Work for AMD but not NVIDIA?

One of my rigs is running an AMD gpus and one is running Nvidia gpus. The AMD rig has work and is getting work as I speak, but the Nvidia one shows this in the log:


962 SETI@home 19/07/2012 09:44:52 update requested by user
963 SETI@home 19/07/2012 09:44:55 Sending scheduler request: Requested by user.
964 SETI@home 19/07/2012 09:44:55 Requesting new tasks for NVIDIA
965 SETI@home 19/07/2012 09:44:58 Scheduler request completed: got 0 new tasks
966 SETI@home 19/07/2012 09:44:58 No tasks sent
967 SETI@home 19/07/2012 09:44:58 No tasks are available for Astropulse v505
968 SETI@home 19/07/2012 09:44:58 No tasks are available for SETI@home v7
969 SETI@home 19/07/2012 09:44:58 No tasks are available for AstroPulse v6
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Just keep asking, my i7-2600K just got ~140 VLAR tasks assigned to the CPU, with only a few non VLARs (VLARs aren't sent to Nvidia GPUs at the moment)

Claggy

Biffa, your host with the 9800GT and the 197.45 drivers is below the minimum driver requirement for the Cuda32 app you're trying to run, and will continue to error out every Cuda Wu until you do something about it:

All tasks for computer 6718117

From the Installer v0.40 release notes:

NVidia GPU (CUDA) app - x41g_cuda32

For compatible cards see http://developer.nvidia.com/cuda-gpus
Requires minimum CUDA 3.2 capable NVidia driver: 263.06 (260.99 on notebooks)
Download drivers from http://www.nvidia.com/Download/Find.aspx?lang=en-us (or your national equivalent). We recommend you avoid driver versions 295.73 and 296.10, which are not supported at some other BOINC projects.
Should run on all NVidia CUDA cards with at least 512MiB video RAM.
Actual free memory required is in the region of 200-235MB, depending on driver and OS flavour.
Running on a 256MiB card is just possible, but you will have to free up as much VRAM as possible, e.g. by disabling Aero.
Used video RAM can be checked with GPU-Z downloadable from http://www.techpowerup.com/downloads/2120/TechPowerUp_GPU-Z_v0.6.0.html
Watch closely on GPU-Z and in BOINC manager if the application finds enough memory.
Symptoms of insufficient memory are
- in BOINC manager: tasks start up and run a few seconds then go to 'waiting to run' and the next task tries to start
- on GPU-Z: the sensor for memory shows used VRAM ramping up and almost immediately dropping again.
In this case, there may be a BOINC bug putting the app in an infinite loop while it waits for more memory.
If you don't have enough memory, set BOINC to NNT, abort tasks and uninstall the CUDA application by rerunning the installer with CUDA MB UNticked.
If in doubt ask for help on the SETI Number Crunching forum.
To multithread on Fermi cards, find all instances of <count>1</count> in app_info.xml and decrease to 0.5 or 0.3 to run two or three tasks in parallel.
Again, if you are uncertain of how to do this correctly, ask on the above mentioned forum. 'Your mileage may vary' - it depends on your specific system which count will give the highest throughput.
x41g has improved reliability, stability and accuracy over x38g.
x41g_cuda32 has been tested with and is safe to use on GTX 680 (Kepler) GPUs.

Hmm, thats a remote box, I'll see if I can get that sorted otherwise shut it down. Thanks for the heads up.

The one that was erroring out, I set its profile to Work and turned off Astropulse WU's on it and its now happily downloading.
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