VMware Introduces Delivery of Elastic Infrastructure for AI/ML Applications with VMware vSphere 7

VMware | June 22, 2020

VMware Introduces Delivery of Elastic Infrastructure for AI/ML Applications with VMware vSphere 7
VMware, Inc. introduced a new integrated feature in VMware vSphere 7 that will enable enterprises to deliver elastic infrastructure on-demand for artificial intelligence (AI) and machine learning (ML) applications. This new feature—VMware vSphere Bitfusion—is developed out of VMware’s 2019 acquisition of Bitfusion, a pioneer in the virtualization of hardware accelerator resources including graphics processing unit (GPU) technology. Organizations use hardware accelerators such as GPUs to dramatically improve the performance of AI/ML workloads that may run several hours or longer. IT teams have come to realize that these hardware accelerators are isolated islands—unable to be shared across many parts of the business. The inability to share those resources leads to inefficient and poor utilization of both existing and newly purchased resources. The combination of Bitfusion and VMware vSphere will help organizations achieve cost savings, enable resource sharing out of the box, and deliver the right hardware accelerator resource, like a GPU, to the right workload at the right time.

Spotlight

In this part one video on the introduction to Big Data Cluster, Buck Woody, an Applied Data Scientist on the Azure Data team introduces Big Data Cluster, Virtualization, Kubernetes, and Containers on SQL Server 2019.

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Spotlight

In this part one video on the introduction to Big Data Cluster, Buck Woody, an Applied Data Scientist on the Azure Data team introduces Big Data Cluster, Virtualization, Kubernetes, and Containers on SQL Server 2019.