To hit the $59 price point, there are a few other differences between the 4GB and 2GB variants of the Jetson Nano. Most noticeable is that the 2GB version only has one USB 3.0 port (compared to ...

In addition, the Jetson Nano 2GB is powered by CUDA-X, a collection of libraries and tools designed to support AI-based features, data processing, machine learning (ML), and deployment.

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 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, there is support for ...

The Jetson Nano is powered by the Tegra X1 SoC, which features quad 1.43 GHz Cortex-A57 CPU cores and the 128-core Maxwell GPU.

Mask detector running on a Jetson Nano 2GB using AlwaysAI toolkit for transfer learning on a face detection network -- showing a correctly detected un-masked face.

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.

Nvidia As with many other maker boards, the Jetson Nano Developer kit doesn’t ship with a power supply, so you’ll need to bring your own standard 5V/2A-3.5A micro-USB power charger.

The Jetson Nano is NVIDIA's latest machine learning board in its Jetson range. It costs just $99 for a full development board with a quad-core Cortex-A57 CPU and a 128 CUDA core Maxwell GPU. There ...

But it’s cheaper and smaller. The core of the Jetson Nano is a 70mm x 45mm system-on-a-module that features the processor, RAM, and other core components on a 260-pin SODIMM card.