Tag: Reference Architecture
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watsonx Reference Architectures for RAG, Agentic, and Regulated Workloads (IBM Gen AI Series, Part 23)
The three watsonx reference architectures that recur in real builds: enterprise RAG on watsonx.data, agentic systems on watsonx Orchestrate, and a watsonx.governance overlay for regulated work. Which to build first, what each costs, and where they break.
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Reference Architectures on Google Cloud, from Chatbot to Batch (Google Cloud Gen AI Series, Part 29)
Most generative AI on Google Cloud reduces to four shapes: a direct call, RAG, an agent, and batch. Here is how each maps to managed services, what it costs, and which one to reach for first.
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Reference Architectures for Azure GenAI, from Chatbot to Batch (Azure Gen AI Series, Part 29)
The four architectures almost every Azure GenAI project actually needs, chatbot, retrieval, agentic, and batch, with the baseline Foundry components, real sizing numbers, and when to add an API Management gateway.
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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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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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VCF 9 Stretched Clusters and Multi-Site Design: Topology, Witness and the Latency Budget (VCF 9 Series, Part 30)
A reference design for stretching VMware Cloud Foundation 9 across two sites: vSAN site awareness, witness placement, the 5ms latency budget, storage policy, and when a single stretched instance beats multi-instance federation.
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VCF 9 Reference Architecture: Sizing, Topology and Design Trade-offs (VCF 9 Series, Part 7)
The VCF 9 management domain topology, appliance sizing and the standard versus consolidated decision, plus the one appliance (VCF Automation) that quietly drives your whole BOM.
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.
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