Jetson AGX Xavier H01 Kit with Jetson Xavier AGX processor, 32 TOPs, Wi-Fi, Bluetooth, Aluminum case with cooling fan, pre-installed JetPack System

Description

Jetson AGX Xavier H01 Kit is built with Jetson AGX Xavier Module, offering 32 TOPs AI performance as well as a carrier board including PCIe X16, Gigabit Ethernet, 2x USB 3.0, USB 2.0, HDMI, M.2 Key M, and M.2 Key E, 2.4/5GHz Wi-Fi, Bluetooth, (16x) CSI-2 Lanes, UART, 40-Pin header, The kit is pre-installed with JetPack System, cooling fan and aluminum case.  The next generation Jetson AGX Orin Dev kit is also avalible at Seeed, brings 8 times AI performance and the same form factor as the Jetson AGX Xavier Dev kit. 

Jetson AGX Xavier H01 is ideal for robots, drones and other autonomous machines. With this compact AI computer, you can easily create and deploy end-to-end AI autonomous applications for manufacturing, delivery, retail, agriculture, and more.

Supported by NVIDIA JetPack and DeepStream SDKs, as well as CUDA®, cuDNN, and TensorRT software libraries, the kit provides all the tools you need to get started right away. 

Features

• Alternative to NVIDIA Jetson AGX Xavier Developer Kit, built with Jetson AGX Xavier Module and the same form factor carrier board, pre-installed with JetPack System, cooling fan, and aluminum case.
• Deploy neural networks faster at edge devices, running in as little as 10W and delivering up to 32 TOPs AI performance. 
• Powerful architecture: 512-core Volta GPU with Tensor Cores and 8-core ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3.
• Rich interfaces: RJ45, 2Xusb3,1. DP,(16X) CSI-2 Lanes, NVMe, PCIe x1, 2xUSB 3.0, USB 2.0, 2.4/5GHz Wi-Fi, Bluetooth, UART and 40-pin GPIO.
• Sufficient storage for complex AI workloads: 32GB 256-Bit LPDDR4x | 137GB/s, 32GB eMMC 5.1, support NVMe expand storage. 
• Rapid product development, supported by NVIDIA JetPack and DeepStream SDKs, as well as CUDA®, cuDNN, and TensorRT software libraries.

Application

Autonomous Delivery Robot

The on-demand delivery company Postmates that operates across the United States presented a new all-electric autonomous delivery robot equipped with the latest NVIDIA Jetson AGX Xavier module for autonomous machines at GTC Silicon Valley in San Jose.(source: NVIDIA) 

Last-mile delivery: Cainiao Et Lab adopts Jetson AGX Xavier to accelerate the development of autonomous logistic Vehicles(ALVs). It’s equipped with several sensors such as lidars, cameras, GPS, and inertial measurement units (IMUs). (source: NVIDIA) 

Meituan provides an innovative and holistic solution for autonomous delivery, which incorporates an online order platform, dispatch system, and road network logistics with big data optimization. (source: NVIDIA)

Manufacturing

Malamute, our Edge AI partner, has integrated NVIDIA Embedded AGX Xavier, NVIDIA RIVA, and Snap Inc. Ghost’s AR Innovation Lab at their Atlas Communication System, an on-equipment industrial messaging system using natural language processing and spatial computing to improve workplace productivity and process traceability. Read the blog here.

More Application

• Agriculture: Smart farm in crop-dusting, monitoring,
• Optical Inspection: Automatic inspection robot
• Manufacturing: Safety precautions in the factory
• Robotics: Various robot scenarios 
• Logistics: Economical efficiency in transmitting
• Retail: Vending machine
• Service: Convenience for people 
• Smart cities: Supervisory control in building
• Healthcare: Medical support for medical Institutions 

Carrier board overview, compare with Jetson AGX Xavier Dev Kit's Carrier Board

Pinout Comparison with NVIDIA Jetson AGX Xavier Developer Kit

Part List

• We will not include a power cord, please choose a suitable form according to your country.
• We will not include a 3V RTC battery (CR1220)
• We have already installed JetPack 4.6 system, the login password is 'nvidia'.
• The USB-C connector in the kit is supported USB-C 3.0 function with a FPC convert port.
• The connectors in the kit are not quite similar to the official board. We highly recommend to CONFIRM the datasheet or purchasing a sample product first before deploying it in your projects.