## [GPU Metrics - Memory Utilization](https://docs.rafay.co/blog/2024/09/26/gpu-metrics---memory-utilization/)

In the [introductory blog](https://docs.rafay.co/blog/2024/09/25/what-gpu-metrics-to-monitor-and-why/) on GPU metrics, we discussed about the GPU metrics that matter and why they matter. In this blog, we will dive deeper into one of the critical GPU metrics i.e. GPU Memory Utilization.

GPU memory utilization refers to the percentage of the GPU’s dedicated memory (i.e. framebuffer) that is currently in use. It measures how much of the available GPU memory is occupied by data such as models, textures, tensors, or intermediate results during computation.

Important

Navigate to documentation for Rafay's integrated capabilities for [Multi Cluster GPU Metrics Aggregation & Visualization](https://docs.rafay.co/dashboard/gpu_dashboard/).