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dustynv/cuda

By dustynv

Updated over 1 year ago

https://github.com/dusty-nv/jetson-containers/packages/cuda/cuda

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dustynv/cuda repository overview

cuda

CONTAINERS
cuda:12.2
   Buildscuda-122_jp60
   RequiresL4T ['==35.*']
   Dependenciesbuild-essential
   Dependantscuda:12.2-samples cudnn:8.9 tensorrt:8.6
   DockerfileDockerfile
   Imagesdustynv/cuda:12.2-r36.2.0 (2023-12-05, 3.4GB)
dustynv/cuda:12.2-samples-r36.2.0 (2023-12-07, 4.8GB)
cuda:12.4
   RequiresL4T ['==36.*']
   Dependenciesbuild-essential
   Dependantscuda:12.4-samples cudnn:9.0 tensorrt:10.0
   DockerfileDockerfile
cuda:12.2-samples
   Buildscuda-122-samples_jp60
   RequiresL4T ['==35.*']
   Dependenciesbuild-essential cuda:12.2 python cmake
   DockerfileDockerfile.samples
   Imagesdustynv/cuda:12.2-samples-r36.2.0 (2023-12-07, 4.8GB)
   NotesCUDA samples from https://github.com/NVIDIA/cuda-samples installed under /opt/cuda-samples
cuda:12.4-samples
   RequiresL4T ['==36.*']
   Dependenciesbuild-essential cuda:12.4 python cmake
   DockerfileDockerfile.samples
   NotesCUDA samples from https://github.com/NVIDIA/cuda-samples installed under /opt/cuda-samples
cuda:11.8
   RequiresL4T ['==35.*']
   Dependenciesbuild-essential
   Dependantscuda:11.8-samples
   DockerfileDockerfile
cuda:11.8-samples
   RequiresL4T ['==35.*']
   Dependenciesbuild-essential cuda:11.8 python cmake
   DockerfileDockerfile.samples
   NotesCUDA samples from https://github.com/NVIDIA/cuda-samples installed under /opt/cuda-samples
cuda:11.4
   Aliasescuda
   RequiresL4T ['<36']
   Dependenciesbuild-essential
   Dependantsarrow:12.0.1 arrow:14.0.1 arrow:5.0.0 audiocraft auto_awq:0.2.4 auto_gptq:0.7.1 awq:0.1.0 bitsandbytes bitsandbytes:builder cuda-python:11.4 cuda:11.4-samples cudf:21.10.02 cudf:23.10.03 cudnn cuml cupy deepstream efficientvit exllama:0.0.14 exllama:0.0.15 faiss:1.7.3 faiss:1.7.3-builder faiss:1.7.4 faiss:1.7.4-builder faiss_lite flash-attention gptq-for-llama gstreamer jetson-inference jetson-utils l4t-diffusion l4t-ml l4t-pytorch l4t-tensorflow:tf1 l4t-tensorflow:tf2 l4t-text-generation langchain langchain:samples llama_cpp:0.2.57 llava local_llm minigpt4 mlc:51fb0f4 mlc:607dc5a nano_llm:24.4 nano_llm:main nanodb nanoowl nanosam nemo numba ollama onnxruntime:1.11 onnxruntime:1.11-builder onnxruntime:1.16.3 onnxruntime:1.16.3-builder onnxruntime:1.17 onnxruntime:1.17-builder openai-triton openai-triton:builder opencv:4.5.0 opencv:4.5.0-builder opencv:4.8.1 opencv:4.8.1-builder opencv:4.9.0 optimum piper-tts pycuda pytorch:1.10 pytorch:1.9 pytorch:2.0 pytorch:2.1 pytorch:2.2 pytorch:2.3 raft realsense ros:foxy-desktop ros:foxy-ros-base ros:foxy-ros-core ros:galactic-desktop ros:galactic-ros-base ros:galactic-ros-core ros:humble-desktop ros:humble-ros-base ros:humble-ros-core ros:iron-desktop ros:iron-ros-base ros:iron-ros-core ros:melodic-desktop ros:melodic-ros-base ros:melodic-ros-core ros:noetic-desktop ros:noetic-ros-base ros:noetic-ros-core sam stable-diffusion stable-diffusion-webui tam tensorflow tensorflow2 tensorrt tensorrt_llm:0.10.dev0 tensorrt_llm:0.10.dev0-builder tensorrt_llm:0.5 tensorrt_llm:0.5-builder text-generation-inference text-generation-webui:1.7 text-generation-webui:6a7cd01 text-generation-webui:main torch2trt torch_tensorrt torchaudio:0.10.0 torchaudio:0.9.0 torchaudio:2.0.1 torchaudio:2.1.0 torchaudio:2.2.2 torchaudio:2.3.0 torchvision:0.10.0 torchvision:0.11.1 torchvision:0.15.1 torchvision:0.16.2 torchvision:0.17.2 transformers transformers:git transformers:nvgpt tritonserver tvm whisper whisperx xformers xtts zed
   DockerfileDockerfile.builtin
cuda:11.4-samples
   Aliasescuda:samples
   RequiresL4T ['<36']
   Dependenciesbuild-essential cuda:11.4 python cmake
   DockerfileDockerfile.samples
   NotesCUDA samples from https://github.com/NVIDIA/cuda-samples installed under /opt/cuda-samples
CONTAINER IMAGES
Repository/TagDateArchSize
  dustynv/cuda:12.2-r36.2.02023-12-05arm643.4GB
  dustynv/cuda:12.2-samples-r36.2.02023-12-07arm644.8GB

Container images are compatible with other minor versions of JetPack/L4T:
    • L4T R32.7 containers can run on other versions of L4T R32.7 (JetPack 4.6+)
    • L4T R35.x containers can run on other versions of L4T R35.x (JetPack 5.1+)

RUN CONTAINER

To start the container, you can use jetson-containers run and autotag, or manually put together a docker run command:

# automatically pull or build a compatible container image
jetson-containers run $(autotag cuda)

# or explicitly specify one of the container images above
jetson-containers run dustynv/cuda:12.2-samples-r36.2.0

# or if using 'docker run' (specify image and mounts/ect)
sudo docker run --runtime nvidia -it --rm --network=host dustynv/cuda:12.2-samples-r36.2.0

jetson-containers run forwards arguments to docker run with some defaults added (like --runtime nvidia, mounts a /data cache, and detects devices)
autotag finds a container image that's compatible with your version of JetPack/L4T - either locally, pulled from a registry, or by building it.

To mount your own directories into the container, use the -v or --volume flags:

jetson-containers run -v /path/on/host:/path/in/container $(autotag cuda)

To launch the container running a command, as opposed to an interactive shell:

jetson-containers run $(autotag cuda) my_app --abc xyz

You can pass any options to it that you would to docker run, and it'll print out the full command that it constructs before executing it.

BUILD CONTAINER

If you use autotag as shown above, it'll ask to build the container for you if needed. To manually build it, first do the system setup, then run:

jetson-containers build cuda

The dependencies from above will be built into the container, and it'll be tested during. Run it with --help for build options.

Tag summary

Content type

Image

Digest

sha256:16cc4bc10

Size

2.8 GB

Last updated

over 1 year ago

docker pull dustynv/cuda:12.8-samples-r36.4.0-cu128-24.04