Nouveau blocage dans SPAMHAUS : Case ID: ST7175387 .
T
Tuxedo17
@Tuxedo17
Messages
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Configuration MailCow : PTR Record/HELO Check -
LLama-swap : Temps de compression -
Update GO-LANGAvant :
$ go version go version go1.22.2 linux/amd64Après le but est l’installation de 1.27.1 à la place de 1.22.2 :
# go version go version go1.27.1 linux/amd64Le but est l’installation de https://github.com/josephburnett/jd
# wget -q https://go.dev/dl/go1.27.1.linux-amd64.tar.gz -
Crash LLama.cppDans les logs :
31.10.328.437 I slot print_timing: id 1 | task 26420 | graphs reused = 26082 31.10.331.740 I slot release: id 1 | task 26420 | stop processing: n_tokens = 55637, truncated = 0 32.10.441.577 I srv operator(): operator(): cleaning up before exit...Dans le syslog, j’ai :
[64949.879619] ------------[ cut here ]------------ [64949.879627] i915 0000:00:02.0: [drm] drm_WARN_ON_ONCE(t_vblank < vblank->time) [64949.879631] WARNING: drivers/gpu/drm/drm_vblank.c:1572 at drm_vblank_restore+0x205/0x280, CPU#7: eDP-1/1662 [64949.879646] Modules linked in: tcp_diag inet_diag tls ccm rfcomm snd_seq_dummy snd_hrtimer evdi(OE) nvidia_uvm(OE) qrtr nvidia(OE) cmac algif_hash algif_skcipher af_alg bnep typec_displayport typec_thunderbolt snd_sof_pci_intel_tgl snd_sof_pci_intel_cnl snd_sof_intel_hda_generic soundwire_intel snd_sof_intel_hda_sdw_bpt snd_sof_intel_hda_common xe snd_soc_hdac_hda snd_sof_intel_hda_mlink snd_sof_intel_hda soundwire_cadence snd_sof_pci snd_sof_xtensa_dsp snd_sof snd_sof_utils snd_soc_acpi_intel_match snd_soc_acpi_intel_sdca_quirks soundwire_generic_allocation snd_soc_sdw_utils snd_soc_acpi soundwire_bus drm_gpusvm_helper snd_soc_sdca gpu_sched crc8 drm_gpuvm drm_exec drm_suballoc_helper snd_soc_avs snd_soc_hda_codec snd_hda_ext_core snd_hda_codec snd_hda_core snd_intel_dspcfg snd_intel_sdw_acpi snd_hwdep intel_rapl_msr intel_rapl_common snd_soc_core intel_uncore_frequency intel_uncore_frequency_common intel_tcc_cooling snd_compress ac97_bus x86_pkg_temp_thermal snd_pcm_dmaengine intel_powerclamp snd_pcm coretemp [64949.879750] snd_seq_midi iwlmvm kvm_intel uvcvideo snd_seq_midi_event snd_rawmidi mac80211 videobuf2_vmalloc snd_seq uvc videobuf2_memops snd_seq_device sunrpc videobuf2_v4l2 libarc4 snd_timer cmdlinepart tuxedo_nb02_nvidia_power_ctrl(OE) videobuf2_common btusb kvm spi_nor uniwill_wmi(OE) ee1004 i915 btmtk binfmt_misc tuxedo_io(OE) clevo_wmi(OE) videodev mei_hdcp snd mei_pxp iwlwifi btrtl irqbypass mtd tuxedo_keyboard(OE) asus_wmi i2c_i801 btbcm rapl tuxedo_compatibility_check(OE) btintel i2c_smbus drm_buddy mei_me spi_intel_pci nls_iso8859_1 intel_cstate platform_profile wmi_bmof led_class_multicolor mc soundcore i2c_mux cfg80211 bluetooth spi_intel drm_display_helper mei nvidiafb vgastate cec fb_ddc rc_core intel_pmc_core i2c_algo_bit pmt_telemetry pmt_discovery pmt_class intel_pmc_ssram_telemetry acpi_pad intel_hid intel_vsec acpi_tad sparse_keymap joydev input_leds mac_hid serio_raw sch_fq_codel vmwgfx drm_ttm_helper ttm msr parport_pc ppdev lp parport dm_crypt nvme_fabrics efi_pstore nfnetlink dmi_sysfs [64949.879885] ip_tables x_tables autofs4 btrfs libblake2b raid10 raid456 async_raid6_recov async_memcpy async_pq