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  4. Tuxedo 17 (en Ubuntu 24) + GIGABYTE AORUS RTX 5060 Ti AI Box Carte Graphique - 16GB GDDR7.

Tuxedo 17 (en Ubuntu 24) + GIGABYTE AORUS RTX 5060 Ti AI Box Carte Graphique - 16GB GDDR7.

Planifié Épinglé Verrouillé Déplacé Linux
67 Messages 2 Publieurs 1.1k Vues
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  • Tuxedo17T En ligne
    Tuxedo17T En ligne
    Tuxedo17
    écrit dernière édition par
    #46

    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
    
    
    1 réponse Dernière réponse
    0
    • Tuxedo17T En ligne
      Tuxedo17T En ligne
      Tuxedo17
      écrit dernière édition par
      #47

      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.
      
      
      1 réponse Dernière réponse
      0
      • Tuxedo17T En ligne
        Tuxedo17T En ligne
        Tuxedo17
        écrit dernière édition par
        #48

        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
        
        1 réponse Dernière réponse
        0
        • fariasF Hors-ligne
          fariasF Hors-ligne
          farias
          écrit dernière édition par
          #49

          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).
          
          1 réponse Dernière réponse
          0
          • fariasF Hors-ligne
            fariasF Hors-ligne
            farias
            écrit dernière édition par
            #50

            Test also :

              nvidia-smi -pm 1                                                                                                                                        
              nvidia-smi -lgc 1000,1000                                                                                                                               
              nvidia-smi -pl 150     
            
            1 réponse Dernière réponse
            0
            • fariasF Hors-ligne
              fariasF Hors-ligne
              farias
              écrit dernière édition par
              #51

              Install : https://github.com/lokmantsui/aorus-5090-egpu/tree/nvidia-610.43.02-ubuntu-5060ti

              1 réponse Dernière réponse
              0
              • Tuxedo17T En ligne
                Tuxedo17T En ligne
                Tuxedo17
                écrit dernière édition par
                #52

                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
                
                1 réponse Dernière réponse
                0
                • Tuxedo17T En ligne
                  Tuxedo17T En ligne
                  Tuxedo17
                  écrit dernière édition par
                  #53

                  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)
                  
                  
                  1 réponse Dernière réponse
                  0
                  • Tuxedo17T En ligne
                    Tuxedo17T En ligne
                    Tuxedo17
                    écrit dernière édition par
                    #54

                    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
                    
                    1 réponse Dernière réponse
                    0
                    • Tuxedo17T En ligne
                      Tuxedo17T En ligne
                      Tuxedo17
                      écrit dernière édition par
                      #55

                      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
                      
                      1 réponse Dernière réponse
                      0
                      • Tuxedo17T En ligne
                        Tuxedo17T En ligne
                        Tuxedo17
                        écrit dernière édition par
                        #56

                        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-grub2
                        

                        Et une reinstallation :

                        # bash ./NVIDIA-Linux-x86_64-610.43.03.run -m=kernel-open
                        
                        
                        1 réponse Dernière réponse
                        0
                        • Tuxedo17T En ligne
                          Tuxedo17T En ligne
                          Tuxedo17
                          écrit dernière édition par
                          #57

                          Nouveau test :

                          # git clone https://github.com/lokmantsui/aorus-5090-egpu.git -b nvidia-610.43.02-ubuntu-5060ti
                          
                          # cd aorus-5090-egpu
                          
                          # ./install.sh 
                          replacing /etc/modprobe.d/nvidia.conf
                          replacing /etc/modprobe.d/nvidia-graphics-drivers.conf
                          replacing /etc/modprobe.d/nvidia-graphics-drivers-kms.conf
                          replacing /etc/modprobe.d/nvidia-power-management.conf
                          installing /etc/modprobe.d/aorus.conf
                          replacing /etc/default/grub
                          installing /usr/local/bin/aorus-bridge
                          installing /usr/local/bin/aorus-modules
                          installing /etc/systemd/system/aorus.service
                          creating directory /etc/systemd/system/nvidia-persistenced.service.d
                          installing /etc/systemd/system/nvidia-persistenced.service.d/aorus.conf
                          installing /etc/udev/rules.d/99-aorus-egpu.rules
                          running update-initramfs -u
                          update-initramfs: Generating /boot/initrd.img-6.17.0-122035-tuxedo
                          running grub-mkconfig -o /boot/grub/grub.cfg
                          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
                          reloading systemd manager
                          enabling aorus.service
                          Created symlink /etc/systemd/system/multi-user.target.wants/aorus.service → /etc/systemd/system/aorus.service.
                          reloading udev rules
                          install complete; reboot required
                          
