Tuxedo 17 (en Ubuntu 24) + GIGABYTE AORUS RTX 5060 Ti AI Box Carte Graphique - 16GB GDDR7.
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Nouveau drivers :
# nvidia-smi Thu Jul 16 17:27:40 2026 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 610.43.03 KMD Version: 610.43.03 CUDA UMD Version: 13.3 | +-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA GeForce RTX 3060 ... Off | 00000000:01:00.0 Off | N/A | | N/A 46C P8 11W / 115W | 1MiB / 6144MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | No running processes found | +-----------------------------------------------------------------------------------------+ # llama-bench -m /models/gemma-3-1b-it-q4_k_m.gguf ggml_cuda_init: found 1 CUDA devices (Total VRAM: 5803 MiB): Device 0: NVIDIA GeForce RTX 3060 Laptop GPU, compute capability 8.6, VMM: yes, VRAM: 5803 MiB | model | size | params | backend | ngl | test | t/s | | ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: | | gemma3 1B Q4_K - Medium | 762.49 MiB | 999.89 M | CUDA | -1 | pp512 | 11250.23 ± 436.25 | | gemma3 1B Q4_K - Medium | 762.49 MiB | 999.89 M | CUDA | -1 | tg128 | 224.89 ± 0.24 | build: c3d47e696 (10030) -
Branchement de l’egpu :
# nvidia-smi Thu Jul 16 17:29:22 2026 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 610.43.03 KMD Version: 610.43.03 CUDA UMD Version: 13.3 | +-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA GeForce RTX 3060 ... Off | 00000000:01:00.0 Off | N/A | | N/A 46C P8 11W / 115W | 1MiB / 6144MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ | 1 NVIDIA GeForce RTX 5060 Ti Off | 00000000:05:00.0 Off | N/A | | 0% 34C P0 15W / 180W | 2MiB / 16311MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | No running processes found | +-----------------------------------------------------------------------------------------+ -
# sudo nvidia-persistenced --user XXXX # nvidia-smi Thu Jul 16 17:42:28 2026 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 610.43.03 KMD Version: 610.43.03 CUDA UMD Version: 13.3 | +-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA GeForce RTX 3060 ... On | 00000000:01:00.0 Off | N/A | | N/A 42C P8 11W / 115W | 1MiB / 6144MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ | 1 NVIDIA GeForce RTX 5060 Ti On | 00000000:05:00.0 Off | N/A | | 0% 41C P8 5W / 180W | 2MiB / 16311MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | No running processes found | +-----------------------------------------------------------------------------------------+ -
A noter :
The new nvidia drivers 610.43.02 do not need patching anymore.
Also, nvida_modeset and nvidia_drm can be safely loaded. However, they still need to be loaded after the bridge link speed was set. I believe the bridge link issue needs to be fixed in the kernel.Je change donc :
/etc/modprobe.d/nvidia.conf # Blacklist display modules for compute-only #blacklist nvidia_drm #blacklist nvidia_modeset -
A noter , pas possible de modifier la clock sur l’egpu :
# nvidia-smi --query-supported-clocks=memory --format=csv memory [MHz] 7001 MHz 6001 MHz 810 MHz 405 MHz 14001 MHz 13801 MHz 7001 MHz 810 MHz 405 MHz # nvidia-smi --lock-memory-clocks=810 Unable to determine the device handle for GPU1: 0000:05:00.0: Unknown Error Memory clocks set to "(memClkMin 810, memClkMax 810)" for GPU 00000000:01:00.0 Warning: persistence mode is disabled on device 00000000:01:00.0. See the Known Issues section of the nvidia-smi(1) man page for more information. Run with [--help | -h] switch to get more information on how to enable persistence mode. All done. -
Nouveau test :
