Une minute
LLM studio on Spark
Installation
curl -fsSL https://lmstudio.ai/install.sh | bash
curl -L -O https://raw.githubusercontent.com/lmstudio-ai/docs/main/_assets/nvidia-spark-playbook/bash/run.sh
# Or with Python
curl -L -O https://raw.githubusercontent.com/lmstudio-ai/docs/main/_assets/nvidia-spark-playbook/py/run.py
Download model
lms get openai/gpt-oss-120b
lms get qwen/qwen3.6-27b
Test
lms server start --bind 0.0.0.0 --port 1234
hostname -I
curl http://server_ip:1234/api/v1/models
curl -LsSf https://astral.sh/uv/install.sh | sh
uv run --script run.py
Connect lms headless to LM Link network
On the server run:
lms login
lms link enable
Create a service
Create a file /etc/systemd/system/lms.service and add the content:
[Unit]
Description=LM Studio Server
After=network.target
[Service]
Type=simple
User=olivier
Environment=HOME=/home/olivier
ExecStart=/bin/bash -c '\
/home/olivier/.lmstudio/bin/lms daemon up && \
sleep 5 && \
tail -f /dev/null'
Restart=always
RestartSec=10
[Install]
WantedBy=multi-user.target
Then execute the following commands:
sudo systemctl daemon-reload
sudo systemctl enable lms
sudo systemctl start lms
In case it does not work:
journalctl -u lms -f
sudo systemctl status lms