Delegated License Service Release Notes
NVIDIA Delegated License Service Release Notes
Release information for all users of NVIDIA Delegated License Service.
This document summarizes current status, information on supported platforms, and known issues with NVIDIA® License System release 1.0.
1.1. Supported Hypervisors
The Delegated License Server (DLS) of the NVIDIA License System is supplied as a virtual appliance, which must be installed on a supported hypervisor software release.
The following hypervisor software releases are supported:
- Citrix Hypervisor 8.2
- Linux Kernel-based Virtual Machine (KVM) hypervisors with QEMU 2.12.0 (qemu-kvm-2.12.0-64.el8.2.27782638)
- Microsoft Windows Server with Hyper-V 2019 Datacenter edition
- Red Hat Virtualization 4.3
- VMware vSphere Hypervisor (ESXi) 6.7, 7.0, and 7.0.2
1.2. Supported NVIDIA vGPU Software Releases
NVIDIA License System supports NVIDIA vGPU software graphics drivers starting with NVIDIA vGPU software release 13.0 as licensed clients.
1.3. Web Browser Requirements
NVIDIA License System and NVIDIA Licensing Portal were tested with Google Chrome version 86.0.4240.111 (Official Build) (64-bit).
2.1. Client fails to acquire offline license when rebooted
When a licensed client that is configured with an offline license is rebooted, the client might fail to acquire a license. When this issue occurs, the following message is written to the licensing event log file on the client:
Client fingerprint mismatch - No valid lease found in local trusted store
This issue occurs when the MAC addresses of the network adapters for a client change when the client is rebooted. When the MAC addresses change, the NVIDIA vGPU software graphics driver treats the client as a new client and the offline license in the client's trusted storage database is discarded.
Typically, the MAC addresses change because the network configuration of the client has been explicitly changed by an administrator. However, the MAC address of a client can unexpectedly change when the client is rebooted for several reasons, for example:
- The client requests a license before the client's network interfaces are initialized.
- Docker or the NVIDIA Container Runtime for Docker is installed on the client and the ifconfig command lists it as a network interface.
If necessary, you can create a predefined sudo user account for a DLS virtual appliance. This user account has the elevated privileges required to update and upgrade the CentOS GPL/LGPL v3 licensed Open Source Software (OSS) libraries within the DLS virtual appliance. This account provides no other access to a DLS virtual appliance.
This account is provided to comply with the terms of the GPL/LGPL v3 license under which some libraries in the CentOS operating system in the DLS virtual appliance are released.
Any changes to the CentOS GPL/LGPL v3 licensed OSS libraries within the DLS virtual appliance might impair the performance of the DLS virtual appliance or prevent it from functioning as required. If you make any changes to these libraries, the affected DLS instance is no longer eligible for support from NVIDIA. It is your responsibility to ensure that the DLS instance continues to perform and function as required.
Perform this task for each DLS virtual appliance for which you want to create the DLS sudo user account. If the DLS virtual appliance is hosting a node in an HA cluster, the creation of the user is not automatically propagated to the other node in the cluster.
- From the hypervisor, log in as the user dls_system to the VM that hosts the DLS virtual appliance. You don't need to provide a password to log in as the dls_system user.
- Run the /etc/adminscripts/enable_sudo.sh script.
- When prompted, provide a password for this user.
The sudo user with elevated privileges
rsu_admin is created.
The file /var/dls/sudouser is created to indicate that the CentOS GPL/LGPL v3 licensed OSS libraries within the DLS virtual appliance have been updated or upgraded. If the DLS virtual appliance is hosting a node in an HA cluster, this file is automatically copied to the other node in the cluster.
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