# cat /etc/modprobe.d/nvidia-power-management.conf options nvidia_drm modeset=1 options nvidia NVreg_PreserveVideoMemoryAllocations=1 NVreg_TemporaryFilePath=/var/tmp # nvidia-smi --query-supported-clocks=memory --format=csv memory [MHz] 7001 MHz 6001 MHz 810 MHz 405 MHz 14001 MHz 13801 MHz 7001 MHz 810 MHz 405 MHz # nvidia-smi --lock-memory-clocks=810 Memory clocks set to "(memClkMin 810, memClkMax 810)" for GPU 00000000:01:00.0 Warning: persistence mode is disabled on device 00000000:01:00.0. See the Known Issues section of the nvidia-smi(1) man page for more information. Run with [--help | -h] switch to get more information on how to enable persistence mode. Memory clocks set to "(memClkMin 810, memClkMax 810)" for GPU 00000000:05:00.0 Warning: persistence mode is disabled on device 00000000:05:00.0. See the Known Issues section of the nvidia-smi(1) man page for more information. Run with [--help | -h] switch to get more information on how to enable persistence mode. All done. -
Resultat :
# llama-bench -m /models/gemma-3-1b-it-q4_k_m.gguf ggml_cuda_init: found 2 CUDA devices (Total VRAM: 21692 MiB): Device 0: NVIDIA GeForce RTX 5060 Ti, compute capability 12.0, VMM: yes, VRAM: 15888 MiB Device 1: NVIDIA GeForce RTX 3060 Laptop GPU, compute capability 8.6, VMM: yes, VRAM: 5803 MiB | model | size | params | backend | ngl | test | t/s | | ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: | | gemma3 1B Q4_K - Medium | 762.49 MiB | 999.89 M | CUDA | -1 | pp512 | 2821.03 ± 23.15 | | gemma3 1B Q4_K - Medium | 762.49 MiB | 999.89 M | CUDA | -1 | tg128 | 26.17 ± 0.06 | build: c3d47e696 (10030) -
Nouveau test :
# nvidia-smi Thu Jul 16 19:16:24 2026 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 610.43.03 KMD Version: 610.43.03 CUDA UMD Version: 13.3 | +-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA GeForce RTX 3060 ... Off | 00000000:01:00.0 Off | N/A | | N/A 45C P8 11W / 115W | 1MiB / 6144MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ | 1 NVIDIA GeForce RTX 5060 Ti Off | 00000000:05:00.0 Off | N/A | | 0% 36C P8 5W / 180W | 2MiB / 16311MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | No running processes found | +-----------------------------------------------------------------------------------------+ # nvidia-persistenced --user arias # nvidia-smi --lock-memory-clocks=7001 Memory clocks set to "(memClkMin 7001, memClkMax 7001)" for GPU 00000000:01:00.0 Memory clocks set to "(memClkMin 7001, memClkMax 7001)" for GPU 00000000:05:00.0 All done. # nvidia-smi Thu Jul 16 19:17:03 2026 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 610.43.03 KMD Version: 610.43.03 CUDA UMD Version: 13.3 | +-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA GeForce RTX 3060 ... On | 00000000:01:00.0 Off | N/A | | N/A 45C P0 20W / 115W | 1MiB / 6144MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ | 1 NVIDIA GeForce RTX 5060 Ti On | 00000000:05:00.0 Off | N/A | | 0% 37C P3 8W / 180W | 2MiB / 16311MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | No running processes found | +-----------------------------------------------------------------------------------------+ # llama-bench -m /models/gemma-3-1b-it-q4_k_m.gguf ggml_cuda_init: found 2 CUDA devices (Total VRAM: 21692 MiB): Device 0: NVIDIA GeForce RTX 5060 Ti, compute capability 12.0, VMM: yes, VRAM: 15888 MiB Device 1: NVIDIA GeForce RTX 3060 Laptop GPU, compute capability 8.6, VMM: yes, VRAM: 5803 MiB | model | size | params | backend | ngl | test | t/s | | ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: | /home/arias/Documents/llama.cpp/ggml/src/ggml-cuda/ggml-cuda.cu:104: CUDA error [New LWP 3622] This GDB supports auto-downloading debuginfo from the following URLs: <https://debuginfod.ubuntu.com> Enable debuginfod for this session? (y or [n]) [answered N; input not from terminal] Debuginfod has been disabled. To make this setting permanent, add 'set debuginfod enabled off' to .gdbinit. [Thread debugging using libthread_db enabled] Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1". 