Add cuTile base image

tutorials/cutile-python/brev/docker-compose.yml

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+name: &tutorial-name cutile-python
+
+x-config:
+  dockerfile: &dockerfile tutorials/cutile-python/brev/dockerfile
+  image: &image ghcr.io/nvidia/cutile-python-tutorial:latest
+  working-dir: &working-dir /accelerated-computing-hub/tutorials/cutile-python/notebooks
+  default-jupyter-url: &default-jupyter-url
+  gpu-config: &gpu-config
+    privileged: true
+    ulimits:
+      memlock: -1
+      stack: 67108864
+    shm_size: 1g
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities: [gpu]
+  common-service: &common-service
+    pull_policy: missing
+    volumes:
+      - accelerated-computing-hub:/accelerated-computing-hub
+      - /var/run/docker.sock:/var/run/docker.sock
+    environment:
+      BREV_ENV_ID: ${BREV_ENV_ID:-}
+      ACH_TUTORIAL: *tutorial-name
+      ACH_RUN_TESTS: ${ACH_RUN_TESTS:-}
+    user: root
+    working_dir: *working-dir
+  persistent-service: &persistent-service
+    depends_on:
+      base:
+        condition: service_completed_successfully
+    restart: unless-stopped
+
+services:
+  base:
+    <<: [*gpu-config, *common-service]
+    image: *image
+    entrypoint: ["/accelerated-computing-hub/brev/base-start.bash"]
+    build:
+      context: ../../..
+      dockerfile: *dockerfile
+    restart: "no"
+  jupyter:
+    <<: [*gpu-config, *common-service, *persistent-service]
+    image: *image
+    command: *default-jupyter-url
+    ports:
+      - "0.0.0.0:8888:8888" # JupyterLab
+  nsight:
+    <<: [*gpu-config, *common-service, *persistent-service]
+    image: nvcr.io/nvidia/devtools/nsight-streamer-nsys:2025.3.1
+    entrypoint: ["/accelerated-computing-hub/brev/nsight-start.bash"]
+    ports:
+      - "0.0.0.0:8080:8080" # HTTP
+      - "0.0.0.0:3478:3478" # TURN
+
+volumes:
+  accelerated-computing-hub:

