Deploy Deep Learning Virtual Machine with VMware Cloud Foundation Automation

Data scientists and ML/Ops engineers often face a significant hurdle: the time-consuming and complex task of setting up the necessary infrastructure for their core work, such as AI prototyping, fine-tuning, and validation. This is a burden they are not technically equipped to handle.

VMware Private AI Foundation with NVIDIA addresses this by providing deep learning virtual machine images. These images come preconfigured with popular ML libraries, frameworks, and toolkits, and are optimized and validated by VMware and NVIDIA for GPU acceleration in a VMware Cloud Foundation (VCF) environment. This joint validation significantly reduces the time required for installing, configuring, and validating essential workloads.

Furthermore, these images can be offered to your users as self-service catalog items, freeing up infrastructure administration time previously spent on these tasks.

The deployment process is also simplified and accelerated, from hours to minutes, through VCF Automation, as demonstrated in the video below.

To learn about the latest updates to the deep learning virtual machine images, you can refer to the official release notes.

Additional Resources

• Official documentation on deep learning virtual machine images
• Official documentation on deploying deep learning virtual machines in VCF Automation