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Cannot receive workloads on GeForce GT 1030

Posted: Fri May 29, 2026 5:59 am
by flakefrost
Hey guys,

I’m experiencing issues with setting up my work station for Folding@home.

Here’s the story…

Over the last two to three days, I have had a drought of work units being available for my devices (Or so it seems). I was able to reboot my Raspberry Pi 5, and 13th Gen Intel NUC, and they are both now working okay, for the time being. My issue is that I have recently refurbished a work station containing an Intel i3 6100 and a new GeForce GT 1030. I have verified the compatibility list, and from what I can gather, my hardware is supported. However, my work station seemingly struggles to find work units, despite my efforts.

I have put a bit of time into getting this computer running, and as one can understand, I would love to put it to good use, by crunching F@h WUs.

Is anyone able to shed light into what might be happening, or point me in the right direction, to get up and running?

Your help is greatly appreciated, thank you.

Here’s my log:

Code: Select all

04:38:19:I1: Version: 8.5.5
04:38:19:I1: Author: Joseph Coffland <joseph@cauldrondevelopment.com>
04:38:19:I1: Org: foldingathome.org
04:38:19:I1: Copyright: 2023-2025, foldingathome.org
04:38:19:I1: Homepage: https://foldingathome.org/
04:38:19:I1: License: GPL-3.0-or-later
04:38:19:I1: URL: https://v8-5.foldingathome.org/
04:38:19:I1: Date: Dec 1 2025
04:38:19:I1: Time: 13:40:46
04:38:19:I1: Revision: 2c6fbaa45e4ee4854195a9f0d4b86300975b6543
04:38:19:I1: Branch: master
04:38:19:I1: Compiler: Visual C++
04:38:19:I1: Options: $( /TP $) /std:c++17 /nologo /EHa /wd4297 /wd4103 /O2
04:38:19:I1: /Zc:throwingNew /MT
04:38:19:I1: Platform: win32 10
04:38:19:I1: Bits: 64
04:38:19:I1: Mode: Release
04:38:19:I1: Args: --open-web-control
04:38:19:I1:****************************** CBang ******************************
04:38:19:I1: Version: 1.7.2
04:38:19:I1: Author: Joseph Coffland <joseph@cauldrondevelopment.com>
04:38:19:I1: Org: Cauldron Development
04:38:19:I1: Copyright: Cauldron Development, 2003-2025
04:38:19:I1: Homepage: https://cauldrondevelopment.com/
04:38:19:I1: License: LGPL-2.1-or-later
04:38:19:I1: Date: Dec 3 2025
04:38:19:I1: Time: 11:44:07
04:38:19:I1: Revision: 83a4be55c1b21d5383650f51a7887fd9c25b836c
04:38:19:I1: Branch: master
04:38:19:I1: Compiler: Visual C++
04:38:19:I1: Options: $( /TP $) /std:c++17 /nologo /EHa /wd4297 /wd4103 /O2
04:38:19:I1: /Zc:throwingNew /MT
04:38:19:I1: Platform: win32 10
04:38:19:I1: Bits: 64
04:38:19:I1: Mode: Release
04:38:19:I1:***************************** System ******************************
04:38:19:I1: CPU: Intel(R) Core(TM) i3-6100 CPU @ 3.70GHz
04:38:19:I1: CPU ID: GenuineIntel Family 6 Model 94 Stepping 3
04:38:19:I1: CPUs: 2
04:38:19:I1: Memory: 7.95GiB
04:38:19:I1:Free Memory: 4.66GiB
04:38:19:I1: OS Version: 6.2
04:38:19:I1:Has Battery: false
04:38:19:I1: On Battery: false
04:38:19:I1: Hostname: aryx
04:38:19:I1: UTC Offset: 9
04:38:19:I1: PID: 5848
04:38:19:I1: CWD: C:\ProgramData\FAHClient
04:38:19:I1: Exec: C:\Program Files\FAHClient\FAHClient.exe
04:38:19:I1:*******************************************************************
04:38:19:I2:<config/>
04:38:19:I1:Opening Database
04:38:20:I1:F@H ID = zDV2bc4eNLfTMT8wSExFT2za9zIS5_WIFZDubxI9Wkc
04:38:20:I3:Loading default resource group
04:38:20:I2:Listening for HTTP on 127.0.0.1:7396
04:38:20:I3:WU27:Loading work unit 27 with ID grueIk4cLmPDCi-up96mfFkFFzhydbTRNvtHOzKBxYc
04:38:20:I3:Loaded 1 wus.
04:38:20:I2:Loading gpus.json
04:38:20:I1:Started Windows systray control
04:38:20:I3:gpus = {
04:38:20:I3: "gpu:01:00:00": {
04:38:20:I3: "vendor": 4318,
04:38:20:I3: "type": "nvidia",
04:38:20:I3: "description": "NVIDIA GeForce GT 1030",
04:38:20:I3: "uuid": "116ee63f-9cbb-e12c-e38c-914486e3aad4",
04:38:20:I3: "opencl": {"platform": 0, "device": 0, "compute": "3.0", "driver": "582.53"},
04:38:20:I3: "cuda": {"platform": 0, "device": 0, "compute": "6.1", "driver": "13.0"},
04:38:20:I3: "device": 7425,
04:38:20:I3: "supported": true
04:38:20:I3: }
04:38:20:I3:}
04:38:20:I1:Default:Added new work unit: cpus:1 gpus:
04:38:20:I1:Loaded cores/openmm-core-27/windows-10-64bit/release/fahcore-27-windows-10-64bit-release-8.2.1/FahCore_27.exe

