Introducing the Private AI Sizing Guide

An essential resource for VMware Private AI Foundation with NVIDIA deployments

Enterprises are racing to embed AI capabilities, from predictive analytics to conversational agents, yet they grapple with a unique set of hurdles: changing AI Application requirements, strict data‑privacy regulations, security risks, new LLMs coming to the market, escalating infrastructure costs, and the need for governance that balances innovation with security. 

To cut through this complexity, enterprises need guidance for right‑sizing compute, storage, and networking resources. Accurate resource planning can help organizations avoid over‑provisioning, stay compliant, and accelerate time‑to‑value, ensuring that their AI investments are both scalable and sustainable.  

To meet our customers where they are today, we are excited to announce the availability of our Private AI Sizing Guide, a resource designed to help you size your VMware Private AI Foundation with NVIDIA deployments with confidence.

This guide provides a clear and detailed framework for estimating total resource requirements in the management domain and workload domain, so you can optimize your infrastructure for your organization’s specific needs. By leveraging this guide, you can reduce the risk of overprovisioning or underprovisioning, helping ensure a robust and scalable infrastructure for your private AI deployments.

Key benefits:

• Estimate total requirements with confidence
• Optimize infrastructure for specific needs
• Reduce risk of overprovisioning or underprovisioning

Get started with the Sizing Guide today and take the first step towards a successful private AI deployment!

Ready to get started with AI and ML? Check out these helpful resources:

• Complete this form to contact us.
• Read the VMware Private AI Foundation with NVIDIA solution brief.
• Learn more about VMware Private AI Foundation with NVIDIA.
• Connect with us on Twitter at @VMwareVCF and on LinkedIn at VMware VCF.