Gumstix AI Series for NVIDIA Jetson Nano Features TensorFlow Pre-Integration

April 3, 2020 Perry Cohen

Gumstix announced the release of four Edge AI devices for machine-learning applications moving data from the network’s edge. The devices, which are powered by the NVIDIA Jetson Nano running a Quad-core ARM A57, feature built in TensorFlow support to make edge AI prototyping more accessible for software engineers.

According to the company, the AI devices streamline the software-hardware integration and provide users the following benefits:

- Easy to customize modular designs available in the Geppetto app.

- GPU enabled TensorFlow support.

- Customizable OS (Yocto) for rapid and simple deployment.

The Gumstix Snapshot have up to 16 video streams, along with the 3 other new boards.

Information from Gumstix about the boards are listed:

Gumstix Jetson Nano Snapshot Board

  • 4 x Jetson Nano Vertical Connectors
  • 16 x 15-pin Vertical Camera Connectors (Compatible with Raspberry Pi Camera Module V2)
  • RJ45 Jack with Gigabit Magnetics
  • Micro B USB Plug for flashing and another for serial debugging
  • ESP32 for Jetson Nano, power and switch management
  • Redundant WiFi backup connection for Ethernet failure
  • Serial debugging available via USB connector or via network management

Gumstix Jetson Nano Development Board

  • HDMI - USB 3.0 - 2 x Raspberry Pi Vertical Camera Connector
  • M.2 (Key E) Wireless card interface
  • Ethernet Connector
  • USB Micro-B Jack for flashing
  • USB Micro-B Jack for console debugging
  • Raspberry Pi Compatible 40-pin header

Gumstix Jetson Nano MegaDrive

  • HDMI - USB 3.0
  • 2 x Raspberry Pi Vertical Camera Connector
  • M.2 (Key M) SSD card interface
  • 802.11 ac WiFi
  • USB Micro-B Jack for flashing
  • USB Micro-B Jack for console debugging

Gumstix Jetson Nano FastFlash

  • Gumstix Jetson Nano FastFlash is a compact, cost-effective expansion board designed to quickly initialize or overwrite the Jetson Nano eMMC storage with a new disk image or mount the file system to your PC.

For more information, visit https://www.gumstix.com/

About the Author

Perry Cohen

Perry Cohen, associate editor for Embedded Computing Design, is responsible for web content editing and creation in addition to podcast production. He also assists with the publication’s social media efforts which include strategic posting, follower engagement, and social media analysis. Before joining the ECD editorial team, Perry has been published on both local and national news platforms including KTAR.com (Phoenix), ArizonaSports.com (Phoenix), AZFamily.com, Cronkite News, and MLB/MiLB among others. Perry received a BA in Journalism from the Walter Cronkite School of Journalism and Mass Communications at Arizona State university. He can be reached by email at <a href="mailto:perry.cohen@opensysmedia.com">perry.cohen@opensysmedia.com</a>. Follow Perry’s work and ECD content on his twitter account @pcohen21.

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