NVIDIA kicked off their line of GPU-accelerated single board computers back in 2014 with the Jetson TK1, a $200 USD development system for those looking to get involved with the burgeoning world of… ...

Using the samples/simple_pwm.py on the Orin Nano and changing the pin from 33 to 32 (which both are valid pwm pins from /opt/nvidia/jetson-io/jetson-io.py) results in the error that channel 32 is not ...

The Jetson Nano 2GB Developer Kit takes that same module and pairs it with a host board with physical USB, HDMI, Ethernet, and DisplayPort connectors. There's also a 40-pin GPIO header and a ...

Nvidia's Jetson family of embeddable GPU solutions is now more affordable than ever, with the Nano -- a $99 diminutive developer kit with a surprisingly powerful GPU and decent Ubuntu-friendly CPU.

Specs and Hands-on The Jetson Nano comes with a quad-core ARM A57 CPU running at 1.4GHz, and since this is Nvidia, you’ve also got a Maxwell GPU with 128 CUDA cores. Memory is 4 GB of LPDDR4 ...

The developer kit includes a reference carrier board and a Jetson Orin Nano 8GB system-on-module, comprised of an Nvidia Ampere GPU with tensor cores and 6-core Arm CPU. Nvidia calls the Nano ...

@MartyG-RealSense This could not be a viable option since this is not the only task I'm working on with the board and also I'm not the only user to operate on it. I will still consider it as a last ...

The Jetson Nano does, however, lose the performance crown in a head-to-head race with Google's recently-launched Coral Edge TPU Development Board: While the two are neck-and-neck in the Inception ...

Even though the Nano 2GB is $40 cheaper than the 4GB model, you're pretty much getting the same single-board computer with 2GB less RAM and fewer USB 3.0 ports.