                          1 réponse Dernière réponse
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                          • Tuxedo17T En ligne
                            Tuxedo17T En ligne
                            Tuxedo17
                            écrit dernière édition par
                            #58

                            Le script ne voit pas la bonne carte :

                            # /usr/local/bin/aorus-bridge detect
                            0000:00:01.0
                            

                            Je pense qu’il fonctionne seulement quand on a une seule carte.

                            Je vais donc modifier : /usr/local/bin/aorus-bridge .

                            J’ai donc :

                            # lspci -nn | grep -e NVIDIA
                            01:00.0 VGA compatible controller [0300]: NVIDIA Corporation GA106M [GeForce RTX 3060 Mobile / Max-Q] [10de:2520] (rev a1)
                            01:00.1 Audio device [0403]: NVIDIA Corporation GA106 High Definition Audio Controller [10de:228e] (rev a1)
                            05:00.0 VGA compatible controller [0300]: NVIDIA Corporation GB206 [GeForce RTX 5060 Ti] [10de:2d04] (rev a1)
                            05:00.1 Audio device [0403]: NVIDIA Corporation GB206 High Definition Audio Controller [10de:22eb] (rev a1)
                            

                            En détail :

                            # udevadm info -q property -p /sys/bus/pci/devices/0000:05:00.0 
                            DEVPATH=/devices/pci0000:00/0000:00:07.0/0000:03:00.0/0000:04:00.0/0000:05:00.0
                            DRIVER=nvidia
                            PCI_CLASS=30000
                            PCI_ID=10DE:2D04
                            PCI_SUBSYS_ID=1458:41CD
                            PCI_SLOT_NAME=0000:05:00.0
                            MODALIAS=pci:v000010DEd00002D04sv00001458sd000041CDbc03sc00i00
                            SUBSYSTEM=pci
                            USEC_INITIALIZED=2566746846
                            ID_PCI_CLASS_FROM_DATABASE=Display controller
                            ID_PCI_SUBCLASS_FROM_DATABASE=VGA compatible controller
                            ID_PCI_INTERFACE_FROM_DATABASE=VGA controller
                            ID_VENDOR_FROM_DATABASE=NVIDIA Corporation
                            ID_PATH=pci-0000:05:00.0
                            ID_PATH_TAG=pci-0000_05_00_0
                            ID_FOR_SEAT=pci-pci-0000_05_00_0
                            TAGS=:seat:master-of-seat:systemd:
                            CURRENT_TAGS=:master-of-seat:seat:
                            # udevadm info -q property -p /sys/bus/pci/devices/0000:01:00.0 
                            DEVPATH=/devices/pci0000:00/0000:00:01.0/0000:01:00.0
                            DRIVER=nvidia
                            PCI_CLASS=30000
                            PCI_ID=10DE:2520
                            PCI_SUBSYS_ID=1D05:1146
                            PCI_SLOT_NAME=0000:01:00.0
                            MODALIAS=pci:v000010DEd00002520sv00001D05sd00001146bc03sc00i00
                            SUBSYSTEM=pci
                            USEC_INITIALIZED=1449305
                            ID_PCI_CLASS_FROM_DATABASE=Display controller
                            ID_PCI_SUBCLASS_FROM_DATABASE=VGA compatible controller
                            ID_PCI_INTERFACE_FROM_DATABASE=VGA controller
                            ID_VENDOR_FROM_DATABASE=NVIDIA Corporation
                            ID_MODEL_FROM_DATABASE=GA106M [GeForce RTX 3060 Mobile / Max-Q]
                            ID_PATH=pci-0000:01:00.0
                            ID_PATH_TAG=pci-0000_01_00_0
                            ID_FOR_SEAT=pci-pci-0000_01_00_0
                            TAGS=:systemd:master-of-seat:seat:
                            CURRENT_TAGS=:master-of-seat:seat:
                            

