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

SKU
110991666
Rating:
100 % of 100

The Jetson AGX Xavier H01 Development Kit is powered by NVIDIA Jetson AGX Xavier processor which applies AI performance and delivers up to 32 Tera Operations Per Second(TOPs) yet costs less than 30W. It is an ideal solution to agriculture, optical inspection, manufacturing, robotics, logistics, retail, service, smart cities, and healthcare.

Check out more NVIDIA Jetson-powered edge devices comparison!

reComputer J2021 built with Jetson Xavier NX

$1,499.00
Out of stock
  • 10+: $1,459.00

PRODUCT DETAILS

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

 

DEVELOPER KIT I/OS

Jetson AGX Xavier Developer Kit Jetson AGX Xavier H01 Kit
Developer Kit I/Os Jetson AGX Xavier Module Interface Jetson AGX Xavier Module Interface
PCIe X16 x8 PCIe Gen4/x8 SLVS-EC x8 PCIe Gen4/x8 SLVS-EC
RJ45 Gigabit Ethernet Gigabit Ethernet
USB-C 2x USB 3.1, DP (Optional), PD (Optional) Close-System Debug and Flashing Support on 1 Port 20PIN 0.5mm ZIF FPC(achieve USB-C 3.0 with corresponding convert ports)
Camera Connector (16x) CSI-2 Lanes (16x) CSI-2 Lanes
M.2 Key M NVMe NVMe
M.2 Key E PCIe x1 + USB 2.0 + UART (for Wi-Fi/LTE) / I2S / PCM PCIe+UART+I2S/PCM (pre-installed Wi-Fi+BT:8265.NGWMG.NV 949399)
40-Pin Header UART + SPI + CAN + I2C + I2S + DMIC + GPIOs UART + SPI + CAN + I2C + I2S + DMIC + GPIOs
HD Audio Header High-Definition Audio -
eSATAp + USB3.0 Type A SATA Through PCIe x1 Bridge (PD + Data for 2.5-inch SATA) + USB 3.0 USB3.0 Type A*2
HDMI Type A HDMI 2.0 HDMI 2.0
uSD/UFS Card Socket SD/UFS TF Card Socket

NVIDIA Jetson-powered Edge AI platform at Seeed

At Seeed, you will find everything you want to work with NVIDIA Jetson Platform – official NVIDIA Jetson Dev Kits, Seeed-designed carrier boards, and edge devices, as well as accessories.

Seeed will continue working on the Jetson product line and will be ready to combine our partners’ unique technology with Seeed’s hardware expertise for an end-to-end solution. 

Join Seeed as Edge AI Partner, Deliver Real-World AI Together  

Seeed’s Edge AI platform provides devices, carrier boards, peripherals, software tools, and ML solutions. Seeed is NVIDIA’s official reseller and ecosystem hardware partner. By consolidating our best-in-class hardware and and cutting-edge technology from our software partners and the community, we aim at helping both developers and enterprises deploy ML in the real world across industries. Contact us at [email protected]

We are looking forward to working with AI experts, software enterprises, and system integrators: 

  • Integrating your unique technology, resell or co-brand licensed solution with us. 
  • Building next-gen AI products powered by the NVIDIA Jetson module, one-stop bringing your product to the market with Seeed’s manufacturing, fulfillment, and distribution.  
  • Working with Seeed Amazing Ecosystem Partners together, unlocking more AI possibilities.

Note

  • The jetpack system comes pre-loaded with the drivers needed to run the product. If you need to install your own image, please reinstall the driver to make the USB port and SD card slot work.

Part List

Jetson Xavier AGX H01 Kit x1
19V/4.74A Power Adapter x1
ZYJB (antenna) x2
  • 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.

ECCN/HTS

HSCODE 8517180050
USHSCODE 8543708800
UPC
EUHSCODE 8543709099
COO CHINA

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REVIEWS

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  1. Documentation
    100%
    Product Quality
    100%
    from order view
    Had interesting discussion with seeed staff in mid 2021 about possibility of flashing the (then cutting edge) Jetpack 5.1.2. Good support experience.
    By H S Helson GO
  2. Product Quality
    100%
    Documentation
    100%
    from order view
    This product is good. Delivery is so fast.
    By Anonymous
  3. Product Quality
    100%
    Documentation
    100%
    from order view
    This user did not leave any comments.
    By Nic Borensztein
  4. Product Quality
    100%
    Documentation
    100%
    from order view
    Thank you for the product.
    I am planning to buy it again after receiving it.
    I took out one star because the delivery was late.
    Thank you.
    By Anonymous

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