tutorials/cutile-python/brev/dockerfile

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+FROM ghcr.io/nvidia/mirrors/nvidia-cuda-13.0.2-base-ubuntu22.04
+
+ENV PYTHON_VERSION=3.12 \
+    PIP_ROOT_USER_ACTION=ignore \
+    PIP_DISABLE_PIP_VERSION_CHECK=1 \
+    VIRTUAL_ENV_DISABLE_PROMPT=1 \
+    OMPI_ALLOW_RUN_AS_ROOT=1 \
+    OMPI_ALLOW_RUN_AS_ROOT_CONFIRM=1 \
+    ACH_RAPIDS_VENV=/opt/venvs/rapids \
+    ACH_TUTORIAL=accelerated-python
+
+# Install system packages (needed before pip install for git-based packages)
+RUN apt-get update -y \
+ && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
+    git \
+    git-lfs \
+    apt-transport-https \
+    ca-certificates \
+    curl \
+    gnupg \
+    lsb-release \
+    libglib2.0-0 \
+ && apt-get clean -y \
+ && rm -rf /var/lib/apt/lists/*
+
+# Install CUDA
+RUN REPO_URL="https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64" \
+ && curl -L -O ${REPO_URL}/cuda-keyring_1.1-1_all.deb \
+ && dpkg -i cuda-keyring_1.1-1_all.deb \
+ && echo "deb [signed-by=/usr/share/keyrings/cuda-archive-keyring.gpg] ${REPO_URL} /" > /etc/apt/sources.list.d/cuda.list \
+ && apt-get update -y \
+ && apt-get install -y --no-install-recommends \
+    cuda-tileiras-13.1 \
+    cuda-compiler-13.1 \
+    cuda-libraries-13.1 \
+ && rm -rf /var/lib/apt/lists/*
+
+# Install Python
+RUN curl -fsSL https://keyserver.ubuntu.com/pks/lookup?op=get\&search=0xBA6932366A755776 | gpg --dearmor -o /usr/share/keyrings/deadsnakes.gpg \
+ && echo "deb [signed-by=/usr/share/keyrings/deadsnakes.gpg] http://ppa.launchpad.net/deadsnakes/ppa/ubuntu jammy main" > /etc/apt/sources.list.d/deadsnakes-ppa.list \
+ && apt-get update -y \
+ && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
+    python${PYTHON_VERSION} \
+    python${PYTHON_VERSION}-dev \
+ && curl -sS https://bootstrap.pypa.io/get-pip.py | python${PYTHON_VERSION} \
+ && ln -sf /usr/bin/python${PYTHON_VERSION} /usr/bin/python3 \
+ && ln -sf /usr/bin/python3 /usr/bin/python \
+ && ln -s /usr/local/bin/pip /usr/bin/pip \
+ && rm -rf /var/lib/apt/lists/*
+
+# Copy only requirements.txt first for better Docker layer caching.
+COPY tutorials/${ACH_TUTORIAL}/brev/requirements.txt /opt/requirements.txt
+
+# Remove externally managed flag and install Python packages.
+RUN rm -f /usr/lib/python3.*/EXTERNALLY-MANAGED \
+ && pip install --no-cache-dir --root-user-action=ignore -r /opt/requirements.txt \
+ && rm -f /opt/requirements.txt
+
+# Install Nsight Systems and Nsight Compute.
+RUN curl -L -O https://developer.nvidia.com/downloads/assets/tools/secure/nsight-systems/2025_3/NsightSystems-linux-cli-public-2025.3.1.90-3582212.deb \
+ && dpkg -i NsightSystems-linux-cli-public-2025.3.1.90-3582212.deb \
+ && rm -f NsightSystems-linux-cli-public-2025.3.1.90-3582212.deb \
+ && curl -L -O https://developer.download.nvidia.com/compute/cuda/repos/debian12/x86_64/nsight-compute-2025.2.1_2025.2.1.3-1_amd64.deb \
+ && dpkg -i nsight-compute-2025.2.1_2025.2.1.3-1_amd64.deb \
+ && rm -f nsight-compute-2025.2.1_2025.2.1.3-1_amd64.deb \
+ && mkdir -p /usr/local/nvidia/bin \
+ && ln -s /opt/nvidia/nsight-systems-cli/2025.3.1/bin/nsys /usr/local/nvidia/bin/nsys \
+ && ln -s /opt/nvidia/nsight-compute/2025.2.1/ncu /usr/local/nvidia/bin/ncu
+
+# Install PyTorch with CUDA 12.8 support.
+RUN pip install --no-cache-dir --root-user-action=ignore \
+    --index-url https://download.pytorch.org/whl/cu129 \
+    torch==2.8.0
+
+# Setup Bash & JupyterLab.
+RUN mkdir -p ~/.local/state/._bash_history \
+ && mkdir -p ~/.jupyter \
+ && ln -fs /accelerated-computing-hub/brev/jupyter-server-config.py ~/.jupyter/jupyter_server_config.py \
+ && mkdir -p ~/.ipython/profile_default/startup \
+ && ln -fs /accelerated-computing-hub/brev/ipython-startup-add-cwd-to-path.py ~/.ipython/profile_default/startup/00-add-cwd-to-path.py \
+ && python -m jupyter labextension disable "@jupyterlab/apputils-extension:announcements"
+
+COPY . /accelerated-computing-hub
+
+WORKDIR /accelerated-computing-hub/tutorials/${ACH_TUTORIAL}/notebooks
+
+# Setup Git.
+RUN git config --unset-all "http.https://github.com/.extraheader" || { code=$?; [ "$code" = 5 ] || exit "$code"; } \
+ && git config --global --add safe.directory "/accelerated-computing-hub"
+
+ENTRYPOINT ["/accelerated-computing-hub/brev/jupyter-start.bash"]

tutorials/cutile-python/brev/requirements.txt

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+cuda-tile

tutorials/cutile-python/notebooks/start.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "b692e38e",
+   "metadata": {},
+   "source": [
+    "## cuTile Python Tutorial\n",
+    "\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "gpuType": "T4",
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}