NVIDIA NIM for Large Language Models (LLMs) on GKE
This guide explains how to deploy NVIDIA NIM inference microservices on a Google Kubernetes Engine (GKE) cluster, requiring an NVIDIA AI Enterprise License for access to the models. It details the process of setting up a GKE cluster with GPU-enabled nodes, configuring access to the NVIDIA NGC registry, and deploying a NIM using a Helm chart with persistent storage. Finally, it demonstrates how to test the deployed NIM service by sending a sample prompt and verifying the response, ensuring the inference microservice is functioning correctly.