?ROS advanced development materials updated? In September 2023,ROS1 image processing, docker, ROS2 advanced courses,ROS2 visual processingand other content updates have been completed to help beginners learn ROS programming. ?Revolutionizing AI with Unmatched Performance?The Jetson Orin NX system module adopts the Ampere architecture GPU, a new generation of deep learning and vision accelerators, high-speed I/O, and fast memory bandwidth to support multiple AI application processes. Granular structured sparsity to improve the operating throughput of Tensor Core, and can use larger and more complex AI model development solutions in natural language understanding, 3D perception and multi-sensor fusion. ?Revolutionize the Industry?Jetson Orin NX 16 GB modules deliver unmatched performance and efficiency for small, low-power robotics and autonomous machines, making them ideal for drones, handheld devices, and more. The module can be easily used in advanced applications in manufacturing, logistics, retail, agriculture, medical and life sciences, and comes in a highly compact and energy-efficient package. ?Huge Leap in Performance?Orin NX is a groundbreaking AI product, offering unparalleled performance and compact size. It outperforms AGX Xavier by 3x, Xavier NX by 5x, and nano B01 by a staggering 200x. With its impressive capabilities, Orin NX transforms the world of AI and robotics, making it accessible to all. ?Packing List Basis Kit:Orin NX 8GB16GB module*1 (core module and carrier board installed,4G or 8G Optional), power adapter *1, antenna *2, wireless network card *1 (installed), 128G/256G solid state *1, DP to HDMI cable *1, Type-C Cable *1, acrylic case *1;?Advanced Kit: Basis Kit+ IMX219-77°camera *1, camera case *1;?Mini PC Kit:Basis Kit- acrylic case+ Cube Jetson Mini Case+USB camera;?Ultimate Kit:Mini PC Kit+ 15.6in display screen+Wire-less keyboard mouse set. ?Core Parameters AI Perf: 70 TOPS?GPU: 1024-core N-VI-DIA Ampere architecture GPU with 32 Tensor Cores?CPU: 6-core Arm Cortex-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3?Memory: 8GB 128-bit LPDDR5?Storage: Supports external NVMe.
