Tulip

Hi. i kind of have the same problem, BUT my twist on the issue its "cache" ssd, so no parity.. whoops. any chance to keep the data? (i know witch ssd go where, but.... hmm

How many plots a day do you guys do? I just started today and it looks like i do about 1.2 plot every hour. Good or bad? 👀

Looks ok to me

Lets say i have set up plotting cue, like 10 plotts or whatever. How does it work when i restart the docker or unraid? can i easy resume from where i left? Same command? hmm

whooops

Not passed through.

Its rx 580 8GB Unraid have 128GB I think, one transcode. switched from one movie to another. but was testing 4-5 earlier that evening while check cpu usage on unraid. So cant be 100% sure.

Some info here

It was a gpu call trace in the syslog. And Container still up, but did not do any transcode or play movie. The first 2-3 movie worked like a champ, but think it Fu**ed up when i tested a 4k movie file Had to reboot unraid. Reboot for gui or ssh did not work, had to force reboot the rig.

I was working nice, but got gpu crash after some testing had to force reboot unraid lol

I believe this might be a bug? 65535MHz

i just did get kernel panic. Not at boot, but when booted

My wireguard is working fine. Just tested

woke up to another crash. Crashed in the morning two last days Dono why tower-diagnostics-20201215-1236.zip

Here you have tower-diagnostics-20201019-1135.zip

<?xml version="1.0"?> <Container version="2"> <Name>foldingathome</Name> <Repository>linuxserver/foldingathome</Repository> <Registry>https://hub.docker.com/r/linuxserver/foldingathome/</Registry> <Network>br0</Network> <MyIP>192.168.1.187</MyIP> <Shell>bash</Shell> <Privileged>false</Privileged> <Support>https://forums.unraid.net/topic/89990-support-linuxserverio-foldinghome/</Support> <Project>https://foldingathome.org/</Project> <Overview>Folding@home is a distributed computing project for simulating protein dynamics, including the process of protein folding and the movements of proteins implicated in a variety of diseases. It brings together citizen scientists who volunteer to run simulations of protein dynamics on their personal computers. Insights from this data are helping scientists to better understand biology, and providing new opportunities for developing therapeutics.[br][br]&#xD; &#xD; The built-in webserver provides very basic control (ie. GPUs are only active when set to Medium or higher). For more fine grained control of individual devices, you can use the FAHControl app on a different device and connect remotely via port 36330 (no password).[br][br]&#xD; &#xD; [b][u][span style='color: #E80000;']Nvidia GPU Use[/span][/u][/b][br]Using the Unraid Nvidia Plugin to install a version of Unraid with the Nvidia Drivers installed and[br] add [b]--runtime=nvidia[/b] to [b]"extra parameters"[/b] (switch on advanced view) and[br]copy your [b]GPU UUID[/b] to [b]NVIDIA_VISIBLE_DEVICES.[/b]</Overview> <Category>Tools: Status:Stable</Category> <WebUI>http://[IP]:[PORT:7396]</WebUI> <TemplateURL>https://raw.githubusercontent.com/linuxserver/docker-templates/master/linuxserver.io/foldingathome.xml</TemplateURL> <Icon>https://raw.githubusercontent.com/linuxserver/docker-templates/master/linuxserver.io/img/foldingathome-logo.png</Icon> <ExtraParams/> <PostArgs/> <CPUset/> <DateInstalled>1600032596</DateInstalled> <DonateText>Donations</DonateText> <DonateLink>https://www.linuxserver.io/donations/</DonateLink> <Description>Folding@home is a distributed computing project for simulating protein dynamics, including the process of protein folding and the movements of proteins implicated in a variety of diseases. It brings together citizen scientists who volunteer to run simulations of protein dynamics on their personal computers. Insights from this data are helping scientists to better understand biology, and providing new opportunities for developing therapeutics.[br][br]&#xD; &#xD; The built-in webserver provides very basic control (ie. GPUs are only active when set to Medium or higher). For more fine grained control of individual devices, you can use the FAHControl app on a different device and connect remotely via port 36330 (no password).[br][br]&#xD; &#xD; [b][u][span style='color: #E80000;']Nvidia GPU Use[/span][/u][/b][br]Using the Unraid Nvidia Plugin to install a version of Unraid with the Nvidia Drivers installed and[br] add [b]--runtime=nvidia[/b] to [b]"extra parameters"[/b] (switch on advanced view) and[br]copy your [b]GPU UUID[/b] to [b]NVIDIA_VISIBLE_DEVICES.[/b]</Description> <Networking> <Mode>br0</Mode> <Publish> <Port> <HostPort>7396</HostPort> <ContainerPort>7396</ContainerPort> <Protocol>tcp</Protocol> </Port> <Port> <HostPort>36330</HostPort> <ContainerPort>36330</ContainerPort> <Protocol>tcp</Protocol> </Port> </Publish> </Networking> <Data> <Volume> <HostDir>/mnt/user/appdata/foldingathome</HostDir> <ContainerDir>/config</ContainerDir> <Mode>rw</Mode> </Volume> </Data> <Environment> <Variable> <Value/> <Name>NVIDIA_VISIBLE_DEVICES</Name> <Mode/> </Variable> <Variable> <Value>99</Value> <Name>PUID</Name> <Mode/> </Variable> <Variable> <Value>100</Value> <Name>PGID</Name> <Mode/> </Variable> </Environment> <Labels/> <Config Name="GUI Port" Target="7396" Default="" Mode="tcp" Description="GUI Port - Default 7396" Type="Port" Display="always" Required="false" Mask="false">7396</Config> <Config Name="FAHControl Port" Target="36330" Default="" Mode="tcp" Description="FAHControl Port - Default 36330" Type="Port" Display="always" Required="false" Mask="false">36330</Config> <Config Name="Nvidia Visible Devices" Target="NVIDIA_VISIBLE_DEVICES" Default="" Mode="" Description="Nvidia Visible Devices (Optional - Requires Nvidia GPU and Unraid Nvidia build)" Type="Variable" Display="always" Required="false" Mask="false"/> <Config Name="PUID" Target="PUID" Default="" Mode="" Description="PUID" Type="Variable" Display="advanced" Required="false" Mask="false">99</Config> <Config Name="PGID" Target="PGID" Default="" Mode="" Description="PGID" Type="Variable" Display="advanced" Required="false" Mask="false">100</Config> <Config Name="Appdata" Target="/config" Default="" Mode="rw" Description="Appdata" Type="Path" Display="advanced" Required="false" Mask="false">/mnt/user/appdata/foldingathome</Config> </Container> The plan was to pin it to 7-8 cores. Just testing while i setup the hw for the new server.

i cant get cpu pinning on docker working. Any known beta bug?

How many you need, just bought a antec case 1200 from ebay. Dont think i need the screws. Can ship fra Norge til Danmark ;)