The article by Kent Brake outlines a comprehensive guide on how to monitor NVIDIA GPU metrics using Elastic Observability, highlighting the growing importance of GPUs in various high-performance computing applications beyond gaming, such as neural network training and data center workloads. It details the process of setting up the necessary NVIDIA tools and Elastic Observability components, including installing NVIDIA Datacenter Manager, NVIDIA's gpu-monitoring-tools, and Metricbeat, with specific instructions for configuring these tools on a cloud deployment. The guide emphasizes the modularity of Metricbeat's configuration, which enables the integration of GPU metrics via Prometheus, and provides troubleshooting tips and configuration checks to ensure successful monitoring. Additionally, it discusses the utility of Elastic Observability in analyzing GPU performance, offering insights into various metrics like GPU temperature, power usage, and clock speeds, and suggests using Elastic alerting and machine learning to automate recommendations and detect anomalies. The article concludes by inviting users to try the steps with a free trial of Elastic Cloud.