3. The Jetson Xavier NX features a six-core Nvidia Carmel 64-bit CPU subsystem, the company’s Volta GPGPU with 384 CUDA cores and 48 Tensor cores, along with a pair of NVDLA Engines.

The Jetson Xavier NX delivers up to 21 Trillions Operations per Second (TOPS) while using up to 15 watts of power. When needed the board can be set into a 10W mode.

First off, Jetson Xavier NX is tiny—at 70x45 millimeters, it is smaller than the size of a credit card. Second, it packs quite a punch—as much as 14 TOPs, at 10 watts, or 21 TOPS, at 15 watts.

Xavier NX Poised to be a Benchmark Leader in Edge-based Inferencing In related news, Nvidia announced today that its current Xavier SoC was the top edge computing performer in the newly-released ...

Jetson Xavier NX can run multiple neural networks in parallel and processing data from multiple high-resolution sensors simultaneously in a Nano form factor (the 70 mm x 45 mm).

Nvidia has added the compact new Jetson Xavier NX to its Jetson product family. In essence this is a miniature compute-module product, smaller than a credit card at 70 x 45mm, but it boasts ...

The $399 Jetson Xavier NX, revealed Wednesday during the GPU powerhouse's Nvidia GTC conference in Washington, D.C., is the smallest form factor in Nvidia's Jetson computing board lineup ...

The Xavier NX provides many times (around 10x in pure TOPS numbers) the performance in an even smaller form factor. It's also a great option for DIY home video applications or hobby robot projects.

Today NVIDIA introduced Jetson Xavier NX, "the world’s smallest, most powerful AI supercomputer for robotic and embedded computing devices at the edge. "With a compact form factor smaller than the ...

When it comes to the CPU, the Xavier NX is powered by a 6-core Carmel Arm 64-bit CPU, 6MB of L2 and 4MB of L3 cache. The device can support up to six CSI cameras over 12 MIPI CSI-2 lanes. It comes ...

Compared to its predecessor Jetson TX2, NVIDIA explained Jetson Xavier NX delivers more than 10x higher performance and with cloud-native support can handle high AI and compute needs.