FAQs: Nvidia Offload Support
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- 1 Nvidia Offload
- 1.1 Q: When do I need an Nvidia Offload Card?
- 1.2 Q: Which Nvidia card is compatible?
- 1.3 Q: Can I use an AMD GPU in place of an Nvidia GPU?
- 1.4 Q: How do I enable the Nvidia Offload support for content synchronization?
- 1.5 Q: Do I need to restart the Userful host after enabling or disabling the Nvidia Offload Card?
- 1.6 Q: How do I see if the Nvidia Offload Card is in use?
- 2 Related Links
Q: When do I need an Nvidia Offload Card?
Userful recommends Nvidia offload card for all video wall configurations. The Nvidia offload card renders higher video and image quality in a scaled video wall with a substantial improvement to synchronization, and can reduce CPU load by as much as 50%. For a complete list of supported cards, visit Nvidia Offload Support.
Q: Which Nvidia card is compatible?
See the list of our tested and certified cards. Other 10 series Nvidia cards may also work.
Q: Can I use an AMD GPU in place of an Nvidia GPU?
No, at this time only Nvidia GPUs are supported. An AMD GPU will not actively hinder the system, but currently cannot be used to assist a video wall in any way.
Q: How do I enable the Nvidia Offload support for content synchronization?
- Ensure that you have supported Nvidia Offload Card installed in Mid-Range Appliance
- Set the default startup GPU in the BIOS of the Userful host to the Intel® integrated GPU
- You must NOT plug any display onto the Nvidia GPU
- Go to the Control Center > Settings > Performance Settings Card and enable the Nvidia Offload Card Support
Note: You will need a special license for Nvidia offload support. See Nvidia Offload Support for more information.
Q: Do I need to restart the Userful host after enabling or disabling the Nvidia Offload Card?
Yes, the system will give you the warning message and restart the Userful host automatically when changes are applied.
Q: How do I see if the Nvidia Offload Card is in use?
Open Control Center > Settings and check the "Performance Settings" link. You can also check the GPU usage by typing
nvidia-smi command at terminal.