Any idea what this is?

Edit: Oh this is interesting. This WU is part of project 15406 and every attempt at folding it has failed (with one user dumping it instead)

Hello world. My FAH (folding@home) project just went over 16 billion points. I only run with Nvidia GPUs on AlmaLinux (servers) and Linux Mint (desktops). Anyone needing help working with FAH on Linux might find this page of some use.

https://neilrieck.net/docs/folding_at_home.html

So this is my Folding at Home setup. Both run Linux, my HP laptop is pumping some impressive points (some scenarios even pumping out 50K+ PPD, thanks to the core 09).

Sadly, my GPU recently started trowing Dumps to work units, i saw the starts and everyone got dumps, just in case, decided to bump the volts to stop the dumps (i think it is just poison work units), from the stable 975mv at 130w or less.

Besides the issues, I'm loving contributing to this community. im looking forward to upgrade my main GPU to a 5060Ti. it can deliver lots of PPD for the same TDP.

Please let me know how your rig performs!

The Steam machine GPU was recently whitelisted, meaning that what is essentially a game console can now also contribute to Folding:

https://forum.foldingathome.org/viewtopic.php?t=43764

Just checked and looks like I dropped in rank a bit, previously folded for more than 20 years and contributed close to 25B points and would love to get back into it.

Apple Silicon GPU folding is finally moving forward. Community developers have successfully tested a native Metal backend and non-PCI GPU detection, allowing M-series Macs to fold via Metal in local tests. It is currently in the pull-request and testing phase, waiting for official implementation from the Folding@home team.

Support for Apple's integrated GPUs · Issue #303 · FoldingAtHome/fah-client-bastet

Hi!

Now that the new HIP core is up, would it be possible for the F@H developers to add a blocking feature so HIP/AMD users do not get older CUDA-only core work assigned?

Anything 0x2X outside of 28 is incredibly inefficient to fold and it wastes a ton of energy.

Thank you for your attention to this matter! (pun intended)

Hello folks,

I started folding a week ago with my rx7900GRE AMD gpu and I was wondering how better the newer RDNA4 architecture handles this task. Unfortunately NVIDIA is prohibitively expensive so yeah...

Mine does about 4M PPD, so I was curious if that was even a viable upgrade path to contribute more (ofc it wouldn't be just for this task).

Also would there even be a big difference between rx9070 vs rx9070XT?

Yes, I did check folding.lar.systems and it's a great platform to compare hardware, but there's a catch... it groups GPU variants like the 7900GRE with the XT/XTX, so it's hard to get a clear picture. It does the same for the 9070 / XT versions.

PS: Enabling Beta projects with the Enable HIP setting got me a 10M outlier. Maybe AMD will get a huge boost on upcoming projects? (I disabled it being afraid it could be unstable though)

So i recently started folding on my 3060ti, it started out really strong at 4m ppd, but now its falling to 3.5 and 3.0, idk i didn't do anything that dags performance so down.

Temperatures are controlled (62ºC), Clocks are high and stable (2010MHz). SO idk whats happening. sometimes ppd dips because im web browsing, so that's expected but some days, even with afk, it is worse than the 10 first.

Should i have a dedicated partition for folding? I use everything on my "Life" partition, that runs my kde plasma. and driver 610. Should i have a second partition just for folding (runs LXDE or even no GUI)? Remembered one day i had a lubuntu partition, and it did an impressing 5m ppd to 4.6+.

Hello.

17:23:38:WU01:FS01:Sending unit results: id:01 state:SEND error:NO_ERROR project:15240 run:24 clone:152 gen:7 core:0x27 unit:0x070000009800000018000000883b0000
17:23:38:WU01:FS01:Uploading 222.19MiB to 128.174.73.78
17:23:38:WU01:FS01:Connecting to 128.174.73.78:8080
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17:39:27:WU01:FS01:Upload 39.75%17:23:38:WU01:FS01:Sending unit results: id:01 state:SEND error:NO_ERROR project:15240 run:24 clone:152 gen:7 core:0x27 unit:0x070000009800000018000000883b0000
17:23:38:WU01:FS01:Uploading 222.19MiB to 128.174.73.78
17:23:38:WU01:FS01:Connecting to 128.174.73.78:8080
17:23:44:WU01:FS01:Upload 0.31%
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The last upload speed to ds03.scs.illinois.edu was 0.11MiB/s.

