Then came the Jetson Nano. Its 128 core Maxwell CPU still packed plenty of power and was fully compatible with NVIDIA’s CUDA architecture, but its smaller size and $99 price tag made it far more ...

The Jetson Nano also has a set of GPIO pins and the good news is that they are Raspberry Pi compatible. Initial support is limited to the Adafruit Blinka library and to userland control of the pins.

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 ...

Between the scaled-up hardware capabilities and a more optimized software experience, NVIDIA promises the Jetson Orin Nano dev kit is more than twice as fast than the previous-generation Jetson ...

NVIDIA Jetson Orin Nano system-on-module (SoM) is an update to the Jetson Nano entry-level Edge AI and robotics module that delivers up to 40 TOPS of AI performance, meaning it’s up to 80 times faster ...