivering hardware-like performance Read more...

Scaling Distributed Machine Learning leveraging vSphere, Bitfusion and NVIDIA GPU (Part 1 of 2)

Mohan Potheri posted March 26th, 2020

1 Introduction Organization are quickly embracing Artificial Intelligence (AI), Machine Learning and Deep Learning to open new opportunities and accelerate business growth. AI Workloads, however, require massive compute power and has led to the proliferation of GPU acceleration in addition to traditional CPU power. This has led to a break in the traditional data Read more...