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+# Use NVIDIA CUDA base image with Python
+FROM nvidia/cuda:12.1.0-cudnn8-runtime-ubuntu22.04
+
+# Install Python 3.12
+RUN apt-get update && apt-get install -y \
+    software-properties-common \
+    && add-apt-repository ppa:deadsnakes/ppa \
+    && apt-get update && apt-get install -y \
+    python3.12 \
+    python3.12-venv \
+    python3.12-dev \
+    python3-pip \
+    ffmpeg \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+# Make python3.12 the default
+RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.12 1
+RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.12 1
+
+# Upgrade pip
+RUN python -m pip install --upgrade pip
+
+# Set working directory
+WORKDIR /app
+
+# Copy requirements first for better caching
+COPY fast-whisper-mcp-server/requirements.txt .
+
+# Install Python dependencies with CUDA support
+RUN pip install --no-cache-dir \
+    faster-whisper \
+    torch==2.5.1 --index-url https://download.pytorch.org/whl/cu121 \
+    torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/cu121 \
+    mcp[cli]
+
+# Copy application code
+COPY fast-whisper-mcp-server/ .
+
+# Create directories for models and outputs
+RUN mkdir -p /models /outputs
+
+# Set environment variables for GPU
+ENV WHISPER_MODEL_DIR=/models
+ENV TRANSCRIPTION_OUTPUT_DIR=/outputs
+ENV TRANSCRIPTION_MODEL=large-v3
+ENV TRANSCRIPTION_DEVICE=cuda
+ENV TRANSCRIPTION_COMPUTE_TYPE=float16
+
+# Run the server
+CMD ["python", "whisper_server.py"]