DGX Spark
をテンプレートにして作成
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開始行:
[[FrontPage]]
**GB10 [#pdc44a66]
***forum [#ua21d55f]
https://forums.developer.nvidia.com/c/accelerated-computi...
**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 $USER docker
確認
docker run --rm --gpus all nvidia/cuda:12.6.0-base-ubunt...
docker上でのcuda関係~
https://docs.nvidia.com/dgx/dgx-spark/nvidia-container-ru...
確認
docker run -it --runtime=nvidia --gpus=all nvcr.io/nvidi...
# Inside the container:
nvidia-smi
ls /dev/nvidia*
出力
/dev/nvidia-modeset /dev/nvidia-uvm /dev/nvidia-uvm-to...
/dev/nvidia-caps:
nvidia-cap1 nvidia-cap2
cuda関係その他~
https://docs.nvidia.com/dgx/dgx-spark/ngc.html
***network [#o65f96af]
avahi-daemonとsshdはデフォルトで動いているので$HOSTNAMEで...
***LM Studio [#j585e5e5]
Download
curl https://lmstudio.ai/download/latest/linux/arm64 -o ...
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...
./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 -...
model~
https://huggingface.co/Firworks/GLM-4.5-Air-nvfp4
起動~
docker run -it --gpus all -p 8000:8000 --ipc=host --ulim...
***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-desk...
*** uv [#yc7ec2b4]
curl -LsSf https://astral.sh/uv/install.sh | sh
終了行:
[[FrontPage]]
**GB10 [#pdc44a66]
***forum [#ua21d55f]
https://forums.developer.nvidia.com/c/accelerated-computi...
**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 $USER docker
確認
docker run --rm --gpus all nvidia/cuda:12.6.0-base-ubunt...
docker上でのcuda関係~
https://docs.nvidia.com/dgx/dgx-spark/nvidia-container-ru...
確認
docker run -it --runtime=nvidia --gpus=all nvcr.io/nvidi...
# Inside the container:
nvidia-smi
ls /dev/nvidia*
出力
/dev/nvidia-modeset /dev/nvidia-uvm /dev/nvidia-uvm-to...
/dev/nvidia-caps:
nvidia-cap1 nvidia-cap2
cuda関係その他~
https://docs.nvidia.com/dgx/dgx-spark/ngc.html
***network [#o65f96af]
avahi-daemonとsshdはデフォルトで動いているので$HOSTNAMEで...
***LM Studio [#j585e5e5]
Download
curl https://lmstudio.ai/download/latest/linux/arm64 -o ...
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...
./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 -...
model~
https://huggingface.co/Firworks/GLM-4.5-Air-nvfp4
起動~
docker run -it --gpus all -p 8000:8000 --ipc=host --ulim...
***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-desk...
*** uv [#yc7ec2b4]
curl -LsSf https://astral.sh/uv/install.sh | sh
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