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Orchestrate vGPU workloads with Kubernetes as a Service on WAW3-1 cloud

Orchestrate vGPU workloads with Kubernetes as a Service - microsoftteams image 8Orchestrate vGPU workloads with Kubernetes as a Service - microsoftteams image 8

GPUs (Graphics Processing Units) feature multi-core architecture that enables highly parallel workloads. With specific algorithms especially in the field of Machine Learning, GPUs greatly outmatch the performance of modern CPU units.

On WAW3-1 cloud, you can now combine the power of vGPU with the capabilities of CloudFerro Kubernetes as a Service, which features autoscaling and native integration with other cloud services. You can now create a new K8s cluster consisting of vGPU worker nodes from the Horizon GUI in a few minutes. You can also add vGPU nodes to an existing cluster.

For more information, read an article about vGPU in K8s Knowledge Base.