In this blog post, we will walk through the configuration steps for setting up Data Services Manager (DSM) and connecting that to VCF Automation (VCFA), allowing us to deploy a Vector Database which is a requirement for configuring VMware Private AI Services (PAIS).
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When deploying a new VMware Cloud Foundation (VCF) 9.0 Fleet, the VCF Installer will automatically retrieve the fingerprint for each of the ESXi hosts that you have added and have you confirm that they actually match your ESXi hosts.
For automated VCF deployments, you can provide a JSON manifest that fully describes your VCF 9.0 deployment and by default, the VCF Installer will expect the ESXi fingerprints to be included or validation will fail.
So what are these fingerprint values and how do you retrieve them like the VCF Installer?
Over the past couple of months, I have used my minimal VMware Cloud Foundation (VCF) 9.0 lab to explore nearly every major VCF 9.0 capability including NVMe Tiering, vSAN ESA, NSX VPC, vSphere Supervisor Services like vSphere Kubernetes Service (VKS), VM Service & ArgoCD, VCF Operations (VCFO), VCF Automation (VCFA), VMware AVI Load Balancer, Data Services Manager (DSM) and the list goes on and on! 😅
One area that I have been interested in diving deeper into is with our Private AI offerings and with the announcement of VMware Private AI Services (PAIS) now included as part of VMware Cloud Foundation (VCF), it gave me that additional motivation to see if I could also run PAIS in my lab!
As part of my exploration, I will be documenting my experience in a mini-blog series on installing and configuring PAIS to deploy an AI Agent using an NVIDIA GPU with DirectPath I/O. Since NVIDIA vGPU requires an NVIDIA AI for Enterprise (NVAIE) license, this approach can especially be useful for lab and learning purposes.
Requirements: