Easily Scale AI/ML Workloads with VMware vSphere
September 19, 2022
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2:23Now PlayingEasily Scale AI/ML Workloads with VMware vSphere
YouTube Description
as posted by the channelVMware vSphere gives you an easy way to increase training performance by scaling AI/ML workloads across multiple GPUs and servers. This demo shows an image-classification training job being executed on multiple GPUs and nodes by using Tanzu in VMware vSphere. The GPU and MPI operators are used in a custom container to easily standardize and replicate the training job across the data center.
Learn how to scale AI/ML in the handson lab MultiNode Training for AI on Kubernetes
IT admins can learn how to build this environment in the lab Optimize AI and Data Science Workloads
Enterprises can also build and take AI/ML solutions to production with NVIDIA AI Enterprise.
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