rmast

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Even on that near empty K80 8GB is just too short ![image](https://user-images.githubusercontent.com/3341558/177014158-7d3f9d06-9f87-47ff-9ea8-8737b773910c.png)

It's already running more than an hour on quadrupalizing a 300 dpi A4, so the 6 core K80 is no luxury.

After one and a half hour the memory footprint has more than doubled: ![image](https://user-images.githubusercontent.com/3341558/177016101-4b8276a0-98c8-4c12-b949-0dd1f5583577.png)

Next morning still a bit more memory... Glad I disabled Windows update... ![image](https://user-images.githubusercontent.com/3341558/177024221-e66e8177-03b5-4080-880a-88f2eee54866.png)

Used memory still growing a bit: ![image](https://user-images.githubusercontent.com/3341558/177030228-bec14f8b-2e95-4d3e-948d-800051dfd357.png)

The K80 contains a GPU, with CUDA codes sm_30, sm_35 and sm_37. It might be ignored by the used software.

How long do you estimate a 300 dpi A4 will take with only 6 cores?

Do you know an Azure VM which supports DirectML?

DirectML should support Kepler according to the readme: https://github.com/microsoft/DirectML

Just broke off the long run and started x0.5