Files
LocalAI/docker-compose.yaml
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localai-org-maint-bot 10d1e3e5cb fix(compose): request NVIDIA compute capability
The legacy NVIDIA device reservation requests utility without compute.
Docker derives driver capabilities from that list, leaving CUDA libraries
unavailable even when monitoring works.

Include compute in the legacy example and clarify the matching docs.

Assisted-by: Codex:GPT-6
2026-09-12 10:02:44 +00:00

96 lines
3.6 KiB
YAML

services:
api:
# See https://localai.io/basics/getting_started/#container-images for
# a list of available container images (or build your own with the provided Dockerfile)
# Available images with CUDA, ROCm, SYCL
# Image list (quay.io): https://quay.io/repository/go-skynet/local-ai?tab=tags
# Image list (dockerhub): https://hub.docker.com/r/localai/localai
image: quay.io/go-skynet/local-ai:master
build:
context: .
dockerfile: Dockerfile
args:
- IMAGE_TYPE=core
- BASE_IMAGE=ubuntu:24.04
ports:
- 8080:8080
env_file:
- .env
environment:
- MODELS_PATH=/models
# Avoid probing remote gallery GGUF metadata during container startup.
# Remove this line or set a positive limit to opt back into cache warming.
- LOCALAI_VRAM_WARM_LIMIT=0
# - DEBUG=true
## Agents (LocalAGI) - https://localai.io/features/agents/
# - LOCALAI_DISABLE_AGENTS=false
# - LOCALAI_AGENT_POOL_DEFAULT_MODEL=hermes-3-llama3.1-8b
# - LOCALAI_AGENT_POOL_ENABLE_SKILLS=true
# - LOCALAI_AGENT_POOL_ENABLE_LOGS=true
# - LOCALAI_AGENT_HUB_URL=https://agenthub.localai.io
## Uncomment to use PostgreSQL for the knowledge base (requires the postgres service below)
# - LOCALAI_AGENT_POOL_VECTOR_ENGINE=postgres
# - LOCALAI_AGENT_POOL_DATABASE_URL=postgresql://localrecall:localrecall@postgres:5432/localrecall?sslmode=disable
volumes:
- models:/models
- images:/tmp/generated/images/
- data:/data
- backends:/backends
- configuration:/configuration
command:
# Here we can specify a list of models to run (see quickstart https://localai.io/basics/getting_started/#running-models )
# or an URL pointing to a YAML configuration file, for example:
# - https://gist.githubusercontent.com/mudler/ad601a0488b497b69ec549150d9edd18/raw/a8a8869ef1bb7e3830bf5c0bae29a0cce991ff8d/phi-2.yaml
- phi-2
# For NVIDIA GPU support with CDI (recommended for NVIDIA Container Toolkit 1.14+):
# Uncomment the following deploy section and use driver: nvidia.com/gpu.
# Include `utility` in capabilities so nvidia-smi / NVML are available —
# without it, free-VRAM reporting on discrete GPUs is unavailable and the
# Nodes UI will misreport memory usage.
# environment:
# NVIDIA_DRIVER_CAPABILITIES: "compute,utility"
# init: true # avoids zombie-reap races that can make nvidia-smi flaky
# deploy:
# resources:
# reservations:
# devices:
# - driver: nvidia.com/gpu
# count: all
# capabilities: [gpu, utility]
#
# For legacy NVIDIA driver (for older NVIDIA Container Toolkit):
# Request compute for CUDA libraries (libcuda.so.1) and utility for NVML.
# environment:
# NVIDIA_DRIVER_CAPABILITIES: "compute,utility"
# init: true
# deploy:
# resources:
# reservations:
# devices:
# - driver: nvidia
# count: 1
# capabilities: [gpu, compute, utility]
## Uncomment for PostgreSQL-backed knowledge base (see Agents docs)
# postgres:
# image: quay.io/mudler/localrecall:v0.5.2-postgresql
# environment:
# - POSTGRES_DB=localrecall
# - POSTGRES_USER=localrecall
# - POSTGRES_PASSWORD=localrecall
# volumes:
# - postgres_data:/var/lib/postgresql
# healthcheck:
# test: ["CMD-SHELL", "pg_isready -U localrecall"]
# interval: 10s
# timeout: 5s
# retries: 5
volumes:
models:
images:
data:
configuration:
backends:
# postgres_data: