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Install4j gpu option
Install4j gpu option












  1. #Install4j gpu option install
  2. #Install4j gpu option verification

#Install4j gpu option install

  • To install the extension manually, see Install GPU extension on VMs for your Azure Stack Edge Pro GPU device.
  • You can install the extension manually, or you can install the extension from the Azure portal. Run the following command inside the VM to enable TLS 1.2: sp hklm:\SOFTWARE\Microsoft\.NETFramework\v9 SchUseStrongCrypto 1ĭeploy the template addGPUextensiontoVM.json to install the extension on an existing VM. Suggested solution: Use the following steps to enable TLS 1.2 on a Windows 2016 VM, and then deploy the GPU extension.

    install4j gpu option

    If the installation failed during the package download, that error indicates the VM couldn't access the public network to download the driver. Review the complete execution log in C:\WindowsAzure\Logs\WaAppAgent.txt.On a Windows VM, find the error status in C:\Packages\Plugins\\1.3.0.0\Status.On a Linux VM, look in /var/log/waagent.log or /var/log/azure/nvidia-vmext-status.To collect the guest logs, see Collect guest logs for VMs on an Azure Stack Edge Pro GPU device. Check the guest log for the associated error.In this case, you may see the following error message: Failed to download after 10 attempts. Here's an example that installs signing keys on an Ubuntu 1804 virtual machine: $ sudo apt-key adv -fetch-įailure to install GPU extension on a Windows 2016 VHDĮrror description: This is a known issue in versions lower than 2205. Option 2: After creating a GPU virtual machine of size in NCasT4_v3-series, manually install the new signing keys before installing the extension, then set required signing keys using steps in Updating the CUDA Linux GPG Repository Key | NVIDIA Technical Blog. Option 1: Apply the Azure Stack Edge 2205 updates to your device. Suggested solutions: You have two options to mitigate this issue:

    #Install4j gpu option verification

    May 5 06:04:53 gpuvm12 kernel:  nvidia:module verification failed: signature and/or required key missing- tainting kernel In this case, you'll see the following error in the syslog of the Linux VM: /var/log/syslog and /var/log/waagent.log

    install4j gpu option

    In versions lower than 2205, Linux GPU extension installs old signing keys: signature and/or required key missingĮrror description: The Linux GPU extension installs old signing keys, preventing download of the required GPU driver.

    install4j gpu option

    This article gives guidance for resolving the most common issues that cause installation of the GPU extension on a GPU VM to fail on an Azure Stack Edge Pro GPU device.įor installation steps, see Install GPU extension. APPLIES TO: Azure Stack Edge Pro - GPU Azure Stack Edge Pro 2 Azure Stack Edge Pro R














    Install4j gpu option