Harmke Alkemade developed a comprehensive deployment blueprint for a Retrieval Augmented Generation (RAG) workflow on Azure Kubernetes Service, contributing to the NVIDIA/nim-deploy repository. The work involved configuring the cloud environment, installing the NVIDIA GPU Operator, and orchestrating the RAG deployment using Helm, with a focus on enabling secure, scalable experimentation with enterprise data. Harmke documented detailed access and testing procedures for the GPU-accelerated RAG frontend, ensuring enterprise users could efficiently validate and utilize the system. The project demonstrated depth in cloud computing, Kubernetes, and generative AI, providing a robust foundation for enterprise-grade RAG experimentation and deployment.