reComputer Jetson-10-1-A0 with Jetson Nano module, M.2 Key E Slot, Type-C connectors, Aluminium case, pre-installed JetPack System
Jetson-10-1-A0 is a hand-size edge AI box built with Jetson Nano production module, rich set of IOs, aluminum case, passive heatsink, pre-installed JetPack System, ready for your next AI application development and deployment.
- We have already installed JetPack 4.6 system in the reComputer and you can directly use it by powering in.
- If you want to get started or even reflash Jetpack system under Recovery mode, please check our wiki.
- We'd like to hear from you, welcome to join our Discord channel to share your thoughts (Jetson edge AI)
- We will not include a RTC battery (2-pin）
Hand-size edge AI device built with NVIDIA Jetson Nano Production Module, delivering 128 NVIDIA CUDA® cores delivers 0.5 TFLOPs (FP16).
- Nearly the same design as Jetson Nano Developer Kit’s reference carrier board, rich IOs including Gigabit Ethernet port, USB 3.0 & USB 2.0 ports, HDMI port.
- Pre-installed NVIDIA official JetPack software, ready for cloud-native application.
- Support a wide range of AI applications fast building with our ecosystem partners.
- Support real-time robotic development, analysis, and remotely fleet management at Cogniteam Nimbus.
- Support Allxon to enable secure OTA and remote device management. Unlock 90 days free trial with code H4U-NMW-CPK.
- Able to mount on the wall with mounting holes on the back.
reComputer Jetson series are compact edge computers built with NVIDIA advanced AI embedded systems: Jetson-10 (Nano 4GB) and Jetson-20 (Xavier NX). With rich extension modules, industrial peripherals, thermal management, reComputer Jetson is ready to help you accelerate and scale the next-gen AI product development by deploying popular DNN models and ML frameworks to the edge and inferencing with high performance, for tasks like real-time classification and object detection, pose estimation, semantic segmentation, and natural language processing (NLP).
Jetson Nano: Deep Learning Inference Performance
Reference: NVIDIA, Performance of various deep learning inference networks with Jetson Nano and TensorRT, using FP16 precision and batch size 1
Developers can use highly accurate pre-trained models from TAO Toolkit and deploy with DeepStream. Jetson Nano can achieve 11 FPS for PeopleNet- ResNet34 of People Detection, 19 FPS for DashCamNet-ResNet18 of Vehicle Detection, and 101 FPS for FaceDetect-IR-ResNet18 of Face Detection. Benchmark details can be found on NVIDIA®’s DeepStream SDK website.
Jetson Nano can run a wide variety of advanced networks, including the full native versions of popular ML frameworks like TensorFlow, PyTorch, Caffe/Caffe2, Keras, MXNet, and others.
reComputer Jetson series is compatible with the entire NVIDIA Jetson software stack, industry-leading AI frameworks, development platforms like Edge Impulse, AlwaysAI, and cloud-based robot development tool Nimbus.
Application: next-gen autonomous machine at the edge
reComputer Jetson series is ideal for building autonomous machines and complex AI system tasks of image recognition, object detection and localization, pose estimation, semantic segmentation, video processing, and intelligent analytics.
Edge AI into the Wild: UAV, Drone, Wildlife protection, Agriculture
Smart City: Traffic, Retail, Healthcare
Industry 4.0: Manufacturing, Logistics, Delivery, Service
Prebuild system for edge AI integration
All NVIDIA® Jetson™ modules and developer kits are supported by the same software stack, enabling you to develop once and deploy everywhere. Jetson Software is designed to provide end-to-end acceleration for AI applications and accelerate your time to market. We bring the same powerful NVIDIA technologies that power data center and cloud deployments to the edge.
NVIDIA JetPack includes NVIDIA Container Runtime with Docker integration, enabling GPU accelerated containerized applications on Jetson platform. Jetpack also brings support for NVIDIA Triton™ Inference Server to simplify the deployment of AI models at scale.
