Jackal24

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  1. True. Understood. I'll try to get some soon. I believe the T400 is a non-consumer card and doesn't have the p2 lock on it for CUDA workloads. The weird thing is that this happens even with only plex which I didn't think was considered a CUDA workload. (Although I don't know enough about it.)
  2. When I was running tdarr, it was hitting the card at 100% utilization, but running it slower than it would have had it been at p0
  3. According to "nvidia-smi -q -d SUPPORTED_CLOCKS | more" my max clocks on my 3050 should be 7001 and 2130. Under power state p2, I am only getting 6800 and 1807, so it is definitely being slowed. If I try to change it using "nvidia-smi -ac 7001,2130", it tells me that it isn't supported.
  4. I'll play with it some more tomorrow and see. Doing 4k transcoding to 1080p
  5. Looks like it is possibly an issue with the driver. Apparently Nvidia locks you at p2 if you are doing any CUDA work on consumer cards
  6. Just put a 3050 in and it is also stuck at p2.
  7. No nvidia-persistenced. Not sure if it is slower or not. Just switched to a 3050 and it is also showing p2 always.
  8. 1660 Super. It always stays in power mode P2 and never goes to P0 even under high load. I know of at least one other person with this issue.
  9. No. Mine always shows P2 no matter if it is at idle or fully loaded.
  10. I have tried loading it up with no change to the power state.
  11. That works for getting it to go to p8 (idle) when not in use, but it doesn't help me to get to p0 (full power) instead of p2 when being used.
  12. The last 8 episodes of a show I transcoded (the originals are all in the same h.264,. 1080p format) 1060TI (on remote unRAID server) average FPS: 81,83,87,82 1660 (on local unRAID server)Super: 58.60.57.58
  13. I have enabled nvidia-persistenced. It is definitely slower. I reliably get about 20-50% more fps on the 1060TI on similar files (running 2 workers on each machine).
  14. When I use it in Plex or Tdarr docker containers, it never gets above P2 power state (as reported by GPU statistics). When it is not being used, it drops to P8 (which is normal).