Nvidia Jetson

Nvidia Jetson is a series of embedded computing boards from Nvidia. The Jetson TK1, TX1 and TX2 models all carry a Tegra processor (or SoC) from Nvidia that integrates an ARM architecture central processing unit (CPU). Jetson is a low-power system and is designed for accelerating machine learning applications.[1]

Hardware
Nvidia Jetson TK1

The Jetson family includes the following boards:

  • In late April 2014, Nvidia shipped the Nvidia Jetson TK1 development board containing a Tegra K1 SoC in the T124 variant and running Ubuntu Linux.[2]
  • The Nvidia Jetson TX1 development board bears a Tegra X1 of model T210.[3]
  • The Nvidia Jetson TX2 board bears a Tegra X2 of microarchitecture GP10B[4] (SoC type T186 or very similar). This board and the associated development platform was announced in March 2017 as a compact card design for low power scenarios, e.g. for the use in smaller camera drones. A matrix describing a set of performance modes was provided by the media along with that.[5] Further a TX2i variant, said to be rugged and suitable for industrial use cases, is mentioned.[6]
  • The Nvidia Jetson Xavier was announced as a development kit in end of August 2018[7]Indications were given that a 20x acceleration for certain application cases compared to predecessor devices should be expected, and that the application power efficiency is 10x improved.
  • The Nvidia Jetson Nano was announced as a development system in mid-March 2019[8] The intended market is for hobbyist robotics due to the low price point.[9][10] The final specs expose the board being sort of a power-optimized, stripped-down version of what a full Tegra X1 system would mean. Comparing in more detail only half of the CPU (only 4x A57 @ 1.43 GHz) and GPU (128 cores of Maxwell generation @ 921 MHz) cores are present and only half of the maximum possible RAM is attached (4 GB LPDDR4 @ 64 bit + 1.6 GHz = 25.6 GB/s) whilst the available or usable interfacing is determined by the baseboard design and is further subject of implementation decisions and specifics in an end user specific design for an application case.[11]

The published performance modes of the Nvidia Jetson TX2 are:

Mode Max Clocks (Denver2 + A57) Max-P (Denver2 + A57) Max-P (only Denver2) Max-P (only A57) Max-Q (only A57)
GPU Clock / MHz 1302 1122 854
Denver2 Clock / MHz 2000 1400 2000 stopped stopped
Cortex-A57 / MHz 2000+ 1400 stopped 2000 1200
TDP / W might vary 15 15 15 7.5

The published operation modes of the Nvidia Jetson Nano are:

Mode 0 1
GPU Clock / MHz 921 640
Cortex-A57 / MHz 4x 1428 2x 918
2x stopped
TDP / W 10 5

Software

Various operating systems and software might be able to run on the Jetson board series.

Linux

JetPack is a Software Development Kit (SDK) from Nvidia for their Jetson board series. It includes the Linux for Tegra (L4T) operating system and other tools. The official Nvidia download page bears an entry for JetPack 3.2 (uploaded there on 2018-03-08) that states:

JetPack 3.2 adds support for the Linux for Tegra r28.2 image for the Jetson OS. It is packaged with newer versions of Tegra System Profiler, TensorRT, and cuDNN from the last release.[12]

RedHawk Linux is a high-performance RTOS available for the Jetson platform, along with associated NightStar real-time development tools, CUDA/GPU enhancements, and a framework for hardware-in-the-loop and man-in-the-loop simulations. [13]

QNX

The QNX operating system also available for the Jetson platform, though it is not widely announced. There are success reports of installing and running specific QNX packages on certain Nvidia Jetson board variants. Namely the package qnx-V3Q-23.16.01 that is seemingly in parts based on Nvidia's Vibrante Linux distribution is reported to run on the Jetson TK1 Pro board.[14]

gollark: What? That's very low.
gollark: Or longer.
gollark: The timeline is probably a few hundred years to run out of uranium.
gollark: *Technically* with a finite amount you'll eventually run out, but advancing technology should mean it would be easy to replace it anyway.
gollark: You don't need to. There's enough uranium.

See also

References
  1. "A Survey on Evaluating and Optimizing Neural Network Applications on NVIDIA's Jetson Platform", 2018
  2. Michael Larabel (29 April 2014). "NVIDIA's Tegra TK1 Jetson Board Is Now Shipping". Phoronix.
  3. "Embedded Systems Development Solutions from NVIDIA Jetson". NVIDIA. 2015-03-18. Retrieved 2016-07-10.
  4. NVIDIA Rolls Out Tegra X2 GPU Support In Nouveau by Michael Larabel at phoronix.com on March 29, 2017
  5. NVIDIA Announces Jetson TX2: Parker Comes To NVIDIA’s Embedded System Kit, March 7, 2017
  6. NVIDIA Jetson TX2i Module for Industrial Environments
  7. NVIDIA Jetson Xavier Developer Kit
  8. The Power of Modern AI to Millions of Devices | NVIDIA Jetson Nano
  9. "NVIDIA Announces $99 Jetson Nano: Affordable CUDA".
  10. Hands-On: New Nvidia Jetson Nano is More Power In A Smaller Form Factor | Hackaday
  11. NVIDIA Introduces $99 Jetson Nano Developer Kit by Jean-Luc Aufranc on March 19, 2019 on CNXSoft
  12. https://developer.nvidia.com/embedded/downloads
  13. https://www.concurrent-rt.com/redhawk-linux-nvidia-jetson-support/
  14. https://devtalk.nvidia.com/default/topic/940116/running-qnx-onto-jetson-tk1-pro-1860-/
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