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Deploying and Scaling AI Models on Azure Container Apps
A hands-on guide to containerizing, deploying, and auto-scaling AI inference workloads on Azure Container Apps with GPU support, model caching, and cost optimization.
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4 posts from the notebook.
A hands-on guide to containerizing, deploying, and auto-scaling AI inference workloads on Azure Container Apps with GPU support, model caching, and cost optimization.
Systematic patterns for crafting reliable prompts in production, from structured output enforcement to multi-step reasoning and guardrail strategies.
A practical guide to implementing Retrieval-Augmented Generation using Azure AI Search as the vector store and Microsoft Semantic Kernel for intelligent orchestration in .NET.
Configure Claude Code with different AI providers. Access free and paid models including Gemini, OpenAI, and Groq.