Comments (4)
It's really, really slow.
I chose not to document the web monitoring setup from the start (and the example configs have everything disabled), so users would not expose any ports in a cloud without having to go looking, since any open port is a security concern.
Open to suggestions, or a pull request to the end of fah-gpu/README.md
from containers.
Are you suggesting we document this in the README?
(I also have a DS218+ and should try this...)
from containers.
In the README or a separate installation examples file, yes.
There is one drawback on this: as in comparison to modern GPUs my Synology is quite lame, it got rejected after a while and is not allowed any further work packages—maybe the processor got blacklisted, or something else I did not understand got wrong.
@beberg So, yet another reason to give it a try.
from containers.
Closing, as the device is too slow and rare to devote support to. But very very cool that it runs :)
from containers.
Related Issues (18)
- Anomolous License HOT 3
- Problem on Jetson Nano HOT 1
- Update Docker docs HOT 1
- fah-arm container HOT 2
- F@H container benchmarks HOT 1
- Question about container use case to drive more cpu cycle donations HOT 1
- update base cuda image HOT 2
- Are the dev libraries and compilers needed for fah-gpu-amd? HOT 2
- fah-gpu behind a proxy HOT 2
- Please test fah-gpu-amd container HOT 12
- README needs info for running with ROCm on AMD GPUs HOT 11
- Zombie processes are not cleaned up by the container HOT 1
- Core 0x23 stalled on current (21.11.0) image HOT 5
- Image out of date HOT 8
- Images should run as non-root user HOT 4
- Explain performance penalty of running Folding@home in container HOT 3
- Deployment and performance on Google Cloud Platform HOT 1
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