Enabling Enterprise Machine Learning with Kubernetes

Presented by

Justin Murray, Technical Marketing Architect, VMware & Shobhit Bhutani, Principal Product Marketing Manager, VMware

About this talk

b. Machine learning apps are on the move to a new destination — migrating from ad-hoc specialized silos to mainstream IT managed by the enterprise. This is made possible by NVIDIA and VMware's jointly developed AI-Ready Enterprise Platform. Enterprise IT managers want to act as cloud providers to their internal customers. These enterprise IT managers can now leverage the NVIDIA AI Enterprise software suite on VMware, making the infrastructure (including GPUs and accelerators) easily consumable, avoiding low-level administrative tasks, both on-premises and in VMware's Cloud Provider data centers. NVIDIA's suite of containerized AI platforms and tools is now fully supported on VMware vSphere with Tanzu, with tight integration of Kubernetes into the hypervisor's control plane. Learn the details of the GPU enablement of virtual machines and using those VMs as nodes in K8S clusters, providing Kubernetes clusters on-demand, with GPUs attached, and the capability to share that GPU power with other users.

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