The other thing I'm seeing is that the Ralph tasks are taking about 10gb of ram for EACH task so I had to limit my running tasks accordingly. I'm running 1 cpu core per task and they are taking over 2 days to finish. I'm still getting some errors but have not ruled out it being a pc problem as yet.

The most i've seen for a CPU processed Task in use is a bit over 1.5GB.
For GPU processed Tasks, they're using up to 2.5GB of system RAM & 6GB of VRAM.
However the peak Swap file size i've seen is as high as 15GB. .

There needs to be a way to limit the number of threads a single Task can use.
And at the moment, the indications are that 1 Task using 8 threads performs no better than when 12 Tasks were trying to use 8 threads each, when there were only 12 threads available.
I'll keep an eye on things to see if they don't slow down later, but the initial signs are that the extra threads are providing not even the slightest improvement in processing time- they're just being wasted.

Try this:

<app_config>
<project_max_concurrent>1</project_max_concurrent>
</app_config>

Already done that, but just using max_concurrent. Even so, that doesn't limit the number of threads per Task, just the number of Tasks.

The other thing I'm seeing is that the Ralph tasks are taking about 10gb of ram for EACH task so I had to limit my running tasks accordingly. I'm running 1 cpu core per task and they are taking over 2 days to finish. I'm still getting some errors but have not ruled out it being a pc problem as yet.

The most i've seen for a CPU processed Task in use is a bit over 1.5GB.
For GPU processed Tasks, they're using up to 2.5GB of system RAM & 6GB of VRAM.
However the peak Swap file size i've seen is as high as 15GB.

Most of your errors appear to be file transfer errors, nothing to do with RAM usage.

Rosettafold doesn't suspend whend told do.
When i suspended it it continued running.

Look at the Einstein GPU tasks, they use BOTH the cpu and gpu. Just like Ralph, precisely no difference.

That shows just how confused you are. The GPU processes the Task, the CPU supports the GPU by keeping it fed. The CPU doesn't actually do any processing, the GPU does that. Depending on the Task, with a very well written application, CPU support can be next to nothing.
And none of that has any relevance to the post i made & you misread & mis-quoted. Repeatedly, over and over again.