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)
1x USB 3.0 Type A ports, 2x USB 2.0 Type A ports, 1x USB 2.0
GPIOs, I2C, I2S, SPI, PWM, UART
1x MIPI CSI-2 connector
12-pin header (Power and related signals, UART)
100mm x 80mm x 29mm
USB-C Port for Power
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.
NVIDIA Jetson Developer Community AI Projects:
Open-source projects on Jetson Nano 2GB: