The Azure AI Foundry portal is a cohesive environment for developing AI solutions, enabling users to create Hubs and Projects that facilitate collaboration among data scientists, developers, and engineers. It integrates services like Azure Open AI, offering shared resources and role-based access management while streamlining AI services' deployment and management processes.
The blog discusses the Kubernetes AI Toolchain Operator (KAITO) setup on AKS, detailing the NVIDIA GPU VM instance types for node pools hosting AI inference models. It emphasizes cost efficiency and GPU specifications for deploying large models.
KAITO simplifies the deployment of large language models (LLMs) in Azure Kubernetes Service (AKS) environments with preset GPU configurations. This tool automates the setup process, including node provisioning and identity management, essential for data experiments while ensuring security compliance. It enhances efficiency, allowing engineers to focus on AI/ML model experimentation. #azure #kubernetes #AI #genAI #mvpbuzz
This blog post is a continuation of Deploying Azure Kubernetes Service Demo Store App with Azure Open AI – Part 1. It dives into the Python code that calls the Azure Open AI Service and highlights the use of Semantic Kernel. The AKS Demo Store uses the AI functionality to generate product descriptions. The article emphasizes the benefits of using Azure Kubernetes Service (AKS) to support AI Ops platform.
This blog series chronicles my experience deploying and learning the technical details of the AKS Demo Store App with Azure Open AI. The app uses AI to generate product descriptions, deployed in a Kubernetes architecture. It showcases Azure Open AI's potential and the future application focus.
Roy Kim on Azure and AI 