                            Je modifier donc modifier :

                            VENDOR_ID="${VENDOR_ID:-0x10de}"   # NVIDIA
                            # DEVICE_ID: exact PCI device id to match (e.g. 0x2b85 for RTX 5090). Leave
                            # empty to match ANY NVIDIA display controller by PCI class — this covers the
                            # whole RTX 50-series (5090=0x2b85, 5060 Ti=0x2d04, …) without a hardcoded list,
                            # in the same spirit as is_tb_tunneled below. Set DEVICE_ID to pin one board.
                            DEVICE_ID="${DEVICE_ID:-0x2d04}"
                            # PCI base class 0x03 = display controller (VGA 0x0300 / 3D 0x0302); selects the
                            # GPU function and excludes its HDMI-audio function (class 0x0403).
                            GPU_CLASS_PREFIX="${GPU_CLASS_PREFIX:-0x03}"
                            
                            
                            1 réponse Dernière réponse
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                            • Tuxedo17T En ligne
                              Tuxedo17T En ligne
                              Tuxedo17
                              écrit dernière édition par
                              #59

                              Mise à jours du fichier : 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="pci=resource_alignment iommu.passthrough=1 thunderbolt.host_reset=false pcie_aspm.policy=performance thunderbolt.clx=0 pcie_port_pm=off pci=resource_alignment=35@0000:00:01.0"
                              

                              Il a du voir la première carte, je change donc :

                              GRUB_DEFAULT=0
                              GRUB_TIMEOUT_STYLE=hidden
                              GRUB_TIMEOUT=0
                              GRUB_DISTRIBUTOR='tuxedo'
                              GRUB_CMDLINE_LINUX_DEFAULT="quiet splash"
                              GRUB_CMDLINE_LINUX="iommu.passthrough=1 thunderbolt.host_reset=false pcie_aspm.policy=performance thunderbolt.clx=0 pcie_port_pm=off pci=resource_alignment=35@0000:00:05.0"
                              
                              
                              1 réponse Dernière réponse
                              0
                              • Tuxedo17T En ligne
                                Tuxedo17T En ligne
                                Tuxedo17
                                écrit dernière édition par
                                #60

                                Premier bench sans crash :

                                # nvidia-smi 
                                Fri Jul 17 15:23:12 2026       
                                +-----------------------------------------------------------------------------------------+
                                | NVIDIA-SMI 595.71.05              Driver Version: 595.71.05      CUDA Version: 13.2     |
                                +-----------------------------------------+------------------------+----------------------+
                                | 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   49C    P0             28W /  115W |       0MiB /   6144MiB |      2%      Default |
                                |                                         |                        |                  N/A |
                                +-----------------------------------------+------------------------+----------------------+
                                |   1  NVIDIA GeForce RTX 5060 Ti     Off |   00000000:05:00.0 Off |                  N/A |
                                | 30%   36C    P0             19W /  180W |       0MiB /  16311MiB |      2%      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: 21656 MiB):
                                  Device 0: NVIDIA GeForce RTX 5060 Ti, compute capability 12.0, VMM: yes, VRAM: 15849 MiB
                                  Device 1: NVIDIA GeForce RTX 3060 Laptop GPU, compute capability 8.6, VMM: yes, VRAM: 5806 MiB
                                | model                          |       size |     params | backend    | ngl |            test |                  t/s |
                                | ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |
                                | gemma3 1B Q4_K - Medium        | 762.49 MiB |   999.89 M | CUDA       |  -1 |           pp512 |    16697.67 ± 675.30 |
                                | gemma3 1B Q4_K - Medium        | 762.49 MiB |   999.89 M | CUDA       |  -1 |           tg128 |        261.49 ± 2.71 |
                                
                                build: c3d47e696 (10030)
                                
                                

                                Donc important :

                                • De modifier /etc/default/grub .
                                • D’utiliser git clone https://github.com/lokmantsui/aorus-5090-egpu.git -b nvidia-610.43.02-ubuntu-5060ti
                                  • De modifier le script /usr/local/bin/aorus-bridge

                                Bref je dois faire un audit de mon installation.

