Product description: reComputer J2022 - Nvidia Jetson Xavier NX 16 GB RAM + 128 GB SSD - without power supply - Seeedstudio 110061483
reComputer J2022 is a miniature but extremely efficient edge solution for building AI systems. Thanks to the use of the Jetson Xavier NX module (Volta GPU, 48 tensor cores) and support for up to 21 TOPS , it allows the implementation of computer vision, NLP or video analysis tasks without the need to send data to the cloud. The minicomputer has a pre-installed Linux system with JetPack 4.6.1 , which shortens the implementation and testing time. The solid aluminum housing and fan ensure stable operation even in demanding industrial conditions. Desktop or wall mounting increases the flexibility of applications.
reComputer J2022 - Nvidia Jetson Xavier NX 16GB RAM + 128GB SSD - no power supply - Seeedstudio 110061483.
The J2022 has a factory-installed JetPack system.Key Features of the reComputer J2022
- AI Performance: Up to 21 TOPS of deep learning compute on device with Volta GPU and tensor cores
- Compact size: 130 x 120 x 58.5 mm, aluminum housing + active cooling
- Rich connectors: 4x USB 3.1, 1x USB Type-C (Device mode), HDMI 2.1, DisplayPort, GbE, 2x CSI, CAN, 40-pin GPIO, 12-pin control connector / UART, RTC
- Expandable Storage: M.2 Key M SSD (128GB included), M.2 Key E port for WiFi/Bluetooth cards
- Ready-made software: JetPack 4.6.1, support for CUDA, TensorRT, cuDNN and popular AI frameworks
- Flexible deployments: OTA support, remote management via Allxon and Balena
Edge AI in practice
Edge AI is data processing and analysis directly on the edge device, which reduces latency and network bandwidth consumption . With reComputer J2022, it is possible to locally process images, analyze video in real time and implement deep learning models in factories, transport, healthcare or monitoring systems. Practical applications include object detection, image segmentation, analysis of customer flow in stores or autonomous mobile robots operating without the need for a constant connection to the cloud.
The Jetson module can be used for practical use in the field.
| Technical Specifications and Comparison reComputer J2022 / J2021 / Xavier NX Developer Kit | |||
|---|---|---|---|
| Product | reComputer J2022 | reComputer J2021 | Nvidia Jetson Xavier NX Developer Kit |
| Module | Jetson Xavier NX 16GB | Jetson Xavier NX 8GB | Xavier NX (non-dev version) |
| AI Performance | |||
| GPU | |||
| Processor | |||
| RAM memory | 16GB 128-bit LPDDR4x @ 59.7GB/s | 8GB 128-bit LPDDR4x @ 59.7GB/s | 8GB 128-bit LPDDR4x @ 51.2GB/s |
| Internal memory | 128GB SSD | 16GB eMMC 5.1 | microSD |
| Video Codec | 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 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 connector | |||
| USB | 4x USB 3.0 Type-A connector 1x USB Type-C host port | 1x microUSB host port | 1x microUSB port for power and host |
| Camera connector | |||
| Display connector | 1x DP | ||
| Cooling | |||
| M.2 key E | 1x M.2 key E (WiFi/BT) | ||
| M.2 key M | |||
| RTC | 2-pin RTC socket | 2-pin RTC socket | - |
| GPIO | |||
| Power supply | DC socket 19V/4.7A (max. 90W) | ||
| Dimensions | 103 x 90.5 x 31mm | ||
