December 10, 2019

174 words 1 min read

KubeVirt Deep Dive: Virtualized GPU Workloads on KubeVirt

KubeVirt Deep Dive: Virtualized GPU Workloads on KubeVirt

KubeVirt is a Kubernetes extension that supports running traditional Virtual Machine workloads side by side with containers.In this session we will explore the architecture behind KubeVirt and how NVI …

Talk Title KubeVirt Deep Dive: Virtualized GPU Workloads on KubeVirt
Speakers David Vossel (Principal Software Engineer, Red Hat), Vishesh Tanksale (Sr. Software Engineer, NVIDIA)
Conference KubeCon + CloudNativeCon North America
Conf Tag
Location San Diego, CA, USA
Date Nov 15-21, 2019
URL Talk Page
Slides Talk Slides
Video

KubeVirt is a Kubernetes extension that supports running traditional Virtual Machine workloads side by side with containers.In this session we will explore the architecture behind KubeVirt and how NVIDIA is leveraging that architecture to power GPU workloads on Kubernetes. Using NVIDIA’s GPU workloads as a case study, we’ll provide a focused view on how host device passthrough is accomplished with KubeVirt as well as providing some performance metrics comparing KubeVirt to standalone KVM. You’ll come away with a high level understanding of what KubeVirt is capable of and the general design principles that drive the project.

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