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Optimize VMware vSphere for AI and Data Science Workloads
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Optimize VMware vSphere for AI and Data Science Workloads
Optimize VMware vSphere for AI and Data Science Workloads (Latest Version)
IT Administrator
Overview
Prerequisites
Step #1: Connect to vCenter
Step #2: Create Your First NVIDIA AI Enterprise VM
Creating a Virtual Machine
Installing Ubuntu Server 20.04 LTS (Focal Fossa)
Enabling the NVIDIA vGPU
Installing the NVIDIA Driver in the Ubuntu Virtual Machine
Downloading the NVIDIA AI Enterprise Software Driver Using NGC
Installing the NVIDIA Driver using the .run file
Licensing the Ubuntu VM
Step #3: Installing Docker and Docker Utility Engine for NVIDIA GPUs
Installing Docker
Enabling the Docker Repository and Installing the NVIDIA Container Toolkit
Testing Docker and NVIDIA Container Runtime
Single GPU
Step #4: Installing AI and Data Science Applications and Frameworks
Configuring The VM For Bert Model Training and Inference
Create a template from the VM
Create a Guest Customization Specification
Create the Virtual Machine Template
Next Steps
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Data Center / Cloud
© Copyright 2022-2023, NVIDIA.
Last updated on Feb 2, 2023.
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