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Everything posted by olehj

  1. Front page updated with Nvidia driver version and the clock table with additional information below it.
  2. If it requires additional start up flag, then probably not. If it just requires open ports/port mapping, you can set that up manually yourself in the template setup and check if you can connect to it. I won't be using more time with this docker container unless it stops working.
  3. Ye, had the same experience here. Not so much I can do about it. Maybe there's some conflict with the 465 drivers between docker and unraid even if it's built from the same source, or just a bug. Won't use time to investigate this as it's probably at the near end of the ethereum mining era. Stable 460 drivers work, so I'll write a note about it at the front page. Thanks for the info trhough.
  4. It should auto detect and install correct drivers. Maybe the location it download drivers from are down for maintenance or something. I can't check it now, but it worked for me yesterday.
  5. Nice, decided to fiddle around with your numbers.. and should have done a bit more fiddling earlier.. ended up with these results on the RTX 3070: Power limit: 120W (seems to be the minimum allowed for my card) Clock offset: -550 Memory offset: 2300 Fan: auto Hashrate: 60.2 MH/s - so apparently very effective!
  6. I have a RTX 3070 Gigabyte Gaming OC 8GB, but it sits inside a relatively hot server, so I expect some hashes might be lost just there. But it's important to compare with the same tools, maybe nicehash calculates hasrates differently as well. A fair comparison would be using nsfminer for windows and the one in linux/docker container, and then use nvidia-smi on both windows and linux to determine power usage (maybe also nvidia-smi shows the same clocks as well across platforms?).
  7. This might be related and known: https://www.reddit.com/r/EtherMining/comments/7lfbe0/windows_vs_linux_which_is_more_power_efficient/ What I noticed with my RTX 3080, is that I get way more stales in Windows than in Linux. Windows is about 6-10% stales (always some stales), in Linux 0-1% (mostly no stales). There might be more things into these things which might be hard to answer.
  8. And also, do you use the same tool to check the actual power usage, nvidia-smi? Some 3rd party tools might show different numbers, I dunno.. just a thought.
  9. I have no idea, different drivers perhaps (windows and Linux drivers might behave differently for all i know). I haven't tried it myself, but ensure that the gpu and memory clock is exactly the same (the input is different from windows and Linux drivers)
  10. Might work fine with one GPU, i didn't get any luck by trying to pass through more than one to a VM. Dunno why, but docker worked for me 😛
  11. It should not matter, I have 3 GPU's running without display, the 4th GPU is running VM with mining inside it as I use it for multiple things. The configuration should ignore connected screens and create fake screens. But you can try with one connected, maybe a HDMI-dummy will fix the problem in that case.
  12. Does the GPU run other tasks? Might be that plex blocks it or a VM obviously.
  13. Just try to restart the container. I have it autostarted with some wait time at 10 seconds. Maybe the drivers didn't get loaded or something. Right now your card is likely running without overclocking. If a restart doesn't help, try to reinstall it/force update. Then check in the docker log after startup if the correct nvidia drivers are downloaded and installed (must match the drivers installed in unraid)
  14. Ye, fan IDs increases by number of total fans, not limited per GPU. I did upgrade to 6.9.2 as well. Don't remember if i got the fatal error, but GPU ID might change maybe. Dunno.
  15. You should mainly not get incorrect at all. I think expected hashrates for 3060Ti is the same as 3070, so ~60-61. You rather have a bit lower hashrates and power consumption than incorrect results. Fa controllers might vary, often 3 fan cards still uses only 2 controllers. There's commands to figure out that, but you might write them under "Console" in the docker container. nvidia-settings -q fans
  16. Hard to say, I think I am running HW transcoding with my P2000 5GB MEM in Emby. So maybe memory just have to be just enough above the DAG size and transcoding requirements (which might vary from file to file). Mining is a heavy workload, so it won't surprise me that transcoding might not work properly or at all. But at least you can turn off one single docker/mining when not transcoding, instead of all of them
  17. You install the container multiple times (one per card), and keep them card specific. After first install, you can click "Add container", then select the "NsfminerOC" template and adjust values accordingly. "nvidia-smi" in terminal will show you the GPU ID for the specific card.
  18. The docker just runs nsfminer and sets up the overclocking etc. No other ways it is controlled. Source code is out there.
  19. No relevant questions for this docker container, all infomation about mining and wallets you will find at ethermine.org or other mining sites. Google is your friend here. This is more than I am willing to support.
  20. 1) yes 2) any name (it appears as a name for the worker, so you can separate multiple GPUs) 3) Probably, google it 4) Perfectly normal for Quadro cards as they can't be overclocked/they are locked.
  21. Google it, and you will find the answer. Everybody has asked that before, so do some effort yourself, thanks
  22. This is beyond of what I am going to support here, it's strictly the docker container. However, for others and your reference, enter your address at https://ethermine.org/ to check your current hashrate etc. The website has a lot of information about payouts and you can google different ethereum mining calculators out there for expected income. You will find all your information there, and it's more accurate than the info I can give you. Happy mining
  23. Then you have too less GPU memory, as you see, it requires minimum 4.23 GB and your GPU has 2 GB (1.95 GB) total.
  24. Not sure what you mean about the app? It shouldn't take too long before you get DAG and hashrates available.. 5 minutes tops I expect. Also check that it did detect CUDA at the start of the worker process, without it, it will always generate 0. Some older cards might not be supported by newer CUDA versions, I have no overview of this.