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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 Hors-ligne
    Tuxedo17T Hors-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 Hors-ligne
      Tuxedo17T Hors-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 Hors-ligne
        Tuxedo17T Hors-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
        0
        • Tuxedo17T Hors-ligne
          Tuxedo17T Hors-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
          0
          • Tuxedo17T Hors-ligne
            Tuxedo17T Hors-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 Hors-ligne
              Tuxedo17T Hors-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 Hors-ligne
                Tuxedo17T Hors-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 Hors-ligne
                  Tuxedo17T Hors-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
                  0
                  • Tuxedo17T Hors-ligne
                    Tuxedo17T Hors-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
                    0
                    • Tuxedo17T Hors-ligne
                      Tuxedo17T Hors-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 Hors-ligne
                        Tuxedo17T Hors-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
                        0
                        • Tuxedo17T Hors-ligne
                          Tuxedo17T Hors-ligne
                          Tuxedo17
                          écrit dernière édition par
                          #66

                          Nouveau test avec /models/Qwen3.6-27B-Q3_K_M.gguf :

                          # llama-bench -m /models/Qwen3.6-27B-Q3_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 |
                          | ------------------------------ | ---------: | ---------: | ---------- | --: | ------------ | --------------: | -------------------: |
                          llama_bench: error: failed to load model '/models/Qwen3.6-27B-Q3_K_M.gguf'
                          
                          # llama-bench -m /models/Qwen3.6-27B-Q3_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 |
                          | ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |
                          | qwen35 27B Q3_K - Medium       |  12.64 GiB |    26.90 B | CUDA       |  -1 |           pp512 |        707.38 ± 5.11 |
                          | qwen35 27B Q3_K - Medium       |  12.64 GiB |    26.90 B | CUDA       |  -1 |           tg128 |         18.31 ± 0.01 |
                          
                          build: c3d47e696 (10030)
                          
                          # llama-bench -m /models/Qwen3.6-27B-Q3_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 27B Q3_K - Medium       |  12.64 GiB |    26.90 B | CUDA       |  -1 | CUDA0        |           pp512 |        841.06 ± 9.58 |
                          | qwen35 27B Q3_K - Medium       |  12.64 GiB |    26.90 B | CUDA       |  -1 | CUDA0        |           tg128 |         20.50 ± 0.02 |
                          
                          build: c3d47e696 (10030)
                          
                          

                          Pendant le test sur les deux cartes j’ai lancé gpustat , j’ai les deux cartes qui tournent :

                          # gpustat 
                          tuxedo-17                              Fri Jul 17 17:14:51 2026  610.43.03
                          [0] NVIDIA GeForce RTX 3060 Laptop GPU | 58°C,  40 % |  4156 /  6144 MB | root(4148M)
                          [1] NVIDIA GeForce RTX 5060 Ti         | 62°C,  60 % |  8916 / 16311 MB | root(8908M)
                          
                          

                          Quand je suis sur CUDA0 :

                           gpustat 
                          tuxedo-17                              Fri Jul 17 17:15:48 2026  610.43.03
                          [0] NVIDIA GeForce RTX 3060 Laptop GPU | 49°C,   0 % |     2 /  6144 MB |
                          [1] NVIDIA GeForce RTX 5060 Ti         | 68°C, 100 % | 12882 / 16311 MB | root(12874M)
                          
                          
                          1 réponse Dernière réponse
                          1
                          • Tuxedo17T Hors-ligne
                            Tuxedo17T Hors-ligne
                            Tuxedo17
                            écrit dernière édition par
                            #67

                            Nouveau test :

                            # llama-bench -m /models/Qwen3.6-27B-Q3_K_M.gguf -dev CUDA0 -fa on --threads 12 -ngl 999 --cache-type-v q8_0
                            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 | threads | type_v |  fa | dev          |            test |                  t/s |
                            | ------------------------------ | ---------: | ---------: | ---------- | --: | ------: | -----: | --: | ------------ | --------------: | -------------------: |
                            | qwen35 27B Q3_K - Medium       |  12.64 GiB |    26.90 B | CUDA       | 999 |      12 |   q8_0 |   1 | CUDA0        |           pp512 |        387.17 ± 2.25 |
                            | qwen35 27B Q3_K - Medium       |  12.64 GiB |    26.90 B | CUDA       | 999 |      12 |   q8_0 |   1 | CUDA0        |           tg128 |         18.31 ± 0.01 |
                            
                            # llama-bench -m /models/Qwen3.6-27B-Q3_K_M.gguf -fa on --threads 12 -ngl 999 --cache-type-v q8_0
                            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 | threads | type_v |  fa |            test |                  t/s |
                            | ------------------------------ | ---------: | ---------: | ---------- | --: | ------: | -----: | --: | --------------: | -------------------: |
                            | qwen35 27B Q3_K - Medium       |  12.64 GiB |    26.90 B | CUDA       | 999 |      12 |   q8_0 |   1 |           pp512 |        367.28 ± 1.88 |
                            | qwen35 27B Q3_K - Medium       |  12.64 GiB |    26.90 B | CUDA       | 999 |      12 |   q8_0 |   1 |           tg128 |         16.71 ± 0.03 |
                            
                            
                            
                            1 réponse Dernière réponse
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