CHI@Edge Deployment and Hardware Information

This list will be updated as we promote more devices to production. In the meantime, we're also keeping lists of candiate hardware, sensors, and deployment scenarios, and we're happy to take suggestions!

While the list below references multiple "locations", all devices are part of the same "virtual site". They communicate with each other by tunneling over the public internet, and appear to be on the same network, the same as all other Chameleon sites.

Table of Current Hardware

Location Deployment Name Device CPU Arch CPU Cores RAM (Gb) Kernel
UChicago (Off-Site) Sandbox rpi3-01 Raspberry Pi 3 ARMv8 / aarch64 4 1 5.10.17-v8+
  Device profiles: pi_camera: Raspberry Pi Camera Module V2
UChicago Sandbox rpi4-01 Raspberry Pi 4 ARMv8 / aarch64 4 8 5.10.17-v8+
UChicago Sandbox rpi4-02 Raspberry Pi 4 ARMv8 / aarch64 4 8 5.10.17-v8+
UChicago Sandbox rpi4-03 Raspberry Pi 4 ARMv8 / aarch64 4 8 5.10.17-v8+
UChicago Sandbox rpi4-04 Raspberry Pi 4 ARMv8 / aarch64 4 8 5.10.17-v8+
UChicago Sandbox nano-01 NVIDIA Jetson Nano ARMv8 / aarch64 4 4 4.9-tegra
  Device profiles: jetson_csi_camera: Raspberry Pi Camera Module V2
New Jersey (IoT Lab) Sandbox rpi4-31 Raspberry Pi 4 ARMv8 / aarch64 4 8 5.10.17-v8+
New Jersey (WINLAB) Sandbox rpi4-32 Raspberry Pi 4 ARMv8 / aarch64 4 8 5.10.17-v8+
Chicago (Off-Site) Sandbox rpi4-33 Raspberry Pi 4 ARMv8 / aarch64 4 8 5.10.17-v8+
New Jersey (WINLAB) Sandbox nano-41 NVIDIA Jetson Nano ARMv8 / aarch64 4 4 4.9-tegra
Chicago (Off-Site) Sandbox nano-42 NVIDIA Jetson Nano ARMv8 / aarch64 4 4 4.9-tegra
New Jersey (IoT Lab) Sandbox nano-43 NVIDIA Jetson Nano ARMv8 / aarch64 4 4 4.9-tegra
Texas (TACC) Sandbox kvm-100 Virtual Machine AMD64 / x86_64 4 8 4.15.0-147-generic
Iowa State (ARA) Sandbox ara-bs-151 PC - Desktop AMD64 / x86_64 16 8 4.15.0-151-generic
Iowa State (ARA) Sandbox ara-ue-152 PC - Laptop AMD64 / x86_64 12 8 5.4.0-42-generic

Deployment Profiles

Sandbox Deployment

During this initial preview period, we've deployed two "sandbox" sites near our offices and residences at UChicago and New Jersey. While hosted within office or residential networks, all devices are connected to the rest of the site by tunneling over the public internet, not via any special connections. Each sandbox site has a cluster of Raspberry Pi 4s and Jetson Nanos.

Raspberry Pi 4

  • Official Documentation
  • CPU cores: 4
  • Ram: 8gb
  • Disk: 32gb microsd card
  • Linux Kernel 5.10.17
  • CPU Architecture: arm64

Nvidia Jetson Nano

  • Official Documentation
  •  GPU: 128-core Maxwell 
  • CPU: Quad-core ARM A57 @ 1.43 GHz
  • Memory: 4 GB 64-bit LPDDR4 25.6 GB/s
  • Storage: 32gb microsd card
  • Linux Kernel 4.9-tegra

As it's a "sandbox", this deployment has no attached sensors (yet!).

Coming soon to a testbed near you

Candidate Locations

  • UChicago John Crerar Library (Live!)
  • Other spaces at UChicago
  • Lab Spaces at Rutgers University, NJ
  • Office / Residential spaces in NJ (Live!)
  • More to come!

 

Candidate Sensors and Peripherals

  • Raspberry Pi Cameras
  • Pixhawk flight controller
  • RTL-SDR software defined radio
  • Any Pi HAT compatible sensors
  • Indoor / Outdoor autonomous model cars

Candidate Devices

We're currently evaluating some additional devices for inclusion in the platform. We welcome suggestions and requests.

Nvidia Jetson Xavier NX

  • Official Documentation
  • GPU: NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores
  • CPU: 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3
  • Memory: 8 GB 128-bit LPDDR4x @ 51.2GB/s
  • Storage: 32GB MicroSD
  • Kernel: 4.9-tegra

Nvidia Xavier AGX

  • Official Documentation
  • GPU: 512-core Volta GPU with Tensor Cores
  • CPU: 8-core ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3
  • Memory: 32GB 256-Bit LPDDR4x | 137GB/s
  • Storage: 32GB eMMC 5.1
  • Kernel: 4.9-tegra

Up Squared

  • Official Documentation
  • CPU: Intel Quad Core Atom, x86_x64
  • Memory: 8GB
  • Storage: 32GB eMMC
  • Kernel: x86_64, Linux mainline