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version: '3.8'
services:
jupyterlab_ai:
image: devijlab:v1.1.0
build:
context: .
# user: ${UID}:${GID}
deploy:
resources:
limits:
memory: 16384M
logging:
driver: "json-file"
options:
max-size: "200m"
volumes:
- /home/devi/jupyterlab_docker/datasets:/datasets:ro
- /home/devi/jupyterlab_docker/notebooks:/opt/app/data/
ports:
- '[::1]:8889:8889'
# networks:
# - devijlab-net
network_mode: bridge
entrypoint: ["/usr/bin/python3.10", "/usr/local/bin/jupyter", "lab"]
command: ["--ip=0.0.0.0", "--port=8889", "--notebook-dir=/opt/app/data", "--allow-root"]
extra_hosts:
- "host.docker.internal:host-gateway"
environment:
- JUPYTER_ENABLE_LAB=yes
- HTTP_PROXY=http://172.17.0.1:8120
- HTTPS_PROXY=http://172.17.0.1:8120
- ALL_PROXY=socks5h://172.17.0.1:9001
- NO_PROXY="localhost, 127.0.0.1, ::1"
- NVIDIA_VISIBLE_DEVICES=all
runtime: nvidia
restart: unless-stopped
dns:
- 9.9.9.9
- 149.112.112.112
- 2620:fe::fe
- 2620:fe::9
volumes:
devijlab-vault:
networks:
devijlab-net:
ipam:
driver: overlay
config:
- subnet: 172.18.0.0/16
- ip_range: 172.18.5.0.24
- gateway: 172.18.0.1
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