NodeBB

Tu as systemd ? Si oui il faut faire un fichier flip.service dans /etc/systemd/system/. [Unit] Description = application mplayer en boucle After = multi-user.target [Service] ExecStart=LaCommandeIci User=root Type=simple [Install] WantedBy = multi-user.target Le mieux est de faire un utilisateur et un script bash pour changer de vidéo.

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 |

# grep "wp-login.php" /var/log/apache2/access.*.log.1 | sed 's/:/ /g' | awk '{print $2}' | sort -n | uniq -c | sort -n | tail -10 4 91.246.51.140 6 165.231.121.77 6 191.102.165.71 22 2.57.23.72 24 38.253.224.3 58 178.128.84.251 1454 139.162.58.217 1472 165.22.58.190 1868 139.162.58.164 4216 172.104.172.245

Update : [image: 1785824547990-a7b01039-de7f-4239-a35e-d05da2d0e7c8-image.png]

Voir : https://xtom.com/blog/what-is-nethogs-and-how-to-monitor-network-traffic/

Je fait un make install avant puis un nouveau test : root@pcremi:/workspace/llama.cpp/build/bin# ./llama-bench -m /models/Qwen3.6-27B-Q4_K_M.gguf ggml_cuda_init: found 1 ROCm devices (Total VRAM: 16304 MiB): Device 0: AMD Radeon RX 9060 XT, gfx1200 (0x1200), VMM: no, Wave Size: 32, VRAM: 16304 MiB | model | size | params | backend | ngl | test | t/s | | ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: | pid:3402 tid:0x757b61d04280 [CreateContext] fail 11 llama-bench: /home/remia/librocdxg/src/wddm/queue.cpp:267: wsl::thunk::ComputeQueue::ComputeQueue(wsl::thunk::WDDMDevice*, void*, uint64_t, std::atomic<long unsigned int>*, std::atomic<long unsigned int>*, volatile int64_t*, uint32_t, uint32_t, bool): Assertion `ret' failed. Aborted (core dumped) Pas mieux.

Toujours la même erreur : # ./nodebb upgrade Updating NodeBB... 1. Updating package.json file with defaults... OK 2. Bringing base dependencies up to date... started npm notice run nodebb@4.14.6 postinstall npm notice run if [ "$NODE_ENV" != "production" ]; then npx husky install; fi changed 4 packages, and audited 833 packages in 10s 129 packages are looking for funding run `npm fund` for details 8 vulnerabilities (1 moderate, 7 high) To address issues that do not require attention, run: npm audit fix To address all issues (including breaking changes), run: npm audit fix --force Run `npm audit` for details. 3. Checking installed plugins for updates...Checking installed plugins and themes for updates... OK A total of 2 package(s) can be upgraded: * @nodebb/nodebb-plugin-reactions (3.0.3 -> 3.0.4) * nodebb-plugin-feed (4.0.1 -> 4.0.3) Proceed with upgrade (y|n)? y Upgrading packages... 4. Updating NodeBB data store schema... Parsing upgrade scripts... OK | 0 script(s) found, 182 skipped Schema update complete! 5. Rebuilding assets... started 2026-08-04T06:20:09.785Z [4567/57604] - info: [build] Building in parallel mode 2026-08-04T06:20:09.787Z [4567/57604] - info: [build] plugin static dirs build started 2026-08-04T06:20:09.787Z [4567/57604] - info: [build] requirejs modules build started 2026-08-04T06:20:09.788Z [4567/57604] - info: [build] client js bundle build started 2026-08-04T06:20:09.788Z [4567/57604] - info: [build] admin js bundle build started 2026-08-04T06:20:09.789Z [4567/57604] - info: [build] client side styles build started 2026-08-04T06:20:09.789Z [4567/57604] - info: [build] admin control panel styles build started 2026-08-04T06:20:09.791Z [4567/57604] - info: [build] templates build started 2026-08-04T06:20:09.791Z [4567/57604] - info: [build] languages build started 2026-08-04T06:20:10.316Z [4567/57604] - info: [build] plugin static dirs build completed in 0.528sec 2026-08-04T06:20:11.821Z [4567/57604] - info: [build] client js bundle build completed in 2.033sec 2026-08-04T06:20:11.821Z [4567/57604] - info: [build] admin js bundle build completed in 2.033sec 2026-08-04T06:20:15.137Z [4567/57604] - info: [build] requirejs modules build completed in 5.35sec 2026-08-04T06:20:15.138Z [4567/57604] - info: [build] Bundling with Webpack. [10%] building (0/0 modules) 2026-08-04T06:20:16.987Z [4567/57604] - info: [build] client side styles build completed in 7.197sec [10%] building (23/245 modules) [10%] building (411/496 modules) 338 assets 541 modules ERROR in ./build/public/scripts-client.js 3435:5 Module parse failed: Unexpected token (3435:5) You may need an appropriate loader to handle this file type, currently no loaders are configured to process this file. See https://webpack.js.org/concepts#loaders | }); | > ;CC0 1.0 Universal | | Statement of Purpose webpack 5.108.4 compiled with 1 error in 10848 ms 2026-08-04T06:20:27.656Z [4567/57604] - info: [build] Asset compilation successful. Completed in 17.861sec. NodeBB Upgrade Complete!

