Sharper AI analytics at the edge as NVIDIA launches ever smaller Jetson
Latest NVIDIA Jetson release pushes AI out to the Edge
Following the Jetson Nano dev kit released earlier this year which was NVIDIA’s lowest cost AI computer at US$99, the company today introduced the Jetson Xavier NX.
What is it?
NVIDIA is calling it “the world’s smallest, most powerful AI supercomputer for robotic and embedded computing devices at the edge.”
Smaller than a credit card, the Jetson Xavier NX module delivers up to 14 tera operations per second or also conveyed as 14 TOPS (at 10W) or 21 TOPS (at 15W), for running what the company calls modern AI workloads over 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.
What can it do?
With an ever-shrinking form factor, the 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.
Partners are already expressing interest
Lee Ritholtz, director and chief architect of Applied Artificial Intelligence at Lockheed Martin said, “With Jetson Xavier NX’s performance, small form factor and low power, we will be able to do more processing in real-time at the edge than ever before.”
“Our goal is to dramatically increase the quality and accuracy of our optical inspection system and accelerate our move towards industry 4.0,” said Otsuka Hiroshi, CEO of Musashi Seimitsu, “NVIDIA Jetson Xavier NX gives us the compute capabilities to improve our visual inspection capabilities without increasing the size and power of our optical inspection system.”
Deepu Talla, VP and GM of Edge Computing at NVIDIA said that AI has become the enabling technology for modern robotics and embedded devices that will transform industries.
“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,” he added.
Jetson Xavier NX module specifications:
- GPU: NVIDIA Volta architecture 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 (3x4 or 6x2) MIPI CSI-2
- Memory: 8GB 128-bit LPDDR4x; 51.2GB/second
- Connectivity: Gigabit Ethernet
- OS Support: Ubuntu-based Linux
- Module Size: 70x45mm
Availability and Price
The Jetson Xavier NX module will be available in March 2020 at US$399.
For more insights into NVIDIA’s push into AI, check out some of our past content:
Read Next (2): NVIDIA outs a US$99 AI computer, the Jetson Nano
Read Next (4): Powering the AI revolution