Jetson: Difference between revisions

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=== nvidia-smi ===
=== nvidia-smi ===
[https://forums.developer.nvidia.com/t/command-nvidia-smi-on-jetson-nano-not-working/119702 Command nvidia-smi on Jetson Nano not working?]
* [https://forums.developer.nvidia.com/t/command-nvidia-smi-on-jetson-nano-not-working/119702 Command nvidia-smi on Jetson Nano not working?] or [https://forums.developer.nvidia.com/t/gpu-usage-info-nvidia-smi-is-not-there/189937 GPU usage info (nvidia-smi is not there)]
* [https://developer.nvidia.com/nvidia-system-management-interface System Management Interface SMI]


== Hardware acceleration ==
== Hardware acceleration ==

Revision as of 13:16, 10 September 2023

General information

More

4GB vs 2GB

Comparison between Jetson Nano 2GB and Jetson Nano 4GB

ARMv8, ARMv9

  • https://en.wikipedia.org/wiki/ARM_architecture_family
  • ARMv8 is an ARM instruction set architecture announced in 2011. It brought a large number of fundamental changes to the instruction set, including the introduction of 64-bit operating capabilities. ARMv8 architecture uses two execution states, AArch32 and AArch64. As the names imply, one is for running 32-bit code and one for 64-bit.
  • After ARMv8, which was introduced in 2011, ARM introduced ARMv9 architecture.
  • According to ARM, some of the major new features of the ARMv9-A architecture include Realm Management Extension (RME) and Embedded Trace Extension (ETE) and Trace Buffer Extension (TRBE).
  • Apple M1 chip or M2 chip is based on ARMv8.5-A instruction set architecture.

Vs Raspberry Pi 4

The two motherboard are similar:new Raspberry Pi has the same arch and almost the same processor (nvidia one is older). VLC doesn’t work on Nvidia Jetson Nano

Get started

Hello AI World

* https://github.com/dusty-nv/jetson-inference

Ubuntu 20.04

Install Ubuntu 20.04 on Jetson Nano

Tips

Boot from USB

Low memory problem in Jetson nano

* Low memory problem in Jetson nano

GPU benchmark

* Nvidia Jetson Nano Review and Benchmark * Glmark2. Glmark2 is an OpenGL 2.0 and ES 2.0 benchmark. glmark2 is a cross-platform tool that can be used to test the performance of the GPU on both platforms with and without CUDA cores. ** sudo apt-get install glmark2 * LuxMark

System monitor

jtop

jtop: The Ultimate Tool for Monitoring NVIDIA Jetson Devices

sudo pip3 install -U jetson-stats
jtop

Tegrastats Utility

nvidia-smi

Hardware acceleration

GStreamer, gst-launch-1.0

Jetson Nano + Raspberry Pi Camera

swap

Alternative OS

https://forums.developer.nvidia.com/t/alternative-os/75649

LineageOS

ARES: aurora retro entertainment system

Kodi