DGX Spark の変更点

追加された行はこの色です。
削除された行はこの色です。
DGX Spark へ行く。
DGX Spark の差分を削除
#author("2026-01-31T18:44:00+09:00","default:ichinomoto","ichinomoto")
#author("2026-01-31T18:50:10+09:00","default:ichinomoto","ichinomoto")
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**GB10 [#pdc44a66]
***forum [#ua21d55f]
https://forums.developer.nvidia.com/c/accelerated-computing/dgx-spark-gb10/719

**DGX OS用 [#k364a40b]
ユーザーガイド~
https://docs.nvidia.com/dgx/dgx-spark/index.html

Start Building on DGX Spark~
https://build.nvidia.com/spark

***UEFI [#h4cad779]
電源を入れてからEscかDelete連打で入れる~
PXE bootが先頭になっていたので起動順を入れ替え。

***firmware更新 [#k88400b9]
 fwupdmgr get-upgrades

***docker [#k1df9b8f]
/etc/docker/daemon.json~
nvidia runtimeを標準で有効化

 {
     "default-runtime": "nvidia",
     "runtimes": {
         "nvidia": {
             "path": "nvidia-container-runtime",
             "runtimeArgs": []
         }
     }
 }

ユーザーからdockerを使用
 sudo gpasswd -a $USER docker

確認
 docker run --rm --gpus all nvidia/cuda:12.6.0-base-ubuntu24.04 nvidia-smi

docker上でのcuda関係~
https://docs.nvidia.com/dgx/dgx-spark/nvidia-container-runtime-for-docker.html~
確認
 docker run -it --runtime=nvidia --gpus=all nvcr.io/nvidia/cuda:13.0.1-devel- ubuntu24.04 bash
 # Inside the container:
 nvidia-smi
 ls /dev/nvidia*
出力
 /dev/nvidia-modeset  /dev/nvidia-uvm  /dev/nvidia-uvm-tools  /dev/nvidia0  /dev/nvidiactl
 
 /dev/nvidia-caps:
 nvidia-cap1  nvidia-cap2

cuda関係その他~
https://docs.nvidia.com/dgx/dgx-spark/ngc.html

***network [#o65f96af]
avahi-daemonとsshdはデフォルトで動いているので$HOSTNAMEでアクセス可能~

***LM Studio [#j585e5e5]

Download
 curl https://lmstudio.ai/download/latest/linux/arm64 -o LM-Studio-latest.AppImage
 chmod +x LM-Studio-latest.AppImage

AppArmorの設定に引っかかるのでsandboxを無効化しないと起動できない
 ./LM-Studio-latest.AppImage --no-sandbox

***vLLM [#o0bd07ff]
https://build.nvidia.com/spark/vllm/instructions~
docker image~
https://catalog.ngc.nvidia.com/orgs/nvidia/containers/vllm

 docker pull nvcr.io/nvidia/vllm:25.12.post1-py3

別イメージ
https://huggingface.co/nologik/vllm-dgx-spark
 docker pull avarok/vllm-dgx-spark:v11
 docker run --rm -it --gpus all --ipc=host -p 8000:8000 -e VLLM_FLASHINFER_MOE_BACKEND=latency -v ~/.cache/huggingface:/root/.cache/huggingface avarok/vllm-dgx-spark:v11 serve cybermotaz/nemotron3-nano-nvfp4-w4a16 --quantization modelopt_fp4 --kv-cache-dtype fp8 --trust-remote-code --max-model-len 131072 --gpu-memory-utilization 0.85

model~
https://huggingface.co/Firworks/GLM-4.5-Air-nvfp4

起動~
 docker run -it --gpus all -p 8000:8000 --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 nvcr.io/nvidia/vllm:25.12.post1-py3 vllm serve "Firworks/GLM-4.5-Air-nvfp4" --served-model-name glm45a --enable-auto-tool-choice --tool-call-parser glm45

***LM Studio [#vbad4dc7]
CLIのみでの接続制限解除~
https://github.com/lmstudio-ai/lms/issues/201
 ~.lmstudio/.internal/http-server-config.json

***claude code [#oc5c32bc]
 export ANTHROPIC_BASE_URL=http://hostname:8000
 export ANTHROPIC_AUTH_TOKEN=none
 claude --model glm4a5

**ubuntuの設定 [#je64f2d3]
***keyboard [#ye5079bf]
 sudo vi /etc/default/keyboard
 # KEYBOARD CONFIGURATION FILE
 
 # Consult the keyboard(5) manual page.
 
 XKBMODEL="pc105"
 XKBLAYOUT="us"
 XKBVARIANT=""
 XKBOPTIONS="ctrl:nocaps"
 
 BACKSPACE="guess"

***フォルダ名変更 [#v4a40f10]
 LANG=C xdg-user-dirs-gtk-update

***tailscale [#m4364792]
 curl -fsSL https://tailscale.com/install.sh | sh

***samba [#ba7eaf64]
 sudo systemctl start smbd
 sudo systemctl enable smbd
 sudo vi /etc/samba/smb.conf
 sudo smbpasswd -a $USER

***日本語とデスクトップ変更 [#ea23ac1a]
 sudo apt install ibus-mozc language-pack-ja xubuntu-desktop

*** uv [#yc7ec2b4]
 curl -LsSf https://astral.sh/uv/install.sh | sh