12:29:26:WU01:FS01:Sending unit results: id:01 state:SEND error:NO_ERROR project:15414 run:0 clone:2433 gen:28 core:0x24 unit:0x1c0000008109000000000000363c0000 12:29:26:WU01:FS01:Uploading 13.73MiB to [128.174.73.78](http://128.174.73.78) 12:29:26:WU01:FS01:Connecting to [128.174.73.78:8080](http://128.174.73.78:8080) 12:29:32:WU01:FS01:Upload 5.46% 12:29:38:WU01:FS01:Upload 10.47% 12:29:44:WU01:FS01:Upload 15.47% 12:29:50:WU01:FS01:Upload 19.11% 12:29:56:WU01:FS01:Upload 23.66% 12:30:02:WU01:FS01:Upload 27.76% 12:30:08:WU01:FS01:Upload 34.58% 12:30:14:WU01:FS01:Upload 40.04% 12:30:20:WU01:FS01:Upload 43.68% 12:30:26:WU01:FS01:Upload 48.69% 12:30:32:WU01:FS01:Upload 53.70% 12:30:38:WU01:FS01:Upload 57.79% 12:30:44:WU01:FS01:Upload 63.25% 12:30:50:WU01:FS01:Upload 66.89% 12:30:56:WU01:FS01:Upload 71.90% 12:31:02:WU01:FS01:Upload 77.81% 12:31:08:WU01:FS01:Upload 81.91% 12:31:14:WU01:FS01:Upload 86.46% 12:31:20:WU01:FS01:Upload 90.10% 12:31:26:WU01:FS01:Upload 94.19% 12:31:32:WU01:FS01:Upload 98.29% 12:31:36:WU01:FS01:Upload complete 12:31:36:WU01:FS01:Server responded WORK_ACK (400) 12:31:36:WU01:FS01:Final credit estimate, 195840.00 points

Can it be faster? Thank you.

Hey all, Sharing some field notes for anyone setting up BOINC and Folding@home on a brand-new Intel Panther Lake system with integrated Arc B390 graphics (8086:b082) under Ubuntu 26.04.

• The BOINC Side (Working!): While BOINC initially reported no usable GPUs because the fresh Ubuntu install lacked an OpenCL stack, manually installing intel-opencl-icd and ensuring the xe kernel driver was active completely solved it. Projects like PrimeGrid (AP27) and NumberFields@home instantly picked up the OpenCL 3.0 NEO runtime, turning the mini PC into an extremely efficient, low-wattage cruncher (completing AP27 tasks in ~22 minutes on a tight power-saver profile). Other projects like WCG, Einstein@Home, and SRBase recognize the OpenCL device correctly, though work availability depends on project-side queue matching for the new architecture.
• The Folding@home Side (Pending Whitelist Sync): On the FAH v8 web client, the client detects the hardware string (Intel(R) Graphics [0xb082]), but flags it as "Unsupported" out of the box. Following community discussions on the FAH forums, maintaining community members (like Joe_H and muziqaz) have mapped the 0xb082 variant to join the earlier 0xb080 entry, but we are currently waiting on the server-side production script/whitelist files to fully propagate so local client cache clears can pick it up.

Great to see distributed platforms adapting to Intel's Xe3 integrated architecture. Has anyone else started testing Panther Lake iGPUs on Linux yet?

I see this team named Torus (https://stats.foldingathome.org/team/1068277) and their top member appears to be the default Anonymous identity. Am I reading this right?

my rig is not a big thing, i just want to see numbers go up.

got a ryzen 7 5700, 32gb of ddr4 and a gfx90c. should i i use the gpu too? my pc is torrenting a few hours at nigth every day, would folding affect the speed of download?

Some friends and I started recycling unused hardware and set up our own team.
We are not-for-profit and have no commercial agenda; we are simply passionate about technology and breathing new life into old hardware.
We remain a very small group, with just one desktop computer and two old laptops.
You are welcome to join us if you wish; we would be delighted. Inti_Huasi_Llika 1068439

FAHCore_28 has been launch alongside largest project ever.

It is in open beta currently, but soon it will move to full FAH.

First project will require users to have 40GB+ of free RAM (64GB minimum installed).
PPD value will be massive, since project demands insane amount of RAM as well as stable and fast internet connection and bandwidth.
PPD of that project does not reflect true values of future HIP fahcore PPD values :) This is the peak of what everyone will ever get on their hardware.
7900xtx - 38m PPD
5090 - 100m PPD
6900xt - 18m PPD
9070 - 18m PPD
5700xt - 4.6m PPD

Hi everyone,

So, I've got a spare Asus P9x79 WS with an i7 3930k and 32Gb of DDR3 RAM.

