Files
docker-infrastructure/obico/docker-compose.yml
T
poprhythm cd127a23e0 Remove obico's GPU reservation to free VRAM for ollama
obico's own comment already notes its :cuda tag falls back to CPU
inference on this driver/GPU combo, but it was still reserving 826MB
of VRAM it never used productively. That squeeze was forcing ollama
to offload only 20/29 model layers to GPU, pushing the rest onto CPU
and causing severe latency (multi-minute LLM calls) that stalled
SUB/WAVE's track picking.

Claude-Session: https://claude.ai/code/session_01L7Rwa6guD5wK8F8tWQwcJX
2026-09-13 13:27:37 +00:00

46 lines
1.4 KiB
YAML

services:
obico-redis:
image: redis:7.2-alpine
container_name: obico-redis
restart: unless-stopped
networks:
- obico-internal
obico:
# :cuda tag falls back to CPU anyway on this GPU (libcudart.so.11.0
# required; GTX 1660 SUPER with driver 590 has CUDA 12) - adequate for a
# single printer. No GPU reservation here so it doesn't reserve VRAM
# ollama needs for its own model (was forcing partial CPU offload there).
image: ghcr.io/imagegenius/obico:cuda
container_name: obico
restart: unless-stopped
depends_on:
- obico-redis
environment:
- PUID=1000
- PGID=1000
- TZ=America/New_York
- REDIS_URL=redis://obico-redis:6379
# HOST_IP must exactly match the URL used to access Obico (no trailing slash, no http://)
# Wrong value causes HTTP 500 errors on all page loads
- HOST_IP=obico.kolpacksoftware.com
- SITE_USES_HTTPS=True
- CSRF_TRUSTED_ORIGINS=["https://obico.kolpacksoftware.com"]
- DJANGO_SECRET_KEY=${DJANGO_SECRET_KEY}
# Set to True temporarily to register your account, then back to False
- ACCOUNT_ALLOW_SIGN_UP=False
volumes:
- /srv/obico/config:/config
- /srv/obico/config/model_cache:/model_cache/ml_api
ports:
- "3334:3334"
networks:
- npm-network
- obico-internal
networks:
npm-network:
external: true
obico-internal:
driver: bridge