Folding Forum

The machine name is outlined in red when it is not considered a valid name.
I think it can only be letters, numbers, dash, underscore.

Please try the following to relink to your account. Adjust commands as needed if you don't use pip install --user or have PATH set appropriately. pip3 install lufah --user Assuming local client, use "$(python3 -m site --user-base)/bin"/lufah . unlink-account Open Web Control Account page. ...

What version of macOS?
What web browser?
Are you comfortable with the command line and have python3 installed?

Don’t know what causes this.
I would try
- restart client
- logout of account, then login again
- unlink machine from account, then re-add to account

To delay client launch on linux, I think you can modify fah-client.service to begin Completely untested by me.

When you install on linux, you should see the linux commands.

Correct. Unless you use resource groups.
See guide section Advanced:
https://foldingathome.org/v8-3-client-guide/

If you click the pause button, you get a dialog box to finish and pause or pause now.

Because Joseph hasn’t had time yet to create build servers for it.

Did Marcos’ build from source instructions not work for you?

This is a known bug with DNS failure which is being worked on. DNS lookup always fails if network was not up when client launched #223 You need to restart the client from the terminal. Try notifyutil -p org.foldingathome.fahclient.nobody.stop notifyutil -p org.foldingathome.fahclient.nobody.start If...

You can control slots individually via FAHControl

With bonus points, the difference in PPD can be significant.

I’m not running v7 anymore, and projects vary wildly. But I believe I’m getting +25% PPD vs intel cores under Rosetta.

Still no GPU folding on macOS. OpenMM now has a Metal3 plugin, but I don't think anyone has tried to build a mac fahcore, let alone tested it. The client would need code to look for and whitelist Metal gpus. There might also be different args to pass to such a core. Don't hold your breath. It may ne...

V8 is faster on Apple Silicon, because the client and cores are compiled native.

Secure remote monitoring and control from anywhere Synchronization of user/team/passkey/cause among your clients Use of https to the servers Detects large cpu counts on Windows Uses systemd on Linux Native client and cores on Apple silicon Cores are probably all the same as for v7, so no compute adv...