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Specs probably too small #10
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It's already running more than an hour on quadrupalizing a 300 dpi A4, so the 6 core K80 is no luxury. |
Wow! Thank you for the comprehensive tests that you did! :D |
The K80 contains a GPU, with CUDA codes sm_30, sm_35 and sm_37. It might be ignored by the used software. |
Yes, sadly the library just ignore this GPU |
How long do you estimate a 300 dpi A4 will take with only 6 cores? |
Do you know an Azure VM which supports DirectML? |
I estimate from 15 to 30 minutes |
Sorry, i m not pratical with Azure stuff |
DirectML should support Kepler according to the readme: |
Yes, but i suppose maibe they refers to commercial GPUs like GTX |
Just to be sure, can you try first a x0.5 upscale or x1 to check if everything works fine, this must be quick |
Just broke off the long run and started x0.5 |
oook thanks, i was thinking did you installed nvidia drivers on the vm? |
Should the tool nvidia-smi be on Windows? It can't find it. |
There was a popup stating K80 driver installed. |
I'm now installing the Tesla-driver from the Nvidia-site. |
yes, maibe that will do the catch because when you screened the task manager i saw that there was no GPU panel. That usually happen when the driver is not installed |
That feature only works with WDDM 2.0 I understand from this video. The K80 has 1.3. |
I've restarted the x1 upscale after a reboot. nvidia-smi responds.
CPU is high, nvidia-smi states "No running processes found" |
Really strange, so if you upscale on gpu it does nothing? |
Ah, also did you try install all Visual Studio runtimes? |
I'm downloading/uploading those other VC runtimes. The files mention 3.7, however there might be some issues with 3.7. The Tesla-driver I downloaded is supporting Cuda 11.4, so that might be introducing other issues. |
I have an old AMD X4 646 and 16GB. Running with CPU did not hog the CPU, so something went wrong.
My father has a new Windows 11 PC with 8GB. Running with CPU did not hog the CPU, so something went wrong.
Finally I decided to rent a Azure NC6_Promo with K80 cuda. That does the job after a reboot for installing the K80.
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