                                1 réponse Dernière réponse
                                0
                                • Tuxedo17T En ligne
                                  Tuxedo17T En ligne
                                  Tuxedo17
                                  écrit dernière édition par
                                  #61

                                  Nouveau test : Qwen3.6-35B-A3B-UD-Q4_K_M.gguf => crash.

                                  # llama-bench -m /models/Qwen3.6-35B-A3B-UD-Q4_K_M.gguf 
                                  ggml_cuda_init: found 2 CUDA devices (Total VRAM: 21656 MiB):
                                    Device 0: NVIDIA GeForce RTX 5060 Ti, compute capability 12.0, VMM: yes, VRAM: 15849 MiB
                                    Device 1: NVIDIA GeForce RTX 3060 Laptop GPU, compute capability 8.6, VMM: yes, VRAM: 5806 MiB
                                  | model                          |       size |     params | backend    | ngl |            test |                  t/s |
                                  | ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |
                                  /home/arias/Documents/llama.cpp/ggml/src/ggml-cuda/ggml-cuda.cu:104: CUDA error
                                  
                                  

                                  Modèle Qwen3.6-27B-Q4_K_M.gguf : OK.

                                  # llama-bench -m /models/Qwen3.6-27B-Q4_K_M.gguf 
                                  ggml_cuda_init: found 2 CUDA devices (Total VRAM: 21656 MiB):
                                    Device 0: NVIDIA GeForce RTX 5060 Ti, compute capability 12.0, VMM: yes, VRAM: 15849 MiB
                                    Device 1: NVIDIA GeForce RTX 3060 Laptop GPU, compute capability 8.6, VMM: yes, VRAM: 5806 MiB
                                  | model                          |       size |     params | backend    | ngl |            test |                  t/s |
                                  | ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |
                                  | qwen35 27B Q4_K - Medium       |  15.65 GiB |    26.90 B | CUDA       |  -1 |           pp512 |        760.71 ± 4.35 |
                                  | qwen35 27B Q4_K - Medium       |  15.65 GiB |    26.90 B | CUDA       |  -1 |           tg128 |         21.50 ± 0.01 |
                                  
                                  build: c3d47e696 (10030)
                                  
                                  1 réponse Dernière réponse
                                  0
                                  • Tuxedo17T En ligne
                                    Tuxedo17T En ligne
                                    Tuxedo17
                                    écrit dernière édition par Tuxedo17
                                    #62

                                    Test unitaire de carte :

                                    # llama-bench --list-devices 
                                    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
                                    Available devices:
                                      CUDA0: NVIDIA GeForce RTX 5060 Ti (15888 MiB, 15752 MiB free)
                                      CUDA1: NVIDIA GeForce RTX 3060 Laptop GPU (5803 MiB, 5685 MiB free)
                                    
                                    
                                    # llama-bench -m /models/gemma-3-1b-it-q4_k_m.gguf -dev CUDA0
                                    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 | dev          |            test |                  t/s |
                                    | ------------------------------ | ---------: | ---------: | ---------- | --: | ------------ | --------------: | -------------------: |
                                    | gemma3 1B Q4_K - Medium        | 762.49 MiB |   999.89 M | CUDA       |  -1 | CUDA0        |           pp512 |   19952.89 ± 1896.43 |
                                    | gemma3 1B Q4_K - Medium        | 762.49 MiB |   999.89 M | CUDA       |  -1 | CUDA0        |           tg128 |        268.47 ± 0.43 |
                                    
                                    build: c3d47e696 (10030)
                                    # llama-bench -m /models/gemma-3-1b-it-q4_k_m.gguf -dev CUDA1
                                    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 | dev          |            test |                  t/s |
                                    | ------------------------------ | ---------: | ---------: | ---------- | --: | ------------ | --------------: | -------------------: |
                                    | gemma3 1B Q4_K - Medium        | 762.49 MiB |   999.89 M | CUDA       |  -1 | CUDA1        |           pp512 |    11023.49 ± 568.09 |
                                    | gemma3 1B Q4_K - Medium        | 762.49 MiB |   999.89 M | CUDA       |  -1 | CUDA1        |           tg128 |        229.36 ± 0.40 |
                                    
