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Installing the NVIDIA GPU Operator and vGPU Drivers for VMware Private AI Foundation (Private AI Series, Part 9)
A practical runbook for installing the NVIDIA GPU Operator and matching vGPU host and guest drivers on VMware Private AI Foundation, with the validation checks and version-skew traps that decide whether GPUs actually schedule.
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Prepare a GPU Workload Domain for VMware Private AI Foundation (Private AI Series, Part 8)
A field-tested, bottom-up procedure for standing up a GPU-accelerated workload domain on VCF 9.0 for Private AI Foundation: firmware, the vLCM vGPU driver, Shared Direct, a single-zone Supervisor, and the mistakes that actually bite.
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VMware Private AI Reference Architecture and Sizing: A Practical Blueprint (Private AI Series, Part 7)
How to size a VMware Private AI Foundation build the right way: two-domain design, choosing the deployment model, and working from workload back to GPU hosts and BOM on VCF 9.1.
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GPU Partitioning for VMware Private AI: Choosing Between vGPU, MIG and Passthrough (Private AI Series, Part 6)
Time-sliced vGPU, MIG-backed vGPU, GPU passthrough and the new ESXi 9 Update 1 hybrid mode each fit different Private AI workloads. Here is how to design the split, with a capability matrix and a reference topology.
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Choosing the Right GPU for VMware Private AI: L40S vs H100 vs H200 vs Blackwell (Private AI Series, Part 5)
A field-tested guide to picking the GPU for VMware Private AI Foundation: how L40S, H100, H200, RTX PRO 6000 Blackwell and A100 compare, why form factor beats the model name, and a clear verdict on which to choose for RAG, inference or training.
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VMware Private AI Foundation Planning and Prerequisites: GPU Hosts, Drivers and Readiness (Private AI Series, Part 4)
A practitioner’s planning guide for VMware Private AI Foundation with NVIDIA on VCF 9: GPU host selection, the vGPU driver and GPU Operator interoperability matrix, sharing-mode choices, and the readiness checks that decide whether your first deployment lands clean.
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VMware Private AI Foundation Licensing: VCF Add-On vs NVIDIA AI Enterprise (Private AI Series, Part 3)
Private AI Foundation is three licenses, not one: VCF per core, the PAIF add-on per core, and NVIDIA AI Enterprise per GPU. Here is how they stack, what bundles with your GPUs, and the verdict on subscription vs perpetual.
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VMware Private AI Foundation Architecture and Components, Layer by Layer (Private AI Series, Part 2)
VMware Private AI Foundation is five layers, not one box. A reference walk through every PAIF component on VCF 9.1: the GPU platform, DSM with pgvector, Private AI Services, and the single-zone limit you have to design around.
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What VMware Private AI Foundation with NVIDIA Actually Is (Private AI Series, Part 1)
Part 1 of the VMware Private AI Series: a clear, opinionated explainer of what PAIF really is, what it is not, the components that do the work, and when it earns its license on VCF 9.1.
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VMware Cloud Foundation 9: Lessons From the Whole Series and My Verdict (VCF 9 Series, Part 37)
The capstone to the 36-part VCF 9 series: the through-line, the five decisions that decide every program, what 9.1 fixed, where the platform still bites, and a straight verdict on who should adopt it now.
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VCF 9 Performance Tuning vs Cost Optimization: Where to Spend Your Effort (VCF 9 Series, Part 35)
Performance tuning and cost optimization in VCF 9 pull in opposite directions. Here is which levers help which goal, where they collide, and the order I run them in on real clusters.
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VCF 9 Troubleshooting: The Stuck Workflows, Locks and Log Trails That Actually Bite (VCF 9 Series, Part 34)
A field guide to VCF 9 troubleshooting: clearing stuck SDDC Manager workflows, releasing the password and certificate system lock, pulling SoS support bundles, and reading the logs that actually tell you what failed.
Architect’s Toolkit
PJ’s Tools
VMware Cloud Foundation
- VCF Documentation
- VCF 9 Planning & Preparation Workbook
- VCF Bill of Materials (BoM)
- VMware Compatibility Guide
- VMware Interoperability Matrix
- VMware Configuration Maximums
- VMware Ports & Protocols
- VMware Hands-on Labs
- RVTools Download
Nutanix
AI & Cloud-Native Platform
- NVIDIA Build (Model Catalog)
- NVIDIA AI Enterprise Reference Architecture
- NVIDIA NIM Performance Benchmarking
- NVIDIA NGC Catalog
- NeMo Microservices Helm Chart
- Helm Charts Repository
- Hugging Face Models
Architecture & Design
About the Author
Dr Pranay Jha
Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.
Recommendations & Endorsements
Pranay has very deep technical knowledge and exceptional capabilities. He has strong ability to well-manage complex situations and deliver the customer expectations with high standards of satisfaction. We worked together in one of most complex migration projects and Pranay delivered flawlessly.
Pranay was my VMware Architect on one of our financial accounts at IBM. He was instrumental in documenting and recommending our reference architecture. As a Chief Architect, you are only as good as your team that supports you. Pranay was top notch.
Pranay is proactive, result oriented, responsible and technically sound. Always ready to put all his energy to get the job done. Exceptional troubleshooting skills in Windows Server, virtualization and VMware — a great asset to any company.
Pranay is one of the most talented and dedicated persons I have ever worked with. His vast knowledge from different domains enables him to discuss and help on almost every topic in IT. Needless to say, he is expert of experts in VMware.
DrJha