NVIDIA unveils AI supercomputer for robotic, embedded devices
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Firm calls it world’s smallest, most powerful AI supercomputer for computing devices at the edge
NVIDIA, inventor of the graphics procession unit (GPU) has unveiled what it is calling 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 size of a credit card, the energy-efficient Jetson Xavier NX module delivers server-class performance up to 21 TOPS for running modern AI workloads, and 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.
“AI has become the enabling technology for modern robotics and embedded devices that will transform industries,” said Deepu Talla, vice president and general manager of Edge Computing at NVIDIA. “Many of these devices, based on small form factors and lower power, were constrained from adding more AI features. Jetson Xavier NX lets our customers and partners dramatically increase AI capabilities without increasing the size or power consumption of the device.”
Jetson Xavier NX 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). For companies already building embedded machines, Jetson Xavier NX runs on the same CUDA-X AI software architecture as all Jetson offerings, ensuring rapid time to market and low development costs.
As part of NVIDIA’s one software architecture approach, Jetson Xavier NX is supported by NVIDIA JetPack software development kit, which is a complete AI software stack that can run modern and complex AI networks, accelerated libraries for deep learning as well as computer vision, computer graphics, multimedia and more.
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 will be available in March from NVIDIA’s distribution channels for companies looking to create high-volume production edge systems.
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