async_xor async_tx xor raid6_pq raid1 raid0 linear usbhid cdc_ether usbnet r8152 mii ucsi_acpi typec_ucsi typec hid_multitouch r8125(OE) hid_generic nvme uas usb_storage nvme_core ghash_clmulni_intel r8169 thunderbolt i2c_hid_acpi intel_lpss_pci ahci nvme_keyring i2c_hid intel_lpss realtek video nvme_auth libahci idma64 hid hkdf wmi pinctrl_tigerlake aesni_intel [64949.879970] CPU: 7 UID: 1000 PID: 1662 Comm: eDP-1 Tainted: G OE 7.0.0-110030-tuxedo #30~24.04.1tux1 PREEMPT(lazy) [64949.879975] Tainted: [O]=OOT_MODULE, [E]=UNSIGNED_MODULE [64949.879976] Hardware name: TUXEDO TUXEDO Polaris Intel Gen3 (TGL)/GMxTGxx, BIOS N.1.07A03 09/24/2021 [64949.879979] RIP: 0010:drm_vblank_restore+0x20f/0x280 [64949.879983] Code: 48 8b 7b 08 4c 8b 67 50 4d 85 e4 74 73 4c 89 4d b8 e8 95 22 ec ff 48 89 c6 48 8d 3d fb 59 e0 01 48 c7 c1 a0 61 d7 b0 4c 89 e2 <67> 48 0f b9 3a 45 31 c0 4c 8b 4d b8 45 89 f4 e9 e3 fe ff ff 85 c0 [64949.879985] RSP: 0018:ffffd2c10448b718 EFLAGS: 00010046 [64949.879988] RAX: ffffffffc1a900a0 RBX: ffff8a0cce854000 RCX: ffffffffb0d761a0 [64949.879990] RDX: ffff8a0cc3671c80 RSI: ffffffffc1a900a0 RDI: ffffffffb1cfcf50 [64949.879991] RBP: ffffd2c10448b760 R08: 0000000000000000 R09: fffffffffffff60f [64949.879993] R10: 0000000000000000 R11: 0000000000000000 R12: ffff8a0cc3671c80 [64949.879994] R13: 0000000000000003 R14: 00000000000b790b R15: ffff8a0cc3958828 [64949.879996] FS: 0000799d325fd6c0(0000) GS:ffff8a1c7d563000(0000) knlGS:0000000000000000 [64949.879998] CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 [64949.880000] CR2: 00000000284b4398 CR3: 0000000131fcf001 CR4: 0000000000f72ef0 [64949.880002] PKRU: 55555554 [64949.880003] Call Trace: [64949.880005] <TASK> [64949.880011] drm_crtc_vblank_restore+0x6c/0x150 [64949.880017] bdw_enable_vblank+0xd8/0x100 [i915] [64949.880285] drm_vblank_enable+0x104/0x1b0 [64949.880290] drm_vblank_get+0xb7/0x100 [64949.880294] drm_crtc_vblank_get+0x17/0x30 [64949.880298] intel_display_rps_boost_after_vblank+0x58/0x130 [i915] [64949.880492] intel_prepare_plane_fb+0xfa/0x160 [i915] [64949.880695] drm_atomic_helper_prepare_planes.part.0+0x32/0x1e0 [64949.880701] drm_atomic_helper_prepare_planes+0x5d/0x70 [64949.880705] intel_atomic_commit+0x145/0x310 [i915] [64949.880898] drm_atomic_nonblocking_commit+0x5c/0x70 [64949.880902] drm_mode_atomic_ioctl+0x761/0x8a0 [64949.880907] ? __pfx_drm_mode_atomic_ioctl+0x10/0x10 [64949.880911] drm_ioctl_kernel+0xb7/0x110 [64949.880915] drm_ioctl+0x2ec/0x5b0 [64949.880919] ? __pfx_drm_mode_atomic_ioctl+0x10/0x10 [64949.880924] __x64_sys_ioctl+0xa5/0x100 [64949.880929] x64_sys_call+0x1250/0x26e0 [64949.880933] do_syscall_64+0xd9/0x5b0 [64949.880938] ? psi_task_switch+0x130/0x3a0 [64949.880943] ? raw_spin_rq_unlock+0x14/0x50 [64949.880947] ? finish_task_switch.isra.0+0x95/0x2d0 [64949.880951] ? __schedule+0x2d8/0x660 [64949.880954] ? schedule+0x3d/0x90 [64949.880956] ? do_nanosleep+0x68/0x180 [64949.880960] ? hrtimer_setup_sleeper_on_stack+0x2e/0xb0 [64949.880965] ? hrtimer_nanosleep+0x8b/0x110 [64949.880967] ? __pfx_hrtimer_wakeup+0x10/0x10 [64949.880971] ? common_nsleep+0x43/0x60 [64949.880975] ? __x64_sys_clock_nanosleep+0xf2/0x180 [64949.880977] ? note_gp_changes+0x8f/0xa0 [64949.880981] ? exit_to_user_mode_loop+0x39d/0x540 [64949.880985] ? arch_exit_to_user_mode_prepare.isra.0+0xc3/0xe0 [64949.880988] ? do_syscall_64+0x116/0x5b0 [64949.880992] ? handle_softirqs+0xe5/0x360 [64949.880996] ? arch_exit_to_user_mode_prepare.isra.0+0xd/0x100 [64949.880999] ? irqentry_exit+0x9d/0x640 [64949.881001] ? clear_bhb_loop+0x50/0xa0 [64949.881006] entry_SYSCALL_64_after_hwframe+0x76/0x7e [64949.881008] RIP: 0033:0x799d4bd24f1d [64949.881011] Code: 04 25 28 00 00 00 48 89 45 c8 31 c0 48 8d 45 10 c7 45 b0 10 00 00 00 48 89 45 b8 48 8d 45 d0 48 89 45 c0 b8 10 00 00 00 0f 05 <89> c2 3d 00 f0 ff ff 77 1a 48 8b 45 c8 64 48 2b 04 25 28 00 00 00 [64949.881013] RSP: 002b:0000799d325fc200 EFLAGS: 00000246 ORIG_RAX: 0000000000000010 [64949.881016] RAX: ffffffffffffffda RBX: 0000799d280054e0 RCX: 0000799d4bd24f1d [64949.881017] RDX: 0000799d325fc2f0 RSI: 00000000c03864bc RDI: 0000000000000012 [64949.881019] RBP: 0000799d325fc250 R08: 0000799d28002bb0 R09: 0000799d28002b20 [64949.881020] R10: 0000799d2800cb30 R11: 0000000000000246 R12: 0000799d325fc2f0 [64949.881021] R13: 00000000c03864bc R14: 0000000000000012 R15: 0000000000000008 [64949.881024] </TASK> [64949.881025] ---[ end trace 0000000000000000 ]---Je ne sais pas si cela a un rapport.
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Installation Driver 610.57.04Pas de crash :
# nvidia-smi Tue Sep 1 17:35:06 2026 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 610.57.04 KMD Version: 610.57.04 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 63C P0 36W / 115W | 2096MiB / 6144MiB | 12% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ | 1 NVIDIA GeForce RTX 5060 Ti Off | 00000000:05:00.0 Off | N/A | | 30% 51C P1 49W / 180W | 7894MiB / 16311MiB | 32% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | 0 N/A N/A 3587 C /usr/local/bin/llama-server 2088MiB | | 1 N/A N/A 3587 C /usr/local/bin/llama-server 7886MiB | +-----------------------------------------------------------------------------------------+ -
Installation Driver 610.57.04Installation :
# nvidia-smi Tue Sep 1 16:53:12 2026 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 610.57.04 KMD Version: 610.57.04 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 50C P8 11W / 115W | 0MiB / 6144MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ | 1 NVIDIA GeForce RTX 5060 Ti Off | 00000000:05:00.0 Off | N/A | | 0% 43C P8 5W / 180W | 0MiB / 16311MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | No running processes found | +-----------------------------------------------------------------------------------------+ -
Installation Driver 610.57.04Chargement : https://www.nvidia.com/en-us/drivers/details/277983/
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Crash Tuxedo : -
Crash Tuxedo :J’ai modifié /etc/modprobe.d/blacklist.conf :