0x00007204f7110813 in __GI___wait4 (pid=3643, stat_loc=0x0, options=0, usage=0x0) at ../sysdeps/unix/sysv/linux/wait4.c:30 warning: 30 ../sysdeps/unix/sysv/linux/wait4.c: Aucun fichier ou dossier de ce nom #0 0x00007204f7110813 in __GI___wait4 (pid=3643, stat_loc=0x0, options=0, usage=0x0) at ../sysdeps/unix/sysv/linux/wait4.c:30 30 in ../sysdeps/unix/sysv/linux/wait4.c #1 0x00007204f734e683 in ggml_print_backtrace () from /usr/local/lib/libggml-base.so.0 #2 0x00007204f734e82b in ggml_abort () from /usr/local/lib/libggml-base.so.0 #3 0x00007204ea85c167 in ggml_cuda_error(char const*, char const*, char const*, int, char const*) () from /usr/local/lib/libggml-cuda.so.0 #4 0x00007204ea85c637 in ggml_cuda_set_device(int) () from /usr/local/lib/libggml-cuda.so.0 #5 0x00007204ea85cc3e in ggml_backend_cuda_device_get_memory(ggml_backend_device*, unsigned long*, unsigned long*) () from /usr/local/lib/libggml-cuda.so.0 #6 0x00007204ea85d021 in ggml_backend_cuda_device_get_props(ggml_backend_device*, ggml_backend_dev_props*) () from /usr/local/lib/libggml-cuda.so.0 #7 0x00007204f66cc987 in llama_model_load(gguf_context*, void (*)(ggml_tensor*, void*), void*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >&, _IO_FILE*, llama_model_params&) () from /usr/local/lib/libllama.so.0 #8 0x00007204f66cd442 in llama_model_load_from_file_impl(gguf_context*, void (*)(ggml_tensor*, void*), void*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >&, _IO_FILE*, llama_model_params) () from /usr/local/lib/libllama.so.0 #9 0x00007204f66cd7dc in llama_model_load_from_file () from /usr/local/lib/libllama.so.0 #10 0x00007204f775d05c in llama_bench(int, char**) () from /usr/local/lib/libllama-bench-impl.so #11 0x00007204f702a1ca in __libc_start_call_main (main=main@entry=0x60ae578dc270 <main>, argc=argc@entry=3, argv=argv@entry=0x7fff6fa6d5b8) at ../sysdeps/nptl/libc_start_call_main.h:58 warning: 58 ../sysdeps/nptl/libc_start_call_main.h: Aucun fichier ou dossier de ce nom #12 0x00007204f702a28b in __libc_start_main_impl (main=0x60ae578dc270 <main>, argc=3, argv=0x7fff6fa6d5b8, init=<optimized out>, fini=<optimized out>, rtld_fini=<optimized out>, stack_end=0x7fff6fa6d5a8) at ../csu/libc-start.c:360 warning: 360 ../csu/libc-start.c: Aucun fichier ou dossier de ce nom #13 0x000060ae578dc2a5 in _start () [Inferior 1 (process 3621) detached] Abandon -
L’erreur est :
# dmesg | tail [ 265.468745] nvidia-modeset: ERROR: GPU:1: Error while waiting for GPU progress: 0x0000ca7d:0 2:0:4048:4040 [ 270.468755] nvidia-modeset: ERROR: GPU:1: Error while waiting for GPU progress: 0x0000ca7d:0 2:0:4048:4040 [ 275.468765] nvidia-modeset: ERROR: GPU:1: Error while waiting for GPU progress: 0x0000ca7d:0 2:0:4048:4040 -
Test de https://github.com/ewagner12/all-ways-egpu :
# cd ~; curl -qLs https://github.com/ewagner12/all-ways-egpu/releases/latest/download/all-ways-egpu.zip -o all-ways-egpu.zip; unzip all-ways-egpu.zip; cd all-ways-egpu-main; chmod +x install.sh; sudo ./install.sh; cd ../; rm -rf all-ways-egpu.zip all-ways-egpu-main Archive: all-ways-egpu.zip 223a1b2349a702ca2dc5f1afbe02aa8c21823b12 creating: all-ways-egpu-main/ inflating: all-ways-egpu-main/LICENSE creating: all-ways-egpu-main/OpenRC/ inflating: all-ways-egpu-main/OpenRC/all-ways-egpu-boot-vga-openrc inflating: all-ways-egpu-main/OpenRC/all-ways-egpu-openrc inflating: all-ways-egpu-main/OpenRC/all-ways-egpu-set-compositor-openrc inflating: all-ways-egpu-main/README.md inflating: all-ways-egpu-main/all-ways-egpu inflating: all-ways-egpu-main/all-ways-egpu-entry.sh inflating: all-ways-egpu-main/all-ways-egpu-reenable.desktop inflating: all-ways-egpu-main/all-ways-egpu.desktop inflating: all-ways-egpu-main/install.sh creating: all-ways-egpu-main/systemd/ inflating: all-ways-egpu-main/systemd/all-ways-egpu-boot-vga.service inflating: all-ways-egpu-main/systemd/all-ways-egpu-igpu.service inflating: all-ways-egpu-main/systemd/all-ways-egpu-set-compositor.service inflating: all-ways-egpu-main/systemd/all-ways-egpu-shutdown.service inflating: all-ways-egpu-main/systemd/all-ways-egpu-user.service inflating: all-ways-egpu-main/systemd/all-ways-egpu.service Installing to system in directory /usr/bin -
Log complet :
# dmesg | grep NVRM [ 3.712324] NVRM: loading NVIDIA UNIX Open Kernel Module for x86_64 610.43.03 Release Build (dvs-builder@U22-I3-AD05-33-5) Tue Jun 30 23:47:20 UTC 2026 [ 5.869931] NVRM: GPU0 nvAssertOkFailedNoLog: Assertion failed: Invalid data passed [NV_ERR_INVALID_DATA] (0x00000025) returned from PlatformRequestHandler failed to get target temp from SBIOS @ platform_request_handler_ctrl.c:2174 [ 5.869938] NVRM: GPU0 nvAssertOkFailedNoLog: Assertion failed: Invalid data passed [NV_ERR_INVALID_DATA] (0x00000025) returned from PlatformRequestHandler failed to get platform power mode from SBIOS @ platform_request_handler_ctrl.c:2117 [ 80.369416] NVRM: GPU1 objClInitPcieChipset: *** Unable to get PCI port handles [ 171.397600] NVRM: GPU at PCI:0000:05:00: GPU-5d8d2eb1-648d-e52f-369a-26f078362f02 [ 171.397604] NVRM: GPU Board Serial Number: 0 [ 171.397604] NVRM: Xid (PCI:0000:05:00): 79, GPU has fallen off the bus. [ 171.397610] NVRM: GPU 0000:05:00.0: GPU has fallen off the bus. [ 171.397611] NVRM: GPU 0000:05:00.0: GPU serial number is 0. [ 171.397615] NVRM: krcRcAndNotifyAllChannels_IMPL: RC all channels for critical error 79. [ 171.397622] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 171.397628] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 171.397632] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 171.397635] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 171.397640] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 171.397645] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 171.397648] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 171.397651] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 171.447520] NVRM: prbEncStartAlloc: Can't allocate memory for protocol buffers. [ 171.447521] NVRM: A GPU crash dump has been created. If possible, please run NVRM: nvidia-bug-report.sh as root to collect this data before NVRM: the NVIDIA kernel module is unloaded. [ 171.497446] NVRM: nvGpuOpsReportFatalError: uvm encountered global fatal error 0x60, requiring os reboot to recover. -
Test :
sudo nvidia-smi -pm ENABLED;
sudo nvidia-smi -lgc 1000,2000;[ 586.874754] [drm] Initialized nvidia-drm 0.0.0 for 0000:05:00.0 on minor 0 [ 586.875976] nvidia 0000:05:00.0: [drm] Cannot find any crtc or sizes [ 586.875994] pci 0000:05:00.1: extending delay after power-on from D3hot to 20 msec [ 586.876033] pci 0000:05:00.1: D0 power state depends on 0000:05:00.0 [ 586.876184] snd_hda_intel 0000:05:00.1: enabling device (0000 -> 0002) [ 586.876324] snd_hda_intel 0000:05:00.1: Disabling MSI [ 586.876335] snd_hda_intel 0000:05:00.1: Handle vga_switcheroo audio client [ 586.876368] snd_hda_intel 0000:05:00.1: number of I/O streams is 30, forcing