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 .…