L’export en Markdown ne fonctionne pas : # hermes sessions export --format md --older-than 90 --dry-run usage: hermes [-h] [--version] [-z PROMPT] [--usage-file PATH] [-m MODEL] [--provider PROVIDER] [-t TOOLSETS] [--resume SESSION] [--continue [SESSION_NAME]] [--worktree] [--accept-hooks] [--skills SKILLS] [--yolo] [--pass-session-id] [--ignore-user-config] [--ignore-rules] [--safe-mode] [--tui] [--cli] [--dev] {chat,model,moa,fallback,secrets,migrate,gateway,proxy,lsp,setup,postinstall,whatsapp,whatsapp-cloud,slack,send,login,logout,auth,status,cron,webhook,portal,kanban,project,hooks,doctor,security,dump,debug,backup,checkpoints,import,config,console,pairing,skills,bundles,plugins,curator,pets,journey,learning,memory-graph,memory,tools,computer-use,mcp,sessions,insights,claw,version,update,uninstall,acp,profile,completion,dashboard,serve,desktop,gui,logs,prompt-size} ... hermes: error: unrecognized arguments: --format --older-than 90 --dry-run

Echec dans le test de timeline : # hugo server --bind 0.0.0.0 --baseURL https://move.cyber-neurones.org -t github-style,hugo-shortcode-gallery,hugo-shortcode-timeline --disableFastRender --appendPort=false -D --disableFastRender --disableLiveReload WARN Module "hugo-shortcode-gallery" is not compatible with this Hugo version: Min 0.121.2 extended; run "hugo mod graph" for more information. Watching for changes in /root/hugo/move.cyber-neurones.org/{archetypes,assets,content,data,i18n,layouts,static,themes} Watching for config changes in /root/hugo/move.cyber-neurones.org/hugo.toml, /root/hugo/move.cyber-neurones.org/themes/github-style/config.toml, /root/hugo/move.cyber-neurones.org/themes/hugo-shortcode-gallery/config.toml, /root/hugo/move.cyber-neurones.org/themes/hugo-shortcode-timeline/config.toml Start building sites … hugo v0.150.0-3f5473b7d4e7377e807290c3acc89feeef1aaa71 linux/amd64 BuildDate=2025-09-08T13:01:12Z VendorInfo=gohugoio ERROR TOCSS: failed to transform "/shortcode-timeline/timeline-mobile.sass" (text/x-sass). Check your Hugo installation; you need the extended version to build SCSS/SASS with transpiler set to 'libsass'.: this feature is not available in your current Hugo version, see https://goo.gl/YMrWcn for more information Built in 197 ms Error: error building site: TOCSS: failed to transform "/shortcode-timeline/timeline.sass" (text/x-sass). Check your Hugo installation; you need the extended version to build SCSS/SASS with transpiler set to 'libsass'.: this feature is not available in your current Hugo version, see https://goo.gl/YMrWcn for more information

Cela semble fonctionner après 3 reboot.

Le prix sur les architectures de CCbot est énorme : [image: 1762611836091-5652ae1b-a0b5-48a2-83d5-e4175a3796ea-image.png]

Encore une augmentation de la charge … [image: 1784906731024-ec1c3ea3-c454-4949-99b2-c7835da5995e-image.png] [image: 1784906751639-6b0fd06d-34d0-4606-bb11-49a2512f4378-image.png]

Petit test : 40.81 t/s

Update : [image: 1767454406909-a149801b-d1c2-47bd-8b96-eea5f23125d1-image.png]

Pendant l’utilisation : # nvidia-smi Tue Jun 30 12:35:32 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 55C P0 28W / 115W | 4621MiB / 6144MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | 0 N/A N/A 1820494 G /usr/lib/xorg/Xorg 4MiB | | 0 N/A N/A 1845119 C /usr/local/bin/llama-server 4598MiB | +-----------------------------------------------------------------------------------------+

https://technical.city/en/cpu/Xeon-E5-2450-v2-vs-Xeon-Gold-6254 “Xeon Gold 6254 outperforms Xeon E5-2450 v2 by a whopping 257% based on our aggregate benchmark results.” [image: 1778078330068-2cb9f765-e02b-4ee4-9d18-8a6a80a51e55-image.png] Sur CPU BOGOMIPS : 159998.72 à 374460.48 j’ai 134.04 % et pas 257%.

Pour fixer le problème j’ai fait : $ pip install --upgrade Pillow Requirement already satisfied: Pillow in ./fittrackee_venv/lib/python3.11/site-packages (11.3.0) Collecting Pillow Downloading pillow-12.2.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (8.8 kB) Downloading pillow-12.2.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (7.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7.1/7.1 MB 11.7 MB/s 0:00:00 Installing collected packages: Pillow Attempting uninstall: Pillow Found existing installation: pillow 11.3.0 Uninstalling pillow-11.3.0: Successfully uninstalled pillow-11.3.0

Command lspci : # lspci -k | grep -EA3 'VGA|3D|Display' 00:02.0 VGA compatible controller: Intel Corporation CometLake-U GT2 [UHD Graphics] (rev 02) Subsystem: CLEVO/KAPOK Computer CometLake-U GT2 [UHD Graphics] Kernel driver in use: i915 Kernel modules: i915

A tester https://github.com/HalfbitStudio/hermes-plugin-rocketchat .

J’avais oublier de modifier le script /usr/local/bin/aorus-bridge . 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}"