# evbug is a debug tool that should be loaded explicitly blacklist evbug # these drivers are very simple, the HID drivers are usually preferred blacklist usbmouse blacklist usbkbd # replaced by e100 blacklist eepro100 # replaced by tulip blacklist de4x5 # causes no end of confusion by creating unexpected network interfaces blacklist eth1394 # snd_intel8x0m can interfere with snd_intel8x0, doesn't seem to support much # hardware on its own (Ubuntu bug #2011, #6810) blacklist snd_intel8x0m blacklist snd_hda_intel # Conflicts with dvb driver (which is better for handling this device) blacklist snd_aw2 # replaced by p54pci blacklist prism54 # replaced by b43 and ssb. blacklist bcm43xx # most apps now use garmin usb driver directly (Ubuntu: #114565) blacklist garmin_gps # replaced by asus-laptop (Ubuntu: #184721) blacklist asus_acpi # low-quality, just noise when being used for sound playback, causes # hangs at desktop session start (Ubuntu: #246969) blacklist snd_pcsp # ugly and loud noise, getting on everyone's nerves; this should be done by a # nice pulseaudio bing (Ubuntu: #77010) blacklist pcspkr # EDAC driver for amd76x clashes with the agp driver preventing the aperture # from being initialised (Ubuntu: #297750). Blacklist so that the driver # continues to build and is installable for the few cases where its # really needed. blacklist amd76x_edac -
Crash Tuxedo :Aie c’est pas parfait :
18.905659] nvidiafb: Device ID: 10de2d04 [ 18.905661] nvidiafb: unknown NV_ARCH [ 18.905835] nvidia 0000:05:00.0: vgaarb: VGA decodes changed: olddecodes=io+mem,decodes=none:owns=none [ 18.917350] pci 0000:05:00.1: extending delay after power-on from D3hot to 20 msec [ 18.917417] pci 0000:05:00.1: D0 power state depends on 0000:05:00.0 [ 18.917561] snd_hda_intel 0000:05:00.1: enabling device (0000 -> 0002) [ 18.917729] snd_hda_intel 0000:05:00.1: Disabling MSI [ 18.917740] snd_hda_intel 0000:05:00.1: Handle vga_switcheroo audio client [ 18.938956] input: HDA NVidia HDMI/DP,pcm=3 as /devices/pci0000:00/0000:00:07.0/0000:03:00.0/0000:04:00.0/0000:05:00.1/sound/card2/input32 [ 18.939023] input: HDA NVidia HDMI/DP,pcm=7 as /devices/pci0000:00/0000:00:07.0/0000:03:00.0/0000:04:00.0/0000:05:00.1/sound/card2/input33 [ 18.939092] input: HDA NVidia HDMI/DP,pcm=8 as /devices/pci0000:00/0000:00:07.0/0000:03:00.0/0000:04:00.0/0000:05:00.1/sound/card2/input34 [ 18.939166] input: HDA NVidia HDMI/DP,pcm=9 as /devices/pci0000:00/0000:00:07.0/0000:03:00.0/0000:04:00.0/0000:05:00.1/sound/card2/input35 [ 19.110414] usb 2-1: new SuperSpeed Plus Gen 2x1 USB device number 5 using xhci_hcd [ 19.121722] usb 2-1: New USB device found, idVendor=8087, idProduct=5787, bcdDevice= 0.00 [ 19.121727] usb 2-1: New USB device strings: Mfr=1, Product=2, SerialNumber=0 [ 19.121729] usb 2-1: Product: USB3 HUB [ 19.121730] usb 2-1: Manufacturer: Intel Corporation [ 19.122559] hub 2-1:1.0: USB hub found [ 19.122595] hub 2-1:1.0: 4 ports detected [ 19.202344] thunderbolt 0-1: new device found, vendor=0xed device=0x41cd [ 19.202350] thunderbolt 0-1: GIGABYTE AORUS RTX506T AI BOX [ 19.394429] usb 2-1.4: new SuperSpeed Plus Gen 2x1 USB device number 6 using xhci_hcd [ 19.408602] usb 2-1.4: New USB device found, idVendor=0bda, idProduct=0423, bcdDevice= 0.03 [ 19.408608] usb 2-1.4: New USB device strings: Mfr=1, Product=2, SerialNumber=0 [ 19.408610] usb 2-1.4: Product: 4-Port USB 3.0 Hub [ 19.408611] usb 2-1.4: Manufacturer: Generic [ 19.410487] hub 2-1.4:1.0: USB hub found [ 19.410736] hub 2-1.4:1.0: 4 ports detected [ 19.682376] usb 2-1.4.4: new SuperSpeed USB device number 7 using xhci_hcd [ 19.694277] usb 2-1.4.4: Int endpoint with wBytesPerInterval of 8 in