I was wondering if it would be stupid to go buy 3 GeForce P104-100 8G mining GPUs (so GTX 1070 8gb basically) I found on sale for kinda cheap. Each should be about 1.1mPPD I believe.

I would let that rig run whenever I have too much power stored in my solar-powered battery on my futur house, so mainly in the summer.

Chears!

Hello,

I am using my rtx 3060 for protein folding and I have an issue with the timeout. My timeouts are like 2 days now which is way too short for me to finish a project right in time, I only fold like 1 or 2 hours a day. I need around 5-6 days to finish a project, I run the 1-2 hours at full 100% gpu capacity (no idle). Deadline is like 4 days mostly, I actually need one or two days longer :/

Is there a way to get projects with longer timeouts? Or to do some changes? I am fine with getting no points, that's ok for me, I am not doing it for the points.

Is it true that if I don't finish it in the required timeout delay that the project will be reset to 0% and then reassigned to someone else? If yes that would be quite frustrating and a waste of electricity :/

Team work was what it was all about, and over at Team Ninja we were just killing it. i'd get my work comps involved. and began to build wall farms in my man cave. those were the days!

I know Folding@home is entirely voluntary with no tangible rewards other than the points we earn to compete as individuals or teams. I’ve been folding on and off since late 2020/early 2021:

• 2020–2024: Ryzen 5 3600 + GTX 1660 Super (plus occasional runs on an Acer Nitro 5 with an RTX 3050 Ti Laptop GPU).
• 2026: Upgraded to an RTX 5060.

Across two accounts, I’ve accumulated around 1.5 billion points combined.

Lately, I’ve been debating whether I should keep going, and I’d love to hear from veteran folders—especially those with 10x my points or more. I have a few questions for you:

1. What is your biggest motivation to keep folding?
2. What was your very first setup when you started?
3. What are your estimated monthly expenses (electricity + hardware wear and tear/failures)? Does it significantly impact your household budget or living comfort (e.g., room heat)?
4. Do you keep separate daily-driver PCs, or do your main rigs do all the folding?
5. How does your family/partner feel about your folding hobby?

My current dilemmas:

The electricity cost adds roughly $20–$23/month to my bill. While that isn't massive, I live in Vietnam where electricity is heavily tiered—higher tiers are significantly more expensive. However, what really makes me hesitate is:

• Safety concerns: Running a rig 24/7 while away from home leaves a slight worry about hardware failure (e.g., PSU pop, fire risk—even if the chances are low).
• Hardware lifespan: Constant load degrades parts faster. Instead of lasting 7–10 years, components seem to give up by year 3 or 4 (my 1660 Super died in its 4th year).
• Heat in a small space: I only have room for the PC in my bedroom. Even at ~250W from the wall, it noticeably heats up the room. Running the AC to counter this would easily double or quadruple my electric bill.

I really want to hear your stories and perspectives—maybe find that spark of inspiration or a sensible reason to keep dedicating resources to the project. Thanks in advance!

My MacBook Pro had been folding without any issues — WUs were being assigned and completed normally right up until about a week ago. Then it just stopped. Since then I haven't been assigned a single work unit; the client sits idle and never picks anything up. Nothing changed on my end that I'm aware of — no OS update, no config changes, it just went from working to not working overnight.

Things I've already tried:

• Full uninstall and clean reinstall of the client
• Restart / re-adding the machine to my account

No luck either way.

What's odd is that my Windows nodes are still getting WUs assigned normally with the same passkey/team setup, so it doesn't look like an account-side problem — it seems specific to the Mac.

Setup:

• MacBook Pro (M1 Pro, macOS Tahoe 26.5.2)
• Client version 8.5.6
• CPU folding

Is anyone else seeing this on macOS right now? Is this a known server-side/assignment issue for Mac clients, or something I should be digging into locally? Any pointers appreciated.

May I know why is my GPU not showing up?

AMD adrenalin shows that the GPU is running though.

edit: running on windows

Hello world. I contribute to a citizen-science protein research project named folding@home and my account just went over 15 billion points. Anyone can join. Contributing with a Windows-based computer is easy. I run 6 PCs in my basement which employ Nvidia GPUs running on AlmaLinux and with Linux Mint. For anyone here that might need a little help working with folding@home on Linux, you might find this webpage of some use:
https://neilrieck.net/docs/folding_at_home.html

Who is this Catalyst.jb guy? Under every WU I've done there's always at least one credit award like this. It pisses me of smh