How to Monitor Resource Usage for Self-Hosted AI Applications
Self-hosted AI applications can consume significant CPU, RAM, GPU memory, and disk space, especially when running large language models or handling multiple requests. Without proper monitoring, resource exhaustion can slow down inference, cause application crashes, and affect other services running on your server. This guide explains how to monitor resource usage for self-hosted AI applications
