---
title: "GPUs View"
slug: "gpus-view"
updated: 2026-06-08T15:31:08Z
published: 2026-06-08T15:31:08Z
canonical: "support.controlup.com/gpus-view"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://support.controlup.com/llms.txt
> Use this file to discover all available pages before exploring further.

# GPUs View

> [!NOTE]
> Feature available only in version 9.2 Beta
> 
> This article describes monitor features only available in ControlUp Real-Time DX version **9.2.5 Beta**.

The **GPUs** view provides comprehensive, host-level monitoring for physical NVIDIA GPUs. This view in the Real-Time DX Console and the VDI web UI gives you deep visibility into hardware performance, resource consumption, and environmental metrics, helping you right-size infrastructure capacity and control costs.

GPU metrics are displayed across the real-time topology, appearing in the dedicated **GPUs** view widgets and data grid, as well as in new GPU metrics columns on the existing [**Hosts**](/v1/docs/hosts-view-actions) and [**Machines**](/v1/docs/machine-view-actions) views grids. You can focus on a specific host or machine in the topology view (Details) or organization tree, and drill down directly to individual user sessions utilizing GPU resources.

![VDI details GPUs view element selected showing GPUs widgets and GPUs metrics](https://cdn.document360.io/098100b7-b9da-4bea-b4b9-017140ab863e/Images/Documentation/VDIGPUs.png)

You can also use GPUs to configure Stress, Scheduled, and Advanced [triggers](/v1/docs/setting-up-triggers), as well as [Script-based Actions](/v1/docs/script-based-actions-sba), to help your organization get ahead of rising GPU costs.

> [!NOTE]
> Note
> 
> Because NVIDIA doesn’t expose GPU metrics through standard VMware APIs, host-level data collection for this feature requires direct SSH access to your ESXi hosts.

## GPU Triggers and Actions

GPUs are fully integrated targets within ControlUp for VDI's automation engine, empowering you to move from passive monitoring to proactive management.

### Stress Settings & Alerting

You can configure customized stress level thresholds for GPU metrics like utilization, memory depletion, or high temperatures. When a host's GPU exceeds these health parameters, its color-coded stress state shifts in real-time, alerting you to potential bottlenecks before end-user experience degrades.

### Advanced & Scheduled Triggers

Set up automated workflows using Advanced Triggers. For example, to manage cost control: Schedule reports or trigger alerts on underutilized GPU assets to optimize allocation across your host clusters.

### Script-Based Actions (SBAs)

Contextual SBAs can be executed directly against objects in the **GPUs** view. You can run diagnostics, gather deeper NVIDIA SMI log telemetry, or reset stuck display sub-systems right from the grid without opening a separate host management shell.

## GPUs View Column Reference

The following columns are available in the Information Grid while using the **GPUs** view.

| **Column** | **Description** |
| --- | --- |
| Name | Name/model of the GPU |
| Hostname | The name of the host which hosts GPUs |
| Driver version | Installed NVIDIA driver version |
| Timestamp | The timestamp of when the query was made |
| GPU Utilization | Percentage of GPU core usage |
| Memory Utilization | Percentage of memory bandwidth usage |
| Current temp | Current temperature of the GPU |
| Power Draw | Real-time power consumption |
| P-State | Power state (performance level), e.g., P0 = max performance, P8 = idle |
| User sessions | Total number of user sessions on virtual machines using this GPU |
| Active vGPUs | Number of active virtual GPUs (vGPUs) currently running on the physical GPU |
| Bus Id | PCI bus ID of the GPU |
| Clocks - graphics | Current graphics clock speed |
| Clocks - SM | Current Streaming Multiprocessor clock speed |
| Clocks - Video | Current video encoder/decoder clock speed |
| Clocks Memory | Current memory clock speed |
| Free memory | Free (unused) GPU memory |
| Index | GPU identifier on the host (e.g., 0, 1, 2, 3) |
| Installed memory | Total GPU memory available |
| Max operating temp | Maximum safe operating temperature defined by the GPU manufacturer |
| Power limit | Maximum power draw allowed |
| Scheduler policy | vGPU scheduler policy configured on the physical GPU (e.g., Equal Share, Best Effort) |
| Shutdown temp | The critical temperature at which the GPU will automatically shut down to prevent hardware damage |
| Slowdown temp | The temperature at which the GPU begins to throttle performance to prevent overheating |
| Stress Level | Stress Level is a flexible load measure which you can customize using the "Stress Settings" pane |
| Target Temperature | Target temperature the GPU attempts to maintain under load by adjusting cooling mechanisms such as fan speed |
| Used memory | Currently used GPU memory |
| UUID | Universally unique identifier of the GPU |