config 2 interface 0 altsetting 0 ep 131: setting to 16 [ 19.694468] usb 2-1.4.4: New USB device found, idVendor=0bda, idProduct=8153, bcdDevice=31.00 [ 19.694469] usb 2-1.4.4: New USB device strings: Mfr=1, Product=2, SerialNumber=6 [ 19.694471] usb 2-1.4.4: Product: USB 10/100/1000 LAN [ 19.694472] usb 2-1.4.4: Manufacturer: Realtek [ 19.694473] usb 2-1.4.4: SerialNumber: 001000001 [ 19.757542] r8152-cfgselector 2-1.4.4: reset SuperSpeed USB device number 7 using xhci_hcd [ 19.824936] r8152 2-1.4.4:1.0 enxb42e99f45beb: renamed from eth0 -
Crash Tuxedo : -
Crash Tuxedo :Le dernier logs avant le crash :
sept. 01 14:24:37.636400 tuxedo-17 systemd[1]: systemd 255.4-1ubuntu8.17 running in system mode (+PAM +AUDIT +SELINUX +APPARMOR +IMA +SMACK +SECCOMP +GCRYPT -GNUTLS +OPENSSL +ACL +BLKID +CURL +ELFUTILS +FIDO2 +IDN2 -IDN +IPTC +KMOD +LI> sept. 01 14:24:37.636491 tuxedo-17 systemd[1]: Detected architecture x86-64. sept. 01 14:24:37.685390 tuxedo-17 systemd[1]: getty.target: Wants dependency dropin /etc/systemd/system/getty.target.wants/getty@tty1.service target /lib/systemd/system/autovt@.service has different name sept. 01 14:24:37.694384 tuxedo-17 systemd[1]: /etc/systemd/system/llama-swap.service:12: Unknown key name 'Environnent' in section 'Service', ignoring. sept. 01 14:24:37.759392 tuxedo-17 systemd[1]: /etc/systemd/system/llama-server.service:12: Unknown key name 'Environnent' in section 'Service', ignoring. sept. 01 14:24:37.873862 tuxedo-17 systemd-journald[421]: Received SIGTERM from PID 1 (systemd). sept. 01 14:24:37.873893 tuxedo-17 systemd[1]: Stopping systemd-journald.service - Journal Service... sept. 01 14:24:37.873908 tuxedo-17 systemd[1]: systemd-journald.service: Deactivated successfully. sept. 01 14:24:37.873916 tuxedo-17 systemd[1]: Stopped systemd-journald.service - Journal Service. sept. 01 14:24:37.873924 tuxedo-17 systemd[1]: systemd-journald.service: Consumed 17min 2.264s CPU time, 28.9M memory peak, 0B memory swap peak. sept. 01 14:24:37.873932 tuxedo-17 systemd[1]: Starting systemd-journald.service - Journal Service... sept. 01 14:24:37.873939 tuxedo-17 systemd-journald[984342]: Collecting audit messages is disabled. sept. 01 14:24:37.874382 tuxedo-17 systemd[1]: Started systemd-journald.service - Journal Service. sept. 01 14:26:59.886416 tuxedo-17 kernel: /proc/cgroups lists only v1 controllers, use cgroup.controllers of root cgroup for v2 info sept. 01 14:27:05.451421 tuxedo-17 kernel: NVRM: API mismatch: the client 'nvidia-smi' (pid 1008648) NVRM: has the version 580.178.04, but this kernel module has NVRM: the version 610.43.03. Please make sure that this NVRM: kernel module and all NVIDIA driver components NVRM: have the same version. sept. 01 14:27:05.460389 tuxedo-17 kernel: NVRM: API mismatch: the client 'nvidia-smi' (pid 1008651) NVRM: has the version 580.178.04, but this kernel module has NVRM: the version 610.43.03. Please make sure that this NVRM: kernel module and all NVIDIA driver components NVRM: have the same version. sept. 01 14:27:16.792389 tuxedo-17 kernel: wlo1: deauthenticating from c2:55:88:4e:1b:b2 by local choice (Reason: 3=DEAUTH_LEAVING) sept. 01 14:27:20.460396 tuxedo-17 kernel: wlo1: authenticate with c2:55:b8:4e:1b:b2 (local