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reComputer J2011 - Nvidia Jetson Xavier NX 8GB RAM + 16GB eMMC - Seeedstudio 110061363

Index: SEE-21444
The reComputer Jetson-20-1-H1 device is based on the Nvidia Jetson Xavier NX module with advanced artificial intelligence (AI) systems along with 8 GB of RAM and 16 GB of eMMC memory . A range of expansion modules and industrial peripherals built into the board, as well as thermal management, Jetson reComputer is ready to help accelerate and scale up next-generation AI products by deploying popular DNN models and ML frameworks on the edge and high-performance inference for tasks such as classification and real-time object detection, position estimation, semantic segmentation and natural language processing (NLP).
reComputer J2011 - Nvidia Jetson Xavier NX 8GB RAM + 16GB eMMC - Seeedstudio 110061363
€1,152.90
€937.32 tax excl.
Manufacturer: Nvidia

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Product description: reComputer J2011 - Nvidia Jetson Xavier NX 8GB RAM + 16GB eMMC - Seeedstudio 110061363

The reComputer Jetson-20-1-H1 device is based on the Nvidia Jetson Xavier NX module with advanced artificial intelligence (AI) systems along with 8 GB of RAM and 16 GB of eMMC memory . A range of expansion modules and industrial peripherals built into the board, as well as thermal management, Jetson reComputer is ready to help accelerate and scale up next-generation AI products by deploying popular DNN models and ML frameworks on the edge and high-performance inference for tasks such as classification and real-time object detection, position estimation, semantic segmentation and natural language processing (NLP). Developers can use pre-trained models from Tao Toolkit and deploy them via DeepStream. Jetson Xavier can achieve 172 FPS for PoepleNet - ResNet33 for human recognition, 274 FPS for DashCamNet-ResNet18 for vehicle recognition, and 1126 FPS for FaceDetect-IR-ResNet18 for facial recognition. Test results can be found on NVIDIA®'s DeepStream SDK website .

Jetson Xavier NX allows you to run a wide variety of advanced networks, including full native versions of popular machine learning (ML) frameworks such as TensorFlow, PyTorch, Caffe / Caffe2, Keras, MXNet and others.

reComputer Jetson is compatible with the entire Nvidia Jetson software stack, industry-leading AI platforms, development platforms like Edge Impulse , Always AI , and development tools for Nimbus cloud-based robots.

Jetson reComputer minicomputer reComputer J2011.

Main features of reComputer J2011

  • A small size AI edge device with an embedded Nvidia Jetson Xavier NX module, offering 384 Nvidia Cuda cores providing up to 21 TOPs.
  • Almost identical to the Nvidia Jetson Xavier NX Debeloper Kit, many I / O pins including Gigabit Ethernet port, 4 USB 3.0 Type A ports, HDMI and DP ports.
  • Official Nvidia JetPack software pre-installed, ready for cloud-native applications.
  • It supports a wide range of fast-growing AI applications.
  • Supports real-time robot development, analysis and remote fleet management in Cogniteam Nimbus .
  • It supports Allxon to enable secure OTA and remote device management. 90 day trial period with the code: H4U-NMW-CPK.
  • Can be mounted on the wall thanks to the mounting holes.

Application of reComputer Jetson

The reComputer Jetson series is perfect for building autonomous machines and complex AI system tasks in the field of image recognition, object detection and location, movement recognition, semantic segmentation, video processing and intelligent analysis.

Edge AI into the Wild : UAV, Drone, Wildlife Conservation, Agriculture

Smart cities : traffic, retail, healthcare

Industry : production, logistics, delivery, service

Application of reComputer Jetson Application of reComputer Jetson.
Jetson Xavier NX software Jetson precompilation system.

