NVIDIA says the Jetson Nano “delivers 472 GFLOPS of computer performance” while consuming 5 to 10 watts of power. The system also features 5GB of LPDDR4-1600 RAM.

At just $59 at retailers like Amazon, Jetson Nano brings NVIDIA’s custom hybrid Arm core CPU and Maxwell GPU technologies down to a Raspberry Pi 4 price point that will be that much more ...

Getting started is pretty simple. The kit NVIDIA sent us included the Jetson Nano 2 GB SoM, a dev board, a USB-C power supply, and a 64 GB micro SD card.

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 ...

While the $499 price tag of the Jetson Orin Nano Developer Kit may be a bit steep for hobbyists, there’s no question that you get a lot for your money.

Named the Jetson Nano, the CUDA-X computer delivers 472 Gflop of compute power and 4GB of memory and can operate on 5 watts of power.

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.

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 ...

And it is incredibly power-efficient, consuming as little as 5 watts.” For more details on both the new development kit and NVIDIA Jetson Nano mini PC jump over to the official company website.

Jetson Nano is not only the cheapest but also the most developer friendly. With a form factor that looks like Raspberry Pi, the computing device is powered by a quad-core ARM A57 processor that ...

The new Jetson Orin Nano features 6 ARM Cortex-A78 CPU cores that can run at speeds up to 1.5 GHz, LPDDR5 memory, and a 625 GHz NVIDIA GPU with up to 1024 CUDA cores and up to 32 third-gen Tensor ...

Nvidia announced the upcoming release of the Jetson Orin Nano, a system-on-module (SOM) that will power up the next generation of entry-level AI and robotics, during its GTC 2022 keynote today.