Jetson Nano module 4GB, Al kućište, instaliran JetPack OS

Jetson Nano module 4GB, Al kućište, instaliran JetPack OS, Nvidia Jetson-10-1-H0, reComputer J1020

J1020 is a hand-size edge AI box built with Jetson Nano module, rich set of IOs, aluminium case, passive heatsink, pre-installed JetPack System, ready for your next AI application development and deployment.

 
Product Details

Note

• Name change: ‘reComputer Jetson-10-1-H0’has changed to ‘reComputer J1020’.
• 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 (flash to eMMC or SSD) under Recovery mode, please check our wiki (A206 part)
• We’d like to hear from you, welcome to join our Discord channel to share your thoughts (Jetson edge AI)

Note 

• We will not include a 3V RTC battery (CR1220）

• 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, 4 USB 3.0 Type-A ports, HDMI port and DP 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 series for Jetson are compact edge computers built with NVIDIA advanced AI embedded systems: J10 (Nano 4GB) and 20 (Xavier NX). With rich extension modules, industrial peripherals, thermal management, reComputer for Jetson is ready to help you accelerate and scale the next-gen AI product 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 for 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.

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.

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 cooperation@seeed. cc for more partnership ecosystem information.

Part List

1 x Acrylic Cover

1 x Aluminium Frame 

1 x Jetson Nano module 

1 x Heatsink 

1 x Carrier board 

1 x 12V/2A Power Adapter (with 5 interchangeable adapter plugs）


ECCN/HTS

HSCODE         8471419000
USHSCODE     8471490000
UPC
FCC                  1
CE                    1

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