This series of blog articles presents a set of use cases for deploying machine learning workloads on VMware Cloud on AWS and other VMware Cloud infrastructure. The first article described the use of table-based data, such as that held in relational databases, for classical machine learning on the VMware Cloud platform. We saw examples of Read more...
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...
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...
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...
VMware is committed to helping customers build intelligent infrastructure and optimize workload execution. With the rapidly growing interest in Machine Learning (ML) and High Performance Computing (HPC), hardware accelerators are increasingly being adopted in private, public, and hybrid cloud environments to accelerate these compute-intensive workloads. As part of facilitating this IT infrastructure transformation, VMware is Read more...
