Private AI Foundation with NVIDIA: Data Professional Overview

VMware by Broadcom last fall announced their Private AI Foundation with NVIDIA. I'm looking out for components that data management professionals should be involved with. We know that data quality and protection are key to getting accurate results out of AI processing, so I'm looking for coverage of these challenges.

Private AI with NVIDIA

The focus of this offering is:

1. Privacy: in-house managed data and services
2. Choice: customers can bring and use the products and services they chose to use
3. Cost: customers can better manage costs due to choice.
4. Performance: optimizing workloads
5. Compliance: optimizing legislative and compliance agility

This foundation is covered in an online whitepaper (no registration required).

Vector Databases

One of the components of generative AI is the use of vector databases for fast retrieval of complex data formats.

In the demo, VMware showed the use of Postgres's vector access features to pull up information about a product via a chat bot.

Lessons Learned

Of course, I loved one of the wrap slides on lessons learned. That quote in the upper left seems to be an evergreen observation about every modern technology I've learned over the decades.

Don't forget about the data; this cannot be solved by AI

(all graphics in this article were provided by VMware by Broadcom and used with permission)