aukilabs/vlm-node-worker repository overview

⁠Introduction

VLM Node Worker is a Python-based background job processor with GPU support designed for processing images captured by smart glasses in retail environments. It performs image analysis using Ollama VLM/LLM models with GPU-accelerated inference, enabling automated task tracking and analysis.

VLM stands for Vision Language Model - AI models that can understand both images and text.

⁠Quick reference

• Maintained by: Auki Labs⁠
• Where to get help: See the official documentation⁠
• Where to file issues: On GitHub⁠ or talk to us on Discord⁠
• Supported architectures: (more info⁠) amd64, arm64 (arm64v8)

⁠Supported tags

• latest (bleeding edge, not recommended)
• stable (recommended for production)
• v1.0.0, v1.0, v1

⁠How to use the image

See the official documentation⁠ Docker Compose⁠.

⁠Quick Start

# Pull the image
docker pull aukilabs/vlm-node-worker:stable

# Run with basic configuration
docker run -d \
  --name vlm-worker \
  --gpus all \
  -e POSTGRES_URL=postgres://user:pass@host:5432/db \
  -e DATA_DIR=/app/data \
  -e OLLAMA_HOST=http://ollama:11434 \
  aukilabs/vlm-node-worker:stable