Code: Select all

04:38:21:E :OUT2:HTTP_SERVICE_UNAVAILABLE: {"error":"No appropriate assignment"}
04:38:25:E :OUT5:HTTP_SERVICE_UNAVAILABLE: {"error":"No appropriate assignment"}
04:38:30:E :OUT6:HTTP_SERVICE_UNAVAILABLE: {"error":"No appropriate assignment"}
04:38:45:E :OUT7:HTTP_SERVICE_UNAVAILABLE: {"error":"No appropriate assignment"}
04:39:02:E :OUT8:HTTP_SERVICE_UNAVAILABLE: {"error":"No appropriate assignment"}
04:39:35:E :OUT9:HTTP_SERVICE_UNAVAILABLE: {"error":"No appropriate assignment"}
04:40:40:E :OUT10:HTTP_SERVICE_UNAVAILABLE: {"error":"No appropriate assignment"}
04:42:49:E :OUT11:HTTP_SERVICE_UNAVAILABLE: {"error":"No appropriate assignment"}
04:47:06:E :OUT12:HTTP_SERVICE_UNAVAILABLE: {"error":"No appropriate assignment"}
04:55:39:E :OUT13:HTTP_SERVICE_UNAVAILABLE: {"error":"No appropriate assignment"}
05:04:12:E :OUT14:HTTP_SERVICE_UNAVAILABLE: {"error":"No appropriate assignment"}
05:12:45:E :OUT15:HTTP_SERVICE_UNAVAILABLE: {"error":"No appropriate assignment"}
05:21:18:E :OUT16:HTTP_SERVICE_UNAVAILABLE: {"error":"No appropriate assignment"}
05:29:51:E :OUT17:HTTP_SERVICE_UNAVAILABLE: {"error":"No appropriate assignment"}
05:38:24:E :OUT18:HTTP_SERVICE_UNAVAILABLE: {"error":"No appropriate assignment"}
05:46:57:E :OUT19:HTTP_SERVICE_UNAVAILABLE: {"error":"No appropriate assignment"}
05:55:30:E :OUT20:HTTP_SERVICE_UNAVAILABLE: {"error":"No appropriate assignment"}

Re: Cannot receive workloads on GeForce GT 1030

Posted: Fri May 29, 2026 6:28 am
by muziqaz
It is not unusual to not get any work for ultra low end GPUs. They are too slow for majority of projects

Re: Cannot receive workloads on GeForce GT 1030

Posted: Fri May 29, 2026 6:33 am
by Joe_H
Your system is pretty much at the minimum for doing F@h at this point. You have a 2-core i3-6100, for CPU WUs most projects will require 2 CPU threads. However the GPU is using one of the available threads. The GT 1030, hopefully a Pascal based card instead of the card sold based on the Kepler chip, has been at about the bare minimum processing power for some time. There may not be many projects with WUs small enough to be assigned to it.

Setting the CPU thread count to zero may help as then your system will stop trying to get CPU WUs that are not available for a thread count of 1. The log does show that your system did get a GPU WU to be processed on the 1030, you may have to check that it will complete within the deadline.