NVIDIA launched the Jetson Xavier NX embedded System-on-Module (SoM) at the end of last year. It is pin-compatible with the Jetson Nano SoM and includes a CPU, a GPU, PMICs, DRAM, and flash storage.

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 ...

According to Nvidia, the Jetson Xavier NX opens the door for embedded edge computing devices that demand increased performance but are constrained by size, weight, power budgets or cost. These ...

Nvidia continues to make major strides in delivering AI to devices of all sizes. Its new Xavier NX module squeezes large-device performance into a tiny, low-power, form factor at a decent price.

Nvidia Jetson Xavier NX by the Numbers Built on its Volta architecture, the Jetson Xavier NX is a massive performance upgrade compared with the TX2 and becomes a bigger-sibling to the Jetson Nano.

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.

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 ...

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.

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 biggest benefit is a massive amount of ML inference performance with a mature toolchain.” Nvidia said the Jetson Xavier NX module will be available from March 2020, priced at $399.

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.