separate stream tags [ 586.977742] hdaudio hdaudioC2D0: no AFG or MFG node found [ 586.977758] hdaudio hdaudioC2D1: no AFG or MFG node found [ 586.977769] hdaudio hdaudioC2D2: no AFG or MFG node found [ 586.977780] hdaudio hdaudioC2D3: no AFG or MFG node found [ 586.977790] hdaudio hdaudioC2D4: no AFG or MFG node found [ 586.977800] hdaudio hdaudioC2D5: no AFG or MFG node found [ 586.977810] hdaudio hdaudioC2D6: no AFG or MFG node found [ 586.977820] hdaudio hdaudioC2D7: no AFG or MFG node found [ 586.977822] snd_hda_intel 0000:05:00.1: no codecs initialized [ 586.977847] snd_hda_intel 0000:05:00.1: GPU sound probed, but not operational: please add a quirk to driver_denylist [ 644.756905] NVRM: GPU at PCI:0000:05:00: GPU-5d8d2eb1-648d-e52f-369a-26f078362f02 [ 644.756912] NVRM: GPU Board Serial Number: 0 [ 644.756913] NVRM: Xid (PCI:0000:05:00): 79, GPU has fallen off the bus. [ 644.756920] NVRM: GPU 0000:05:00.0: GPU has fallen off the bus. [ 644.756922] NVRM: GPU 0000:05:00.0: GPU serial number is 0. [ 644.756929] NVRM: krcRcAndNotifyAllChannels_IMPL: RC all channels for critical error 79. [ 644.756948] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.756961] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.756966] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.756970] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.756973] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.756977] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.756981] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.756985] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.756988] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.756993] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.756998] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.757003] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.757011] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.757018] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.757021] pcieport 0000:04:03.0: Unable to change power state from D3hot to D0, device inaccessible [ 644.757022] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.757026] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.757028] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.757031] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.757035] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.757039] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.757043] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.757046] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.757049] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.757053] NVRM: _threadNodeCheckTimeout: API_GPU_ATTACHED_SANITY_CHECK failed! [ 644.757058] NVRM: prbEncStartAlloc: Can't allocate memory for protocol buffers. [ 644.757060] NVRM: A GPU crash dump has been created. If possible, please run NVRM: nvidia-bug-report.sh as root to collect this data before NVRM: the NVIDIA kernel module is unloaded. [ 644.757269] pcieport 0000:00:07.0: pciehp: Slot(0): Link Down -
As per Xid errors list (check PDF), the error 79 (GPU has fallen off the bus) can be related to variety of things such as driver or hardware issue, system memory corruption, bus error or thermal issue (overheating).
Run NVIDIA X Server Settings app (which comes with the drivers) and check the temperature, graphic clock, performance levels and GPU utilization levels.
The following post (based on this original thread), suggests to disable PCI-E ASPM (Active State Power Management) by changing boot params to pcie_aspm=off (it forcibly disables PCIe ASPM).
Related bug report: GPU has fallen off the bus.
