Just had a unit fail on my other machine, W11 with the following:

5950x
32gb memory
3090

I have 24 cores assigned to the units and the page file is automatically set to:

Virtual Memory: Max Size: 61,366 MB
Virtual Memory: Available: 41,259 MB
Virtual Memory: In Use: 20,107 MB

I have seen higher values, over 70gb set though.

I think a second unit has crashed as well but the site has not updated yet.

Any thoughts?

https://www.gpugrid.net/result.php?resultid=33158308

Are you running these on your cpu?

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Not just one CPU but also on all your cores plus GPU. Need to set your swap file to at least 50GB. It is memory hungry.
On message boards click on news. Only the latest two or three threads concern Python and everything is being discussed on those threads. The rest are ACMED threads. Mikey, enjoy.

Thank you very much I think I will try these after the New Year

There are so many GPU's out there with ONLY 2GB memory - it is inconceivable you are unable to harness this energy source.

There are so many projects our there which will run fine on the Geforce 1030. :)

I run Ubuntu, RTX 3080 Driver Version: 525.60.11 (Cuda 12.0) Boinc reports Cuda1131

Your driver supports CUDA 12, but the application is CUDA 11.3.1

Thx for the reply. Does this mean I should downgrade my driver to one that supports CUDA 11 to make ACEMD 3 App compatible? Python App runs properly with the current driver so this is confusing me a bit.

I run Ubuntu, RTX 3080 Driver Version: 525.60.11 (Cuda 12.0) Boinc reports Cuda1131

Your driver supports CUDA 12, but the application is CUDA 11.3.1

Thx for the reply. Does this mean I should downgrade my driver to one that supports CUDA 11 to make ACEMD 3 App compatible? Python App runs properly with the current driver so this is confusing me a bit.

no you don't need to do anything. CUDA is backwards compatible.

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