I’m building a docker image for my python flask application from my mac.

However i noticed something strange : my linux/amd64 targeted images are 6x bigger.
From 1gb to 6gb image sizes.

I wonder how it’s possible?

i even doubted my Mac silicon and tried to build it from docker cloud / github but same result … the image is really 6 times bigger.

Here are my requirements

python-dotenv

pydantic
pydantic-settings

pinecone

langchain
langchain-pinecone
langchain-openai
langchain-huggingface

langserve
langgraph

fastapi
uvicorn

sse_starlette

and my docker file

# Stage 1: Builder
FROM python:3.11-slim AS compile-image

ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1

WORKDIR /app

# Copy requirements first for better cache utilization
COPY ./chatbot/chatbot_requirements.txt .

# Create virtual environment and install dependencies
RUN python -m venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"
RUN pip install --upgrade pip && 
    pip install --no-cache-dir -r chatbot_requirements.txt && 
    rm -rf /root/.cache/pip chatbot_requirements.txt

# Stage 2: Final
FROM python:3.11-slim AS runtime-image

ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV PYTHONPATH="/app/:/app/chatbot/"
ENV PATH="/opt/venv/bin:$PATH"

# Create a non-root user
RUN useradd -m appuser

WORKDIR /app

# Copy the virtual environment from the builder stage
COPY --from=compile-image /opt/venv /opt/venv

# Copy application files
COPY --chown=appuser:appuser ./chatbot/ /app/chatbot/
COPY --chown=appuser:appuser .env .

# Switch to non-root user
USER appuser

EXPOSE 8000

CMD ["python", "chatbot/api/chatbot_endpoint.py"]

Do you have any idea why it’s like that and how could i fix it ?

Thank you