Jetson Xavier NX is perfect for high-performance AI systems like commercial robots, medical instruments, smart cameras, high-resolution sensors, automated optical inspection, smart factories, and other AIoT embedded systems.
Jetson Xavier NX now features cloud-native support that lets developers build and deploy high-quality, software-defined features on embedded and edge devices. Pre-trained AI models from NVIDIA NGC and the TAO Toolkit give you a faster path to trained and optimized AI networks, while containerized deployment to Jetson devices allows flexible and seamless updates. Jetson Xavier NX accelerates the NVIDIA software stack with more than 10X the performance of its widely adopted predecessor, Jetson TX2.
ou can build fast AI projects with NVIDIA pre-trained models specially built for various industry examples, and accelerate the process model from the PoC to production. It can be easily used in common computer vision examples to collect statistics and statistics in dense artificial intelligence areas statistics. For example, detecting personnel, detecting and diagnosing vehicles, detecting and identifying license plates at toll gates, parking management, patient movement monitoring in medical and health institutions, etc. Yes, you can use it to monitor the driver’s fatigue driving state like below.
Seeed is glad to partner with Cogniteam, aiming at delivering the easiest ever robot development process, from prototyping to production, including configuration, testing, deployment, and operations management. Try Nimbus with Seeed’s Jetson Platform carrier boards and Jetson Sub kit, attach sensors such as RP Lidar and cameras to build your create your robotic application from scratch. You can also seamlessly connect your existing ROS projects to Nimbus. Based on the open-source Robot Operating System (ROS), Nimbus is truly a ‘plug and play’ solution.
Jetson Xavier NX supports multiple power modes, including low-power modes for battery-operated systems, and delivers up to 14 TOPs for AI applications in as little as 10 W. This leaves more of your power budget for sensors and peripherals, while still letting you use the entire NVIDIA software stack. You now have the performance to run all modern AI networks and frameworks with accelerated libraries for deep learning, computer vision, computer graphics, multimedia, and more.
- Smart home
- Computer Vision
- Sentiment Analysis
- Robotics Application
- Powered by the6-core NVIDIA Carmel ARMv8.2 64-bit CPU 6MB L2 + 4MB L3
- 384-core NVIDIA Volta™ GPU with 48 Tensor Cores provides 21 TOPS AI performance
- Rich peripherals including Gigabit Ethernet port, 4 USB 3.1 Type-A ports, HDMI port and DP port
- Pre-installed Wi-fi module and antenna
- Pre-installed 128GB (M.2 key M) SSD
- Mounting design
- Easy to install, upgrade and maintain with ease of access to the internal components after opening the enclosure
- Pre-installed NVIDIA official JetPack software, ready to use！
- Compatible with Nimbus: connect your ROS project to the cloud
- Compact design for a mini PC with an overall dimension of 130mm x 120mm x 50mm
1 x Acrylic Cover
1 x Aluminum Frame
1 x Jetson Xavier NX module
1 x Heatsink
1 x Carrier board
1 x 19V/4.74A (MAX 90W) Power Adapter (Power cable not included)
2 x Antennas
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