NVIDIA has launched what it claims to be the world’s smallest, most powerful AI supercomputer for robotic and embedded computing devices at the edge.

The new Jetson Xavier NX module delivers up to 14 TOPS (at 10W) or 21 TOPS (at 15W), running multiple neural networks in parallel and processing data from multiple high-resolution sensors simultaneously in a Nano form factor (70x45mm), the company said. It consumes as little as 10 watts of power.

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 include small commercial robots, drones, intelligent high-resolution sensors for factory logistics and production lines, optical inspection, network video recorders, portable medical devices and other industrial IoT systems.

For companies already building embedded machines, Jetson Xavier NX runs on the same CUDA-X AI software architecture as all Jetson offerings.

Jetson Xavier NX module specifications:

GPU: NVIDIA Volta with 384 NVIDIA CUDA cores and 48 Tensor Cores, plus 2x NVDLA
CPU: 6-core Carmel Arm 64-bit CPU, 6MB L2 + 4MB L3
Video: 2x 4K30 Encode and 2x 4K60 Decode
Camera: Up to six CSI cameras (36 via virtual channels); 12 lanes (3×4 or 6×2) MIPI CSI-2
Memory: 8GB 128-bit LPDDR4x; 51.2GB/second
Connectivity: Gigabit Ethernet
OS Support: Ubuntu-based Linux
Module Size: 70x45mm

The Jetson Xavier NX module is priced at $399. Nvidia said it will be available in March from its distribution channels.

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