Note
9base status: Historical · Lifecycle: archived.
This repository is retained as historical material and is not actively maintained by 9base. The provenance and scope below distinguish local work from inherited projects and dependencies.
This is Suleyman Poyraz's (Zaryob's) small collection of Jetson Nano/NVIDIA installation notes and Docker launcher commands from 2022. Its two recorded local commits add the script collection in January and the short README in August 2022. It is now retained as historical engineering material and archived after documentation; it is not actively maintained.
| Directory | Retained material and recorded image references |
|---|---|
| caffe2 | Launcher and short note; nvcr.io/nvidia/caffe2:18.08-py3 |
| julia | Julia launcher; nvcr.io/hpc/julia:v2.4.1 |
| l4 | L4T base, CUDA, ML and framework launcher variants; includes l4t-base:r32.6.1, l4t-cuda:10.2.460-runtime, l4t-ml:r32.6.1-py3, l4t-pytorch:r32.6.1-pth1.9-py3 and tensorflow:21.12-tf1-py3 under nvcr.io/nvidia |
| matlab | MATLAB launcher and short note; nvcr.io/partners/matlab:r2021b |
| nvdli-data | NVIDIA DLI Nano AI launcher; nvcr.io/nvidia/dli/dli-nano-ai:v2.0.2-r32.6.1kr |
| pytorch | PyTorch launcher; nvcr.io/nvidia/pytorch:21.12-py3 |
| tensorflow | TensorFlow launcher; nvcr.io/nvidia/tensorflow:21.12-tf1-py3 |
These are references recorded in the scripts, not newly built 9base images or verified currently available downloads. Some commands reference L4T/Jetson images while others select general NVIDIA GPU or partner images; the collection does not establish that all of them ran on Jetson Nano or one common architecture.
The scripts record GPU runtime options, host networking and workstation-specific
mounts such as ~/images/..., TensorRT/Python 3.6 directories and /usr/src.
The DLI example also references the Argus socket and /dev/video0. Those paths
describe the original command assumptions, not a portable installation recipe.
9base's contribution is the local command/note collection. NVIDIA, partner images, Julia, MATLAB, Caffe2, PyTorch, TensorFlow and their dependencies remain their respective projects' work. This is not a complete ML framework source tree, a downstream container distribution or a tested current image matrix. No current build, image pull, hardware execution or licensing change was made. There is no evidenced relationship to the Tinker Board 2 family.
This explanation was reconstructed on 8 October 2026 from the public repository tree, metadata and commit history. It is new documentation of historical material, not evidence that this explanation existed during the original development period. Original source authorship, technical history and license files have not been rewritten.
NVIDIA Jetson nano installation guides