                                    build: c3d47e696 (10030)
                                    # llama-bench -m /models/gemma-3-1b-it-q4_k_m.gguf -dev CUDA0,CUDA1
                                    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 | dev          |            test |                  t/s |
                                    | ------------------------------ | ---------: | ---------: | ---------- | --: | ------------ | --------------: | -------------------: |
                                    | gemma3 1B Q4_K - Medium        | 762.49 MiB |   999.89 M | CUDA       |  -1 | CUDA0        |           pp512 |   19994.19 ± 1751.94 |
                                    | gemma3 1B Q4_K - Medium        | 762.49 MiB |   999.89 M | CUDA       |  -1 | CUDA0        |           tg128 |        268.49 ± 0.38 |
                                    | gemma3 1B Q4_K - Medium        | 762.49 MiB |   999.89 M | CUDA       |  -1 | CUDA1        |           pp512 |    11158.41 ± 527.54 |
                                    | gemma3 1B Q4_K - Medium        | 762.49 MiB |   999.89 M | CUDA       |  -1 | CUDA1        |           tg128 |        229.10 ± 0.37 |
                                    
                                    build: c3d47e696 (10030)
                                    # 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 |   16582.32 ± 1005.41 |
                                    | gemma3 1B Q4_K - Medium        | 762.49 MiB |   999.89 M | CUDA       |  -1 |           tg128 |        261.64 ± 1.81 |
                                    
                                    build: c3d47e696 (10030)
                                    
                                    
                                    1 réponse Dernière réponse
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                                    • Tuxedo17T En ligne
                                      Tuxedo17T En ligne
                                      Tuxedo17
                                      écrit dernière édition par
                                      #63

                                      Test :

                                      # du -sh /models/*
                                      769M    /models/gemma-3-1b-it-q4_k_m.gguf
                                      889M    /models/mmproj-BF16(1).gguf
                                      862M    /models/mmproj-BF16.gguf
                                      885M    /models/mmproj-F16.gguf
                                      5,3G    /models/Qwen3.5-9B-Q4_K_M.gguf
                                      16G     /models/Qwen3.6-27B-Q4_K_M.gguf
                                      21G     /models/Qwen3.6-35B-A3B-UD-Q4_K_M.gguf
                                      # llama-bench -m /models/Qwen3.5-9B-Q4_K_M.gguf -dev CUDA0
                                      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 | dev          |            test |                  t/s |
                                      | ------------------------------ | ---------: | ---------: | ---------- | --: | ------------ | --------------: | -------------------: |
                                      | qwen35 9B Q4_K - Medium        |   5.28 GiB |     8.95 B | CUDA       |  -1 | CUDA0        |           pp512 |      3041.38 ± 47.16 |
                                      | qwen35 9B Q4_K - Medium        |   5.28 GiB |     8.95 B | CUDA       |  -1 | CUDA0        |           tg128 |         70.57 ± 0.04 |
                                      
                                      build: c3d47e696 (10030)
                                      # llama-bench -m /models/Qwen3.6-27B-Q4_K_M.gguf -dev CUDA0
                                      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 | dev          |            test |                  t/s |
                                      | ------------------------------ | ---------: | ---------: | ---------- | --: | ------------ | --------------: | -------------------: |
                                      llama_bench: error: failed to create context with model '/models/Qwen3.6-27B-Q4_K_M.gguf'
                                      
                                      
                                      1 réponse Dernière réponse
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                                      • Tuxedo17T En ligne
                                        Tuxedo17T En ligne
                                        Tuxedo17
                                        écrit dernière édition par
                                        #64

                                        Test à faire avec https://huggingface.co/unsloth/Qwen3.6-27B-GGUF/blob/main/Qwen3.6-27B-Q3_K_M.gguf

                                        1 réponse Dernière réponse
                                        0
                                        • Tuxedo17T En ligne
                                          Tuxedo17T En ligne
                                          Tuxedo17
                                          écrit dernière édition par
                                          #65

                                          Installation d’outils pour Hermes Agent IA :

                                          # apt-get install ripgrep
                                          # apt-get install chromium-browser
                                          # npx playwright install-deps chromium
                                          
                                          
                                          1 réponse Dernière réponse
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