https://www.gpugrid.net/workunit.php?wuid=27339139

I just had a WU crash the GPU and it took 105 minutes of reboots to get the monitors to not be full green screens and boot to the desktop.

I then updated the driver from 522.25 to 526.47 to see if that will be better.

However all three hosts trying that WU errored out.

Bad CUDA app?

https://www.gpugrid.net/result.php?resultid=33130348

https://www.gpugrid.net/show_host_detail.php?hostid=581748

sounds like something wrong with the GPU honestly.

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A faulty WU should not cause that much of a problem with your GPU. Many of the Python WU's fail but it is somewhat inherent in the type of computing they do.

A couple of the other failures referenced occurred due to insufficient swap space or resources which is usually memory.

Upgrading to the latest driver may help but if you are still having problems I would suggest running DDU to fully remove the driver and try installing it again.

Seems that the 980Tis might run a bit on the hot side. Make sure it is cooling properly. I would suggest setting an aggressive fan curve with EVGA Precision X or similar.

I would also suggest checking for Windows 11 updates sometimes there can be weird problems caused by Windows itself.

Just do some basic health check and cleanup activities. Defrag or trim your disk. Run virus scans etc. Blow out the dust bunnies too.

Other than that it might be time to upgrade your GPU to something a bit newer. It doesn't have to be the latest but I would suggest looking for at least a GTX 1060 6GB or better if you can.

I process other CUDA WU from other projects without issue and get decent credits. Just wondering if the task software isn't heeding available resources and forging ahead destined to crash.

Yes, the plan is to update to a newer GPU but the last few years have made that improbable -- I refuse to be gouged.

I also have to make a decision to move away from nVidia or not -- their market behavior isn't my cup of tea.

If you read these forums regularly you should know that these tasks use mainly just the cpu and not much of any gpu.

And that you need to have a large amount of storage space for each task to properly crunch and finish correctly.

I would look for weaknesses in the rest of your system ignoring any gpu first.

I also have to make a decision to move away from nVidia or not -- their market behavior isn't my cup of tea.

just be aware that if you decide to move to AMD (or even Intel), you wont be able to contribute to this project anymore. GPUGRID only has CUDA apps, and only Nvidia can process CUDA.

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