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Unveiling the NVIDIA Jetson Nano 2GB and Other NVIDIA GTC 2020 Announcements

 Unveiling the NVIDIA Jetson Nano 2GB and Other NVIDIA GTC 2020 Announcements 

NVIDIA Jetson Nano 2GB Press Release

I have given this one a test run, it has all the features you like for Jetson, with just 2 GB less RAM and 2 less USB ports.   This is a very affordable device to do cool apps.

  • 128-core NVIDIA MaxwellTM 
  • 64-bit Quad-core ARM A57 (1.43 GHz)

  • 2 GB 64-bit LPDDR4 (25.6 GB/s bandwidth)

  • Gigabit Ethernet

  • 1x USB 3.0 Type A ports, 2x USB 2.0 Type A ports, 1x USB 2.0


  • HDMI

  • WiFi


  • 1x MIPI CSI-2 connector

  • MicroSD Connector

  • 12-pin header (Power and related signals, UART)

  • 100mm x 80mm x 29mm

  • USB-C Port for Power

Depending where you or or how you buy the package you may need to buy a power supply and USB WiFi.

All of my existing workloads have been working fine in the 2GB version, but with a very nice cost saving.  The setup is easy, the system is fast, I have to highly recommend anyone looking for a quick way to do Edge AI and other edge workloads a try.   This could be a decent machine for learning.   I hooked mine up to a monitor, keyboard and mouse and I could use it right away for edge development and also as a basic desktop.   Nice work!  I might need to get 11 more of these.   These will run MiNiFi agents, Python and Deep Learning classifications at ease.

NVIDIA didn't stop with the ultimate low-cost edge device, they have some serious enterprise updates as well:

Cloudera superchargers the Enterprise Data Cloud with NVIDIA

There seems to be a ton more news coming at this virtual event, so I recommend attending and watching for more detailed posts on new things coming out.

Product page:

Unboxing video:

NVIDIA Jetson Developer Community AI Projects:

Open-source projects on Jetson Nano 2GB:

Dev Blog:

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