Tag: PAIF
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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.
Architect’s Toolkit
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
- AI Infra Sizing & Cost Calculator
- 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.
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