Docker simplifies AI application deployment by providing consistent environments from development to production. Here's how to containerize your AI applications powered by Claude and ofox.ai. Why Docker for AI Apps? Reproducible environments — Same behavior locally and in production Dependency isolation — Python packages, system libraries, CUDA versions Easy deployment — Ship to any cloud with Docker Resource control — Limit CPU/memory per container Basic Dockerfile for AI App `dockerfile Dockerfile FROM python:3.11-slim WORKDIR /app Install system dependencies RUN apt-get update && apt-get install -y \ curl \ && rm -rf /var/lib/apt/lists/* Copy requirements first (for caching) COPY requirements.txt . RUN pip install --no-cache-dir -r requirements.txt Copy application COPY . .…