How to Fix Nvidia Container High CPU Usage

NVIDIA includes plenty of background processes and sometimes some of them choose to misbehave and cause all sorts of issues to the users. Among such issue is the fact that the NVIDIA Container process uses way excessive CPU power which slows down your computer system and disrupts other procedures.

In some cases, this occurs while gaming or while carrying out specific actions however sometimes it occurs while the system is idle and it caused headaches to individuals all around the world. We have prepared numerous helpful techniques for you to take a look at and hopefully resolve the issue!

What is Nvidia Container?

What is Nvidia Container

NVIDIA Container Runtime is a GPU aware container runtime, compatible with the Open Containers Initiative (OCI) spec used by Docker, CRI-O, and other popular container technologies. It streamlines the procedure of building and releasing containerized GPU-accelerated applications to desktop, cloud or data centers.

With NVIDIA Container Runtime supported container technologies like Docker, developers can cover their GPU-accelerated applications in addition to its dependencies into a single package that is guaranteed to provide the very best performance on NVIDIA GPUs, regardless of the deployment environment.

How to Fix Nvidia Container High CPU Usage

1. Restarting Nvidia Services

In many cases, particular services require to be rebooted to get things up and working. These services can in some cases get glitched and prevent the GPU from attaining its full functionality and trigger High CPU Usage. In this action, we will be restarting them totally. For that:

  • Press “Windows” + “R” to open the Run prompt.
  • Type in “Services.msc” and press “Enter” to open the service management window.
  • Right-click on the “Nvidia Display Container Local System” option and choose the “Stop” option.
  • Right-click on it once again after some time and choose the “Start” button.
  • This restarts the service and it may eliminate the glitch for you.
  • Check to see if the problem continues.
  • If the problem goes away but it comes back after rebooting your computer, you can make a “. bat” file that runs these commands for you immediately.
  • In order to do so, right-click anywhere on the desktop and select “New > Text Document” option.
  • Paste the following commands inside this text document.
net stop NVDisplay.ContainerLocalSystem net start NVDisplay.ContainerLocalSystem 
  • Click on “File > Save As”, choose “All Files” from the file type dropdown and type in “Restartservice.bat” in the File name option.
  • Click on “Save” and now you can run this file after restarting to refresh this service automatically.

2. Disable NVIDIA Schedules Tasks and NVIDIA Telemetry Container Service

The NVIDIA Telemetry Container is a service set up together with NVIDIA software application which is basically used to track some of your logs, habits and other similar data on your computer system. It can be used to notify the NVIDIA of bugs or to report unwanted habits.

Nevertheless, users have reported that disabling tasks scheduled by the service and disabling the service completely later handled to fully solve the issue they were experiencing. Check it out!

  • Open Control Panel by finding it in the Start menu. You can likewise look for it utilizing the Start menu’s search button.
  • After the Control Panel window opens, alter the “View by” option on top right part of the window to “Large Icons” and scroll down up until you find the Administrative Tools entry. Click it and find the Task Scheduler shortcut at the top. Click it to open it as well.
  • The task lies under Task Scheduler Library. Locate all tasks whose name starts with ‘NvTm’, right-click on them, and select Disable from the context menu which will appear. Repeat the same process for each entry.

After disabling the tasks, it’s time to disable the NVIDIA Telemetry Container service from launching on your computer system. This need to deal with the problem once and for all!

  • Open the Run utility by using the Windows Key + R key mix on your keyboard (press these keys at the same time. Type “services.msc” in the newly opened box without the quotation marks and click OKAY in order to open the Services tool.
  • Locate the NVIDIA Telemetry Container service on the list, right-click on it and choose Properties from the context menu which appears.
  • If the service is begun (you can check that just beside the Service status message), you ought to stop it by clicking the Stop button in the middle of the window.
  • Make sure that the choice under the Startup type menu in the service’s properties window is set to Disabled prior to you proceed with other steps. Validate any dialogue boxes which might appear when changing the start-up type.

You may receive the following mistake message when you click Start:

“Windows could not start the service on Local Computer. Error 1079: The account specified for this service differs from the account specified for other services running in the same process.”

If this happens, follow the guidelines listed below to fix it.

  • Follow steps 1-3 from the guidelines above in order to open the service’s homes window. Browse to the Log On tab and click the Browse … button.
  • Under the “Enter the object name to select” entry box, key in your account’s name, click Check Names and wait for the name to appear.
  • Click OK when you are finished and type in the password in the Password box when you are prompted with it, if you have setup a password. It ought to now start without issues!

3. Disable “nvdisplay.container.exe”

The primary culprit behind this can often be a folder that is kept in the directory where the drivers have been installed. This folder doesn’t truly affect any performance of the computer system and thus can be erased. Therefore, in this step, we will first be erasing the folder and after that we will restart our computer. For that:

  • Navigate to the following location.
C:\Program Files\NVIDIA Corporation\Display.NvContainer\plugins\LocalSystem\ 
  • Select the “DisplayDriverRAS” folder and press “Shift” + “Delete” button on your keyboard.
  • Now move to the following directory.
 C:\Program Files\NVIDIA Corporation\ 
  • Totally remove the “DisplayDriverRAS” folder from here aswell.
  • Navigate to the “Task Manager” and end the “nvdisplay.container.exe” process.
  • Examine and restart the computer to see if the issue continues.

4. Uninstall GeForce Experience

GeForce Experience is a companion application to your GeForce GTX graphics card and it’s developed by NVIDIA. It keeps your drivers approximately date, immediately enhances your game alternatives, and gives you a way to share gaming screenshots and videos.

That being said, the program is not that crucial and absolutely nothing depends on it to run effectively. Additionally, users have reported that simply uninstalling the GeForce Experience program from Control Panel or Settings handled to fix the NVIDIA container high CPU usage problem.

  • Click on the Start menu button or the search bar next to it and open Control Panel by looking for it. Alternatively, you can click the gear icon in order to open Settings if you are a Windows 10 user.
  • In Control Panel, alter the “Consider as:” option at the top ideal part of the window to Classification and click on Uninstall a Program under the Programs section.
  • If you are using the Settings utility on Windows 10, clicking on Apps should instantly open a list of all set up applications on your PC.
  • Locate the GeForce Experience entry on the list and click on it once. Click the Uninstall button which will appear above the list and validate any dialog boxes which might appear. Follow the guidelines on-screen in order to uninstall GeForce Experience and restart your computer afterward.


With the help of the above-mentioned Fixes, we hope you’ll be able to solve the Nvidia Container high CPU Usage problem. If the methods mentioned above didn’t work for you, you can try installing the NVIDIA drivers to get the system the older state and then try checking the CPU usage.

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