Tools, art, and infrastructure for digital subcultures. At the intersections of technology, media, and radical imagination.

Chicago IL, USA

hasanara-ml-cuda (v0.1.0-rc.17)

Published 2026-09-25 00:32:44 -05:00 by PatrickFanella

Pull the image from the command line:

docker pull git.subcult.tv/subculture-collective/hasanara-ml-cuda:v0.1.0-rc.17

Digest

sha256:30c0f847807c9332f4aeaa99b92b52a9cf89f355c0f0b972fd97e7453a423370

For more information on the Container registry, see the documentation.

Image Layers

ARG RELEASE

ARG LAUNCHPAD_BUILD_ARCH

LABEL org.opencontainers.image.ref.name=ubuntu

LABEL org.opencontainers.image.version=22.04

ADD file:d5da92199726e42da09a6f75a778befb607fe3f79e4afaf7ef5188329b26b386 in /

CMD ["/bin/bash"]

ENV NVARCH=x86_64

ENV NVIDIA_REQUIRE_CUDA=cuda>=12.6 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551

ENV NV_CUDA_CUDART_VERSION=12.6.37-1

ARG TARGETARCH

LABEL maintainer=NVIDIA CORPORATION <[email protected]>

RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.1-1_all.deb && dpkg -i cuda-keyring_1.1-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit

ENV CUDA_VERSION=12.6.0

RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-6=${NV_CUDA_CUDART_VERSION} cuda-compat-12-6 && rm -rf /var/lib/apt/lists/* # buildkit

RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit

ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin

ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64

COPY NGC-DL-CONTAINER-LICENSE / # buildkit

ENV NVIDIA_VISIBLE_DEVICES=all

ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility

ENV NV_CUDA_LIB_VERSION=12.6.0-1

ENV NV_NVTX_VERSION=12.6.37-1

ENV NV_LIBNPP_VERSION=12.3.1.23-1

ENV NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.23-1

ENV NV_LIBCUSPARSE_VERSION=12.5.2.23-1

ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6

ENV NV_LIBCUBLAS_VERSION=12.6.0.22-1

ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.0.22-1

ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2

ENV NV_LIBNCCL_PACKAGE_VERSION=2.22.3-1

ENV NCCL_VERSION=2.22.3-1

ENV NV_LIBNCCL_PACKAGE=libnccl2=2.22.3-1+cuda12.6

ARG TARGETARCH

LABEL maintainer=NVIDIA CORPORATION <[email protected]>

RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-6=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-6=${NV_NVTX_VERSION} libcusparse-12-6=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit

RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit

COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit

COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit

ENV NVIDIA_PRODUCT_NAME=CUDA

ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]

ARG CUDA_WHEEL_INDEX=https://download.pytorch.org/whl/cu126

ENV DEBIAN_FRONTEND=noninteractive PYTHONUNBUFFERED=1 PYTHONDONTWRITEBYTECODE=1 PIP_NO_CACHE_DIR=1 PIP_DISABLE_PIP_VERSION_CHECK=1 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility

RUN |1 CUDA_WHEEL_INDEX=https://download.pytorch.org/whl/cu126 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends ffmpeg python3 libpython3.10 python3-pip git curl ca-certificates unzip && rm -rf /var/lib/apt/lists/* && apt-get clean # buildkit

RUN |1 CUDA_WHEEL_INDEX=https://download.pytorch.org/whl/cu126 /bin/sh -c curl -fsSL https://deno.land/install.sh | sh && mv /root/.deno/bin/deno /usr/local/bin/deno && chmod +x /usr/local/bin/deno && deno --version # buildkit

RUN |1 CUDA_WHEEL_INDEX=https://download.pytorch.org/whl/cu126 /bin/sh -c rm -rf /usr/local/lib/python3.10/dist-packages/* # buildkit

COPY /usr/local/lib/python3.10/dist-packages /usr/local/lib/python3.10/dist-packages # buildkit

COPY /usr/local/bin /usr/local/bin # buildkit

RUN |1 CUDA_WHEEL_INDEX=https://download.pytorch.org/whl/cu126 /bin/sh -c python3 -m pip uninstall --yes pip && apt-get purge -y python3-pip # buildkit

WORKDIR /app

COPY . /app # buildkit

RUN |1 CUDA_WHEEL_INDEX=https://download.pytorch.org/whl/cu126 /bin/sh -c python3 -m compileall -q /app # buildkit

ENV PDF_FONT_PATH=/app/fonts/DejaVuSerif.ttf HF_HOME=/root/.cache/hf HF_HUB_CACHE=/root/.cache/hf/hub TRANSFORMERS_CACHE=/root/.cache/hf/transformers FORCE_GPU=true WHISPER_BACKEND=faster-whisper GPU_DEVICE_PREFERENCE=cuda GPU_COMPUTE_TYPES=int8,float32

HEALTHCHECK {Test:[CMD-SHELL curl -f http://localhost:8000/health || exit 1] Interval:30s Timeout:3s StartPeriod:40s StartInterval:0s Retries:3}

EXPOSE [8000/tcp]

CMD ["uvicorn" "app.main:app" "--host" "0.0.0.0" "--port" "8000"]