Pre-compilation system for Edge AI integration

All Nvidia Jetson modules and development kits are supported by the same type of software, so once written application can be run on other Jetson boards. Jetson software is designed to provide end-to-end acceleration for AI applications and reduce time-to-market. The same advanced Nvidia technologies are introduced that are found in data centers and cloud-based edge deployments. Nvidia JetPack includes Nvidia Container Runtime with Docker integration to enable GPU acceleration of containerized applications on the Jetson platform. Jetpack also supports Nvidia Triton Inference Servers to simplify large-scale deployment of AI models.

Kit contents

  • Acrylic cover
  • Aluminum frame
  • Jetson Nano module
  • Radiator
  • Carrier plate
  • 12 V / 2 A power supply (with 5 interchangeable adapter plugs)

Interfaces in reComputer Jetson

The high-quality Seeed reference board for J2011 is equipped with a number of interfaces that can be found in Nvidia Xavier NX, such as HDMI 2.0, Gigabit Ethernet, USB 3.0, USB 2.0, M.2 E and M key connectors, connectors CSI, GPIO, I2C, I2S cameras, fans and other rich peripheral interfaces. It has almost the same functional design and size as the Nvidia Jetson Xavier NX board. Small footprint, rich interfaces and high performance allow to introduce new possibilities to all embedded artificial intelligence and edge systems.

  1. Control and UART connector
  2. MIPI-CSI camera connectors
  3. Optional PoE connector
  4. Display Port and HDMI
  5. DC power connector
  6. CAN
  7. Fan connector
  8. 40-pin conclusions (GPIO, I2C, UART)
  9. 260-pin SODIMM connector
  10. 4x USB 3.0 port
  11. Gigabit Ethernet port
  12. LED
  13. MicroUSB
  14. M.2 KEY E
  15. RTC socket
  16. M.2 KEY M
Board outputs Pins of the Jetson reComputer board.
Specification and comparison
Product reComputer J2012 reComputer J2011 Nvidia Jetson Xavier NX Developer Kit
Module
Xavier NX (development version)
Xavier NX (Non-Development Version)
AI performance
21 TOPS
GPU
384-core Nvidia Volta chip
Processor
Hexa-Core Nvidia Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3
RAM 16 GB 128-bit LPDDR4x @ 59.7GB / s 8 GB 128-bit LPDDR4x @ 59.7GB / s 8 GB 128-bit LPDDR4x @ 51.2GB / s
Internal storage
16 GB eMMC
MicroSD
Video codec
2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265)
2x 4K60 | 4x 4K30 | 10x 1080p60 | 20x 108p30 (H.264)
2x 4K @ 30 | 6x 1080p @ 60 | 14x 1080p @ 30 (H.265 / H.264)
Video decoder
2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265)
2x 4K60 | 6x 4K30 | 10x 1080p60 | 22x 1080p30 (H.264)
2x 4K @ 60 | 4x 4K @ 30 | 12x 1080p @ 60
32x 1080p @ 30 (H.265) | 2x 4K @ 30 | 6x 1080p @ 60
16x 1080p @ 30 (H.264)
Ethernet connection
1x RJ45 Gigabit Ethernet (10/100/1000)
USB 4x USB 3.0 type A connector
1x microUSB port host
4x USB 3.0 type A connector
1x microUSB port for power and host
Camera connector
2x CSI (15-pin, 1 mm pitch, MIPI-CSI-2)
Display connector
1x HDMI type A
1x DP
Cooling
1x fan connector (5V PWM)
M.2 key E 1x M.2 key E 1x M.2 key E 1x M.2 E key (WiFi / BT)
M.2 key M 1x M.2 M key 1x M.2 M key 1x M.2 M key
RTC
1x RTC socket
-
GPIO
1x 40-pin
Power
DC 19V / 4.7A jack (90W max.)
Dimensions 130 x 120 x 50 mm 103 x 90.5 x 31 mm
UC - Core NVIDIA Carmel
UC - RAM 8 GB
UC - core 6. Hexa Core
UC - Digital pins 40
UC - External memory eMMC 16GB
UC - Ethernet yes
UC - USB 4x USB
UC - HDMI yes
UC - I2C yes
UC - UART yes
UC - Camera interface yes
UC - Linux yes

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