Prerequisites

  • Architecture: x86_64
  • Chip models: NVIDIA H20
  • Host driver: 610.43.02
  • Container toolkit (optional) : nvidia-container-toolkit

Image contents

Base image

nvcr.io/nvidia/cuda:12.8.0-runtime-ubuntu24.04

System packages

Explicitly installed; the version is the one baked into this image:

  • build-essential — 12.10ubuntu1
  • ca-certificates — 20260601~24.04.1
  • cmake — 3.28.3
  • curl — 8.5.0
  • g++ — 13.2.0
  • gcc — 13.2.0
  • git — 2.43.0
  • libelf1
  • libnuma1 — 2.0.18
  • libpython3-dev — 3.12.3
  • make — 4.3
  • unzip — 6.0
  • vim — 9.1.0016

SDK components

  • CUDA 12.8 (x86_64)

Environment

  • PATH=/usr/local/cuda/bin:$PATH
  • LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH

Launch

With the container toolkit (optional):

  docker run --rm -it \
  --gpus all \
  harbor.baai.ac.cn/flagos-base/flagos-base-nvidia-cuda12.8:2.1.2 bash

Without a toolkit — plain docker / podman:

  docker run --rm -it \
  --device /dev/nvidia0 \
  --device /dev/nvidiactl \
  --device /dev/nvidia-uvm \
  -v /usr/bin/nvidia-smi:/usr/bin/nvidia-smi:ro \
  -v /usr/lib/x86_64-linux-gnu/libnvidia-ml.so.1:/usr/lib/x86_64-linux-gnu/libnvidia-ml.so.1:ro \
  -v /usr/lib/x86_64-linux-gnu/libcuda.so.1:/usr/lib/x86_64-linux-gnu/libcuda.so.1:ro \
  harbor.baai.ac.cn/flagos-base/flagos-base-nvidia-cuda12.8:2.1.2 bash

Verify

Inside the container, confirm the accelerator is visible:

  nvidia-smi

Last updated: 2026-08-14 21:51:46 · 521f2968843d

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Last updated 15 Aug 2026, 09:57 +0800. history