Tag: Azure AI Foundry
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Fine-Tuning Azure OpenAI, from SFT to DPO and RFT (Azure Gen AI Series, Part 16)
SFT, DPO, and RFT on Azure OpenAI: which models take which method, what the training and hosting actually cost, and how to read the loss curve before you deploy.
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Azure Prompt Flow, Authoring to Evaluation to Deploy (Azure Gen AI Series, Part 15)
Prompt Flow now carries a retirement date. Here is how it works, when it still earns a place in your Azure pipeline, and where to build new instead.
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Azure AI Foundry Agent Service, from First Agent to Production (Azure Gen AI Series, Part 13)
Foundry Agent Service is the managed runtime in Azure AI Foundry that stores an agent, runs it against a conversation thread, and calls tools. Here is how the pieces fit, when to switch to standard setup, and where it breaks.
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Azure OpenAI vs Foundry vs Azure Machine Learning, and Which One Your Project Belongs In (Azure Gen AI Series, Part 5)
Azure OpenAI, Microsoft Foundry, and Azure Machine Learning look interchangeable and are not. A practical guide to which resource your project belongs in, and how to move between them without a rebuild.
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Azure Foundry Model Catalog and Models-as-a-Service (Azure Gen AI Series, Part 4)
The Foundry catalog splits into models sold by Azure and partner models, and every one deploys as serverless Models-as-a-Service or as managed compute. Here is how to pick, with the permission and rate-limit traps that bite first.
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Azure OpenAI in Foundry Models, and How to Choose One (Azure Gen AI Series, Part 3)
Azure OpenAI in Foundry Models is the set of OpenAI models you deploy inside a Foundry resource. Here is which models you get in 2026, how to pick one, and how the call goes out with the v1 API.
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Azure AI Foundry Platform and Foundry Projects Explained (Azure Gen AI Series, Part 2)
Microsoft renamed Azure AI Foundry and rebuilt it around one resource, projects, and a single SDK. Here is what the platform is, how projects work, and your first API call against it.
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Azure Generative AI Stack, End to End (Azure Gen AI Series, Part 1)
The whole Azure generative AI stack in one map: Azure AI Foundry, the model catalog, the three deployment types that decide your bill, retrieval, agents, and the compute underneath. Where to start and what to skip.
Architect’s Toolkit
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VMware Cloud Foundation
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Nutanix
AI & Cloud-Native Platform
- NVIDIA Build (Model Catalog)
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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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