address=14:85:7f:b5:79:3f) sept. 01 14:27:20.461397 tuxedo-17 kernel: wlo1: send auth to c2:55:b8:4e:1b:b2 (try 1/3) sept. 01 14:27:20.491409 tuxedo-17 kernel: wlo1: authenticated sept. 01 14:27:20.491434 tuxedo-17 kernel: wlo1: associate with c2:55:b8:4e:1b:b2 (try 1/3) sept. 01 14:27:20.499406 tuxedo-17 kernel: wlo1: RX AssocResp from c2:55:b8:4e:1b:b2 (capab=0x1511 status=0 aid=2) sept. 01 14:27:20.507381 tuxedo-17 kernel: wlo1: associated sept. 01 14:27:20.514388 tuxedo-17 kernel: iwlwifi 0000:00:14.3: Unhandled alg: 0x707 sept. 01 14:33:58.182481 tuxedo-17 kernel: workqueue: inode_switch_wbs_work_fn hogged CPU for >10000us 4 times, consider switching to WQ_UNBOUND sept. 01 14:33:58.213408 tuxedo-17 kernel: workqueue: inode_switch_wbs_work_fn hogged CPU for >10000us 5 times, consider switching to WQ_UNBOUND sept. 01 14:33:58.231409 tuxedo-17 kernel: workqueue: inode_switch_wbs_work_fn hogged CPU for >10000us 7 times, consider switching to WQ_UNBOUNDAprès le reboot :
# nvidia-smi Tue Sep 1 14:50:52 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 47C P8 11W / 115W | 0MiB / 6144MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ | 1 NVIDIA GeForce RTX 5060 Ti Off | 00000000:05:00.0 Off | N/A | | 0% 43C P8 5W / 180W | 0MiB / 16311MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | No running processes found | +-----------------------------------------------------------------------------------------+ -
LLama-swap : Temps de compression -
llama.cpp : Impact de "-fa on" sur le Prompt Speed -
PC IA sous UbuntuVoici le panier : https://ldlc.com/s/3PYTTLK
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PC IA sous Ubuntu -
PC IA sous UbuntuVoici le détail chiffré et structuré au format Markdown pour votre configuration PC orientée IA avec 64 Go de RAM, le processeur AMD Ryzen 9 9900X, la carte mère Gigabyte X870E AORUS Master et le système Bi-GPU (2x RTX 5060 Ti 16 Go).
📋 Estimation des prix et nomenclature des composants
Composant Référence / Modèle Prix unitaire estimé (Fourchette) Rôle dans la configuration Processeur (CPU) AMD Ryzen 9 9900X (12 cœurs / 24 threads) ~330 € - 380 € Alimente les GPU et gère le prétraitement des données d’IA. Carte Mère Gigabyte X870E AORUS Master ~460 € - 520 € Connectivité USB4/Thunderbolt, base haut de gamme AM5. Mémoire Vive (RAM) 64 Go (2 x 32 Go) DDR5 6000 MHz CL30 (ex: Corsair Vengeance) ~180 € - 220 € Maintien et manipulation des grands flux de données en parallèle. Cartes Graphiques (Bi-GPU) 2x NVIDIA GeForce RTX 5060 Ti (16 Go VRAM) ~550 € - 650 € l’unité<br> <br>(Total : ~1 100 € - 1 300 €) Le cœur du système : cumul de 32 Go de VRAM pour l’IA locale. Stockage (SSD) SSD M.2 NVMe 2 To (ex: Samsung 990 Pro / WD Black) ~140 € - 180 € Chargement rapide des modèles et datasets d’IA. Alimentation (PSU) 1000W / 1200W 80+ Gold/Platinum (ex: Corsair RM1000x) ~150 € - 200 € Alimentation sécurisée et stable pour l’ensemble du Bi-GPU. Boîtier Grand Tour spacieuse (ex: Fractal Design / Corsair) ~140 € - 200 € Espace nécessaire pour loger deux cartes graphiques et dissiper la chaleur. Refroidissement Watercooling AIO 360 mm (ex: Arctic Liquid Freezer III) ~90 € - 130 € Maintien du processeur Ryzen à basse température en charge lourde.