Other reasons for ‘GPU has fallen off the bus’ errors
System overheating. Suggestions: Check temperature by nvidia-smi or use NVIDIA Settings GUI app. Alternatively use sensors command (install: sudo apt install lm-sensors && sudo sensors-detect) or psensor GUI app. PSU (Power Supply Unit) wattage doesn't meet requirements of your card(s). Suggestions: Check power usage by nvidia-smi command. To monitor usage in real-time, run: watch -n10 nvidia-smi. Consider reducing GPU/CPU load. Driver issues (unstable or due to bugs). Suggestions: Update nvidia drivers. The easiest way is to install latest CUDA libraries to avoid mismatch, e.g. sudo apt upgrade cuda-12-8. Check GPU errors (e.g. look for stack traces) in more details via less /var/log/kern.log. This can help narrow down the issue. Consider adjusting some drivers settings. E.g. $ cat /etc/modprobe.d/nvidia.conf options nvidia NVreg_DynamicPowerManagement=0 options nvidia NVreg_EnableGpuFirmwareLogs=2 options nvidia NVreg_EnablePCIeGen3=1 options nvidia NVreg_EnableResizableBar=1 options nvidia NVreg_EnableStreamMemOPs=1 options nvidia NVreg_InitializeSystemMemoryAllocations=1 options nvidia NVreg_PreserveVideoMemoryAllocations=1 options nvidia NVreg_ResmanDebugLevel=2 options nouveau modeset=0 blacklist nouveau Especially NVreg_EnableGpuFirmwareLogs or NVreg_ResmanDebugLevel can generate more logs to help to debug the issue. Once edited, run sudo update-initramfs -u to apply on the next reboot. For check for other supported parameters, run: modinfo nvidia. After reboot, keep monitoring logs by sudo dmesg, tail -f /var/log/kern.log or sudo journalctl -kf. Consider upgrading BIOS firmware. Kernel timeout issues (e.g. Error while waiting for GPU progress). Suggestions: Increase timeout by echo 600 | sudo tee /proc/sys/kernel/hung_task_timeout_secs. For permanent change, set kernel.hung_task_timeout_secs=600 in newly created /etc/sysctl.d/44-hung_task_timeout_secs.conf file. Or use 0 to disable. Hardware issues. Suggestions: Ensure your card(s) are properly screwed and cables are connected correctly. Ensure you don't move with any cables by accident while card is in use (GPU/monitor cables). Try switching GPU to different slots. For multiple GPUs, try disable one by one. On some motherboards, you can find small switches to do that without need to take the cards physically. Contact your company which assembled your PC, alternatively NVIDIA support (forum or technical support). -
Test also :
nvidia-smi -pm 1 nvidia-smi -lgc 1000,1000 nvidia-smi -pl 150 -
-
Install : https://github.com/apnex/nvidia-driver-injector
sudo git clone https://github.com/apnex/nvidia-driver-injector /root/nvidia-driver-injector cd /root/nvidia-driver-injector sudo ./scripts/apply.sh -
Résultat :
# sudo ./scripts/apply.sh === 0/10 conflict check (apnex/aorus-5090-egpu artifacts?) === no aorus-egpu artifacts detected === 1/10 kernel cmdline (grubby) === grubby not present (non-Fedora-family host?). Set the following kernel cmdline args yourself, by whatever means your distro uses: iommu=off intel_iommu=off thunderbolt.host_reset=false pcie_aspm.policy=performance thunderbolt.clx=0 pcie_port_pm=off AORUS GPU not currently enumerated; can't auto-set pci=resource_alignment. Plug in the eGPU and re-run, or set the arg manually using the bridge BDF above your GPU. === 2/10 kernel-devel for 6.17.0-122035-tuxedo === kernel-devel present at /lib/modules/6.17.0-122035-tuxedo/build === 3/10 gpu UNIX group + GID-rewrite in modprobe.d === gpu group exists (gid=987) === 4/10 /etc/modprobe.d/nvidia-driver-injector.conf === installed /etc/modprobe.d/nvidia-driver-injector.conf (NVreg_DeviceFileGID=987) === 5/10 nvidia-driver-injector-bridge-link-cap (binary + systemd unit) === bridge-link-cap installed + enabled === 6/10 udev rules === udev rules installed (perms + audio-disable) === 7/10 Vulkan/EGL/OpenCL ICD disable === /usr/share/vulkan/icd.d/nvidia_icd.x86_64.json not present (driver may not have shipped this ICD) /usr/share/vulkan/implicit_layer.d/nvidia_layers.json already disabled /usr/share/glvnd/egl_vendor.d/10_nvidia.json already disabled /etc/OpenCL/vendors/nvidia.icd already disabled === 8/10 apply bridge-link-cap now (without rebooting) === GPU not currently enumerated; cap will apply at next boot === 9/10 k3s integration (containerd runtime + RuntimeClass) === k3s not present on this host; skipping k3s integration (re-run with k3s installed, or pass --skip-k3s to silence this) === 10/10 summary === Layer 1 install complete. Next steps: 1. Bring up the injector — pick a path: # Path A (dev / single-host): docker-compose cd /root/nvidia-driver-injector && docker compose up -d # Path B (recommended for production): k3s DaemonSet cd /root/nvidia-driver-injector && kubectl apply -f k8s/daemonset.yaml kubectl rollout status -n kube-system ds/nvidia-driver-injector 2. Once ready, bring up your GPU consumer (e.g., vLLM): - Path A: cd /path/to/workload && docker compose up -d - Path B: see docs/consumer-contract.md (nodeSelector + runtimeClassName: nvidia) -
Fichier : /etc/default/grub
GRUB_DEFAULT=0 GRUB_TIMEOUT_STYLE=hidden GRUB_TIMEOUT=0 GRUB_DISTRIBUTOR='tuxedo' GRUB_CMDLINE_LINUX_DEFAULT='quiet splash' GRUB_CMDLINE_LINUX=""Après
GRUB_DEFAULT=0 GRUB_TIMEOUT_STYLE=hidden GRUB_TIMEOUT=0 GRUB_DISTRIBUTOR='tuxedo' GRUB_CMDLINE_LINUX_DEFAULT='quiet splash' GRUB_CMDLINE_LINUX="iommu=off intel_iommu=off thunderbolt.host_reset=false pcie_aspm.policy=performance thunderbolt.clx=0 pcie_port_pm=off pci=resource_alignment"Update :
# sudo update-grub Sourcing file `/etc/default/grub' Sourcing file `/etc/default/grub.d/50-tuxedo-fix-nvidia-preserve-vram-suspend.cfg' Sourcing file `/etc/default/grub.d/90-tuxedo.cfg' Sourcing file `/etc/default/grub.d/tuxedo-theme.cfg' Generating grub configuration file ... Found theme: /usr/share/grub/themes/tuxedo/theme.txt Found linux image: /boot/vmlinuz-6.17.0-122035-tuxedo Found initrd image: /boot/initrd.img-6.17.0-122035-tuxedo Found memtest86+ 64bit EFI image: /boot/memtest86+x64.efi Warning: os-prober will be executed to detect other bootable partitions. Its output will be used to detect bootable binaries on them and create new boot entries. Adding boot menu entry for UEFI Firmware Settings ... done -
Misère …
# llama-bench -m /models/gemma-3-1b-it-q4_k_m.gguf ggml_cuda_init: failed to initialize CUDA: unknown error | model | size | params | backend | ngl | test | t/s | | ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: | | gemma3 1B Q4_K - Medium | 762.49 MiB | 999.89 M | CUDA | -1 | pp512 | 393.02 ± 6.23 | | gemma3 1B Q4_K - Medium | 762.49 MiB | 999.89 M | CUDA | -1 | tg128 | 48.85 ± 1.55 | build: c3d47e696 (10030) # lsmod | grep nvidia_uvm # modprobe nvidia_uvm modprobe: ERROR: ../libkmod/libkmod-module.c:1084 command_do() Error running install command '/bin/false' for module nvidia_uvm: retcode 1 modprobe: ERROR: could not insert 'nvidia_uvm': Invalid argument -
Je vias donc faire une purge :
sudo nvidia-uninstall sudo apt purge -y '^nvidia-*' '^libnvidia-*' sudo rm -r /var/lib/dkms/nvidia sudo apt -y autoremove sudo update-initramfs -c -k `uname -r` sudo update-grub2Et une reinstallation :
# bash ./NVIDIA-Linux-x86_64-610.43.03.run -m=kernel-open
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