Deploy Deep Learning Virtual Machine with VMware Cloud Foundation Automation
Source: VMware Blog
Overview
Data scientists and ML/Ops engineers often face a significant hurdle: the time‑consuming and complex task of setting up the necessary infrastructure for AI prototyping, fine‑tuning, and validation. This burden is amplified when the team lacks deep infrastructure expertise.
VMware Private AI Foundation with NVIDIA addresses this challenge by providing deep learning virtual machine (DLVM) images that are:
- Pre‑configured with popular ML libraries, frameworks, and toolkits.
- Optimized and validated for GPU acceleration in a VMware Cloud Foundation (VCF) environment.
- Jointly validated by VMware and NVIDIA, dramatically reducing the time required to install, configure, and validate essential workloads.
These DLVM images can be offered to users as self‑service catalog items, freeing up infrastructure administration time previously spent on manual provisioning.
Deployment Process
The deployment is streamlined and accelerated from hours to minutes through VCF Automation. See the demonstration video below:
Additional Resources
- Release notes – latest updates to the deep learning virtual machine images.
- Official documentation on deep learning virtual machine images.
- Official documentation on deploying deep learning virtual machines in VCF Automation.