NVIDIA Jetson powered Edge AI platform at Seeed
|Product||reComputer Jetson-10-1-A0||reComputer Jetson-10-1-H0||NVIDIA Jetson Nano Developer Kit-B01|
|Module||Nano (production version)||Nano (not production version)|
|AI Perf||472 GFLOPS|
|GPU||128-core NVIDIA Maxwell™|
|CPU||Quad-core ARM A57 @ 1.43 GHz|
|Memory||4GB 64-bit LPDDR4 25.6GB/s|
|Storage||16 GB eMMC||MicroSD (Card not included)|
|Video Encoder||4K30 | 2x1080p60 | 4x1080p30 | 4x720p60 | 9x720p30
(H.265 & H.264)
|4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265)|
|Video Decoder||4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60
(H.265 & H.264)
|4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265)|
|Gigabit Ethernet||1*RJ45 Gigabit Ethernet Connector (10/100/1000)|
|USB||1 * USB 3.0 Type A Connector;
2 * USB 2.0 Type A Connector;
1 * USB Type C for device mode;
1 * USB Type C for 5V power input
|4 * USB 3.0 Type A Connector；
1 * Micro-USB port for device mode;
|4 * USB 3.0 Type A Connector;
1 * Micro-USB port for 5V power input or for device mode
|CSI Camera Connect||2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )|
|Display||1*HDMI Type A||1*HDMI Type A;
|1*HDMI Type A;
|FAN||1* FAN (5V PWM)|
|M.2 KEY E||1*M.2 Key E||1*M.2 Key E (Disabled)||1*M.2 Key E|
|M.2 KEY M||-||1*M.2 Key M||-|
|Multifunctional port||1* 40-Pin header|
|Power||USB-Type C 5V⎓3A；||DC Jack 12V/2A||DC Jack 5V⎓3A；
|Mechanical||130 mm x 120 mm x 50 mm (with case)||130mm x120mm x 50mm (with case)||100 mm x 80 mm x 29 mm|
Interface-rich reference carrier board:
Nearly the same functional design as Jetson Nano 2GB Developer Kit
Seeed reference carrier board for Jetson-10-1-A0 is a high-performance, interface rich NVIDIA Jetson Nano compatible carrier board, providing HDMI 2.0, Gigabit Ethernet, USB 3.0, USB 2.0, CSI camera, GPIO, I2C, I2S, fans, and other rich peripheral interfaces. It has nearly the same functional design and size as the carrier board of Nvidia Jetson Nano 2GB Developer Kit | NVIDIA Developer. Take advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capability to all your embedded AI and edge systems.
Desktop, Wall Mount, or fit in anywhere
With an overall dimension of 130mm*120mm*50mm, it is only around 1/10 of the size of an ordinary computer case which makes it possible to fit in edge AI scenarios. The back screw holes allow you to hang the product as you need. We also provide other editions case like blue, silver and silver mental, whose stackable structure allows you to stack more middle layers to create rooms very easily.
Work with Seeed Ecosystem
Deploying an AI idea can be faster, flexible, even scalable for everyone. Seeed Jetson Platform targets on helping educators, developers and enterprises deploy ML in the real world. By consolidating Seeed’s best-in-class hardware, cutting-edge technology from our software partners and all developers from the community, we aim at emerging all kinds of AI scenarios in our open-source platform to faster industry digital transformation. We are looking for partners to join our ecosystem together to deliver solutions to different industries together. Please contact [email protected] for more partnership ecosystem information.
1. Global (3)
2. Europe (9)
• Comet Electronics (Bulgaria)
• Go Tronic S.A.S.(France)
• Tinytronics (The Netherlands)
• Antratek Electronics (The Netherlands, EU)
• Totonic (Switzerland, EU)
• Cenval S.L. (Spain)
• Zonepi (Czech Republic)
• Botland (Poland)
• Unmanned Tech (UK)
3. Asia (9)
• Ozdisan Electronics (Turkey)
• Macfos (India)
• Hennes (Taiwan, China)
• Switch Science (Japan)
• Akizuki 秋月電子通商(Japan)
• Marutsu (Japan)
• DigiWare (Indonesia)
• GJ Tech (Thailand)
• Cytron (Malaysia)
4. Oceania (1)
• PB Tech (New Zealand)
1 x Acrylic Cover
1 x Aluminium Frame
1 x Jetson Nano module
1 x Heatsink
1 x Carrier board