Device Type

CHI@Edge Supported Device Types

This page details the Single Board Computers (SBCs) available for edge computing experiments. These devices serve as the primary compute nodes and hosts for peripherals.

machine_name (for reservation)	Description
raspberrypi5	Raspberry Pi 5, all variants
raspberrypi4-64	Raspberry Pi 4, all variants, including CM4
jetson-nano	Nvidia Jetson Nano
jetson-xavier-nx-devkit-emmc	Nvidia Jetson Xavier NX

Hardware Details

Raspberry Pi 5

• 8gb and 16gb variants

• https://www.raspberrypi.com/products/raspberry-pi-5/

Compute Module 5 (coming soon)

• https://www.raspberrypi.com/products/compute-module-5/?variant=cm5-104032

• Lower power draw, wide temperature range support, suitable for embedding into outdoor or rugged applications.

Raspberry Pi 4

Model B, 8gb

• https://www.raspberrypi.com/products/raspberry-pi-4-model-b/specifications/

compute module 4, 8gb

• https://www.raspberrypi.com/products/compute-module-4/?variant=raspberry-pi-cm4001000

• Lower power draw, wide temperature range support, suitable for embedding into outdoor or rugged applications.

Nvidia Jetson Nano

• https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/product-development/

Please note! The latest Nvidia software supported on the Jetson Nano is:

• JetPack 4.6.6

• L4T 32.7.6

This is based on Ubuntu 18.04, Linux Kernel 4.9, and CUDA 10.2

You must use a container image targeting CUDA10.2 to work on these devices.

The NVIDIA SDK for these devices is unfortunately end-of-life, and we are rolling out support for the replacement "Orin Nano" devices, described below.

Nvidia Jetson Xavier NX

• https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-xavier-series/

Please note! The latest Nvidia software supported on the Xavier NX is:

• JetPack 5.1.6

• L4T 35.6.4

This is based on Ubuntu 20.04, and Linux Kernel 5.10.

They currently package CUDA 11.8. Please use containers targeting this release for now.

We are investigating whether they can be upgraded to CUDA12.2, but this is not yet supported on CHI@Edge.

Support for these is limited, as NVIDIA considers them EoL.

Jetson AGX Orin (coming soon)

• https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-xavier-series/

The AGX Orin is currently suported by NVIDIA, we are working to roll out access to a 64GB dev kit.

Jetson Orin Nano (coming soon)

• https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/

• https://nvdam.widen.net/s/zkfqjmtds2/jetson-orin-datasheet-nano-developer-kit-3575392-r2

The Orin Nano is the current offering from Nvidia, replacing the Jetson Nano.

We have two of these under test, and will update once they're generally available.

We are working to get other Orin variants in the pipeline, but don't have an ETA at this time.

Hardware Summary Table

Device Name	CPU	Memory	GPU Arch	AI Perf [1]	Power (TDP)
Raspberry Pi 4B	4c A72 @ 1.8GHz	8GB LPDDR4 13.3 GB/s	VideoCore VI		3W - 7W
Raspberry Pi 5	4c A76 @ 2.4GHz	8GB LPDDR4x 27.3 GB/s	VideoCore VII		5W - 12W
Jetson Nano	4c A57 @ 1.43GHz	4GB LPDDR4 25.6 GB/s	Maxwell (128c)	472 GFLOPS	5W - 10W
Jetson Xavier NX	6c Carmel v8.2	8GB LPDDR4x 59.7 GB/s	Volta (384c+48T)	21 TOPS (Dense, Int8)	10W - 20W