Tag: NVIDIA NIM
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What Is in the Private AI Catalog: A Guide to the Blueprints
A plain-language field guide to every blueprint in the Private AI catalog, grouped by job: compute, model serving, RAG retrieval, OCR and speech, and the access layer.
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What the NVIDIA AI Stack Actually Is, End to End (NVIDIA AI Series, Part 1)
NVIDIA AI is not one product, it is a stack roughly nine layers deep from silicon to agents. Part 1 maps the whole thing: GPUs, CUDA, the operators, TensorRT-LLM, Triton, Dynamo, NIM, NeMo, Nemotron, Blueprints and the AI Enterprise wrapper that supports it all.
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NVIDIA AI Enterprise Explained: What’s in the Suite, How It’s Licensed, and Whether It’s Worth It
A practitioner’s breakdown of what NVIDIA AI Enterprise actually bundles, how its per-GPU licensing lands on VMware vSphere, and when the subscription earns its keep versus when you can skip it.
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NVIDIA NIM Operator on VMware Private AI: The Reference Architecture for Declarative Model Serving (Private AI Series, Part 25)
The NIM Operator is the Kubernetes-native control plane for model serving on VMware Private AI. Here is how its CRDs, caching and autoscaling actually fit together, and the vGPU constraint that bites multi-GPU models.
Architect’s Toolkit
PJ’s Tools
VMware Cloud Foundation
- VCF Documentation
- VCF 9 Planning & Preparation Workbook
- VCF Bill of Materials (BoM)
- VMware Compatibility Guide
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- 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.
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