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.

Each of the NVIDIA Jetson Nano modules uses 10W of power, while the desktop supercomputer has USB, HDMI, and Ethernet ports as well as M.2 SSD support and 4GB of LPDDR4 memory, and 16GB of eMMC ...

Students from Southern Methodist University in Dallas built a "baby supercomputer" from 16 Jetson Nano modules. The team will be showing off its mini cluster at the SC22 supercomputing conference ...

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’s Jetson series has been popular for machine-learning (ML) applications, but the modules have been a bit large. The new Jetson Nano (Fig. 1) lets developers pack the performance of a ...

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 ...

At GTC 2019, NVIDIA's Jenson Huang introduced the Jetson Nano Developer Kit (left) and Jetson Nano module (right), the smallest Jetson family module. Yes, many cloud-based solutions will be used ...

While the previous Jetson Nano brought a 128-core Maxwell GPU to the party, the new Orin Nano is packing NVIDIA’s Ampere architecture with 1,024 CUDA cores and 32 Tensor cores.

The Nano is capable of driving dual displays through single DisplayPort and HDMI ports, it has an microSD card slot for storage, and a somewhat hidden M.2 Key E connection for expansion modules ...

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.