To support critical embedded AI systems such as drones, portable medical devices, smart cameras, high-resolution sensors, and other IoT embedded systems, NVIDIA today introduced Jetson Xavier NX, the world’s smallest, most powerful AI supercomputer for embedded and edge systems.
The energy-efficient Jetson Xavier NX delivers server-class performance with up to 21 TOPS, perfect for running modern AI workloads, with low power consumption.
For companies already building embedded machines, Jetson Xavier NX runs on the same CUDA-X AI software architecture as all Jetsons, ensuring rapid time to market and low development costs.
Jetson Xavier NX is supported by NVIDIA JetPack SDK, 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 6 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 new system is compatible with many peripherals and sensors. It is also pin-compatible with Jetson Nano, allowing seamless upgradability between Nano and NX systems.
Jetson Xavier NX also supports all major AI frameworks including TensorFlow, PyTorch, MxNet, Caffe, and others.
Developers can begin application development today using the Jetson AGX Xavier Developer Kit with a software patch to emulate Jetson Xavier NX.