💰 Récapitulatif du budget global estimé
- Fourchette basse : ~2 580 €
- Fourchette haute : ~3 130 €
(Note : Ces tarifs s’entendent hors frais de montage éventuels si vous passez par un assembleur, et peuvent varier légèrement en fonction des revendeurs et des fluctuations du marché.)
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PC IA sous Ubuntu -
llama-swap & demeter-sante.fr : Calcul du coût.Site : https://www.demeter-sante.fr/calculateur-llm
Mes valeurs :
Cached : 312 405 987 tokens
Processed : 19 792 357 tokens
Generated : 3 288 290 tokensIN : Cached+Processed = 332198344 ?
OUT : Generated : 3288290 ?
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llama.cpp : Impact de "-fa on" sur le Prompt SpeedSKILL HERMES
name: llama-swap-prompt-speed
description: Generate llama-swap Prompt Speed min/max charts from SQLite database.llama-swap-prompt-speed — Compétence portable
Génère des graphiques de Prompt Speed (min/max/moyenne) depuis la base de données SQLite de llama-swap.
Prérequis
pip install matplotlib numpy pyyamlStructure
├── SKILL.md # Ce fichier ├── config.yaml # Configuration des chemins ├── llama-swap-prompt-speed.py # Script unique (multi-type) └── llama-swap-prompt-speed-daily.py # Script journalier (standalone)Configuration
Éditer
config.yamlpour modifier les chemins :# Chemin de la base SQLite llama-swap db_path: /root/llama-swap.sqlite # Répertoire de sortie des graphiques PNG output_dir: ./ # Types de graphiques disponibles chart_types: - daily # Par jour (historique complet) - hourly # Par heure de journée (tous jours confondus) # Scripts générés scripts: daily: ./llama-swap-prompt-speed-daily.py hourly: ./llama-swap-prompt-speed-hourly.pyUtilisation
Graphique par jour (historique complet)
# Via le script unifié python3 llama-swap-prompt-speed.py --type daily # Ou script standalone python3 llama-swap-prompt-speed-daily.py # Chemin de config personnalisé python3 llama-swap-prompt-speed.py --type daily --config /chemin/vers/config.yamlGraphique par heure de journée
python3 llama-swap-prompt-speed.py --type hourlyRésultat
- Fichier :
llama-swap-prompt-speed-daily.pngoullama-swap-prompt-speed-by-hour.png - Sortie : dans le répertoire défini dans
output_dirdeconfig.yaml - Filtre : uniquement les requêtes avec
prompt_per_second > 0(server actif)
Description des graphiques
Daily (
--type daily)- Axe X : dates (jour par jour)
- Ligne verte (▼) : min prompt speed par jour
- Ligne orange (▲) : max prompt speed par jour
- Ligne bleue (◆) : moyenne par jour
- Zone bleue semi-transparente : plage min-max
Hourly (
--type hourly)- Axe X : heures de la journée (00-23 UTC)
- Même codage couleurs que daily
- Agrégation sur tous les jours disponibles
Schéma de la base de données
Table
activitydans/root/llama-swap.sqlite:Colonne Type Description ts_created INTEGER Timestamp (Unix epoch) prompt_per_second REAL Vitesse prompt (tokens/seconde) input_tokens INTEGER Tokens en entrée output_tokens INTEGER Tokens générés duration_ms INTEGER Durée de traitement (ms) Exemples de requêtes SQL
-- Compter les jours disponibles SELECT COUNT(DISTINCT date(datetime(ts_created, 'unixepoch', 'utc'))) FROM activity WHERE prompt_per_second > 0; -- Voir les données brutes par jour SELECT date(datetime(ts_created, 'unixepoch', 'utc')) AS jour, MIN(prompt_per_second) AS min, MAX(prompt_per_second) AS max, AVG(prompt_per_second) AS moy FROM activity WHERE prompt_per_second > 0 GROUP BY jour ORDER BY jour;Personnalisation des chemins
Modifier
config.yaml:db_path: chemin vers le fichier SQLiteoutput_dir: où écrire les PNGchart_types: quels graphiques générer
Le script lit automatiquement
config.yamldans son propre répertoire.Résolution de problèmes
Problème Solution ModuleNotFoundError: matplotlibpip install matplotlib numpy pyyamlAucune donnée Vérifier prompt_per_second > 0dans la DBDB introuvable Corriger db_pathdans config.yamlRépertoire de sortie introuvable Le script le crée automatiquement - Fichier :
