• VMware Private AI Foundation with NVIDIA streamlines the deployment of AI workloads by offering several ready-to-use catalog items for your users. • These include an AI workstation powered by a deep learning virtual machine (DLVM) with pre-installed AI/ML frameworks like PyTorch and TensorFlow, an AI Kubernetes cluster featuring GPU-capable worker nodes for cloud-native AI/ML workloads, and a GPU-enabled Triton Inference Server. • To make these catalog items accessible in VMware Cloud Foundation (VCF) Automation, you can utilize Quickstart within VCF Automation. • The followingvideodemonstrates the steps for using the VMware Private AI Foundation with NVIDIA Quickstart, enabling your users to begin deploying these workloads immediately. • Additional Resources Official documentation on setting up your VCF Automation organization for VMware Private AI Foundation with NVIDIA Official documentation on creating AI catalog items in VCF Automation Discover more from VMware Cloud Foundation (VCF) Blog Subscribe to get the latest posts sent to your email. • Type your email… Subscribe Related Articles Install VMware Private AI Foundation with NVIDIA using VCF Automation Unlocking the Power of AI: A Journey with VMware Private AI Foundation and NVIDIA Closing the Talent Gap in IT with VMware Data Services Manager

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  • VMware Private AI Foundation with NVIDIA streamlines the deployment of AI workloads by offering several ready-to-use catalog items for your users. These include an AI workstation powered by a deep learning virtual machine (DLVM) with pre-installed AI/ML frameworks like PyTorch and TensorFlow, an AI Kubernetes cluster featuring GPU-capable worker nodes for cloud-native AI/ML workloads, and a GPU-enabled Triton Inference Server. To make these catalog items accessible in VMware Cloud Foundation (VCF) Automation, you can utilize Quickstart within VCF Automation. The following video demonstrates th

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