NVIDIA Jetson: advanced embedded AI for autonomous machines
NVIDIA® Jetson™ brings accelerated AI performance to the Edge in a power-efficient and compact form factor(smaller than 100mm x 100mm). The Jetson family of modules all use the same NVIDIA CUDA-X™ software, and support cloud-native technologies like containerization and orchestration to build, deploy, and manage AI at the edge. Together with NVIDIA JetPack™ SDK, Jetson modules will help you develop and deploy innovative products across all industries.
Seeed is a reseller of NVIDIA embedded systems and a member of the NVIDIA Jetson ecosystem for edge AI. We offer different form factors of NVIDIA Jetson module-powered full system and carrier boards, integrating software into AI solutions spanning many industries. Offering a one-stop product experience, Seeed speeds time to market for customers by handling all licensing, integration, manufacturing, fulfillment, and distribution. You can also download our NVIDIA Jetson series catalog to have an overview. In this article, let’s dive into:
- Jetson Module comparison
- Seeed’s Jetson series full system products line up
- Getting started with Jetson: tutorial and deep learning AI course
- Development tools for building AI
- Jetson-powered use case and application
Compare NVIDIA Jetson module
Compare Seeed’s NVIDIA Jetson Module powered full system and carrier boards.
- Jetson Nano B01 Dev Kit vs. reComputer J1010, J1020
- Jetson Xavier NX Dev Kit vs. reComputer J2011, J2012, J2021
- Jetson Xavier NX Dev Kit vs. reComputer J2011, J2012, J2021
- Seeed Jetson Carrier boards comparison
Jetson Module powered full system Lineup
Jetson AGX Orin Series
Jetson AGX Orin Dev Kit
Bring your next-gen products to life with the world’s most powerful AI computer for energy-efficient autonomous machines. Up to 275 TOPS and 8X, the performance of the last generation for multiple concurrent AI inference pipelines and high-speed interface support for multiple sensors make this the ideal solution for applications from manufacturing and logistics to retail and healthcare.
reServer with Jetson AGX Orin 64GB
reServer Jetson is a powerful inference server on the edge powered by Jetson AGX ORIN 64GB, which delivers up to 275 TOPs AI performance. It provides a high-speed 10-Gigabit Ethernet port and supports hybrid connectivity including 5G, LoRa, BLE and WiFi. reServer Jetson with pre-installed Triton Inference server is ready for fast and scalable AI in production and concurrent model execution.
Also check out our blog Compare NVIDIA Jetson AGX Orin with AGX Xavier: 8x AI performance, in-advance Ampere GPU, CPU, Memory & Storage
Jetson Orin NX Series
Jetson Orin NX modules deliver up to 100 TOPS of AI performance in the smallest Jetson form factor, with power configurable between 10W and 25W. The Orin NX Series is form factor compatible with the Jetson Xavier NX series and delivers up to 5x the performance, or up to 3X the performance at the same price.
Jetson AGX Xavier
The Jetson Xavier AGX 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.
Jetson Xavier NX
Xavier NX can achieve 172 FPS for PeopleNet- ResNet34 of People Detection, 274 FPS for DashCamNet-ResNet18 of Vehicle Detection, and 1126 FPS for FaceDetect-IR-ResNet18 of Face Detection. Benchmark details can be found on NVIDIA®’s DeepStream SDK website.
Jetson Nano
reComputer Nano/NX: real world AI at the Edge, starts from $199
Built with Jetson Nano 4GB/ Xavier NX 8GB/16GB
- Edge AI box fit into anywhere
- Embedded Jetson Nano/NX Module
- Pre-installed Jetpack for easy deployment
- Nearly same form factor with Jetson Developer Kits, with rich set of I/Os
- Stackable and expandable
nvidia catalog information
Check more NVIDIA Jetson Production module-powered edge devices, compatible carrier boards, and add-ons at Seeed.
nvidia catalog information
NVIDIA® Jetson Module Compatible Carrier Boards Comparison
Jetson Benchmark: Jetson Xavier NX and Jetson AGX Orin MLPerf v2.0 Results
| Model | Jetson Xavier NX | Jetson AGX Xavier | Jetson AGX Orin |
| PeopleNet | 124 | 196 | 536 |
| Action Recognition 2D | 245 | 471 | 1577 |
| Action Recognition 3D | 21 | 32 | 105 |
| LPR Net | 706 | 1190 | 4118 |
| Dashcam Net | 425 | 671 | 1908 |
| Bodypose Net | 105 | 172 | 559 |
| ASR: Citrinet 1024 | 27 | 34 | 113 |
| NLP: BERT-base | 58 | 94 | 287 |
| TTS: Fastpitch-HifiGAN | 7 | 9 | 42 |
Get started with Jetson Software with the necessary ML tools
Jetson Platform includes all the necessary ML tools to accelerate your next AI product quickly to market. At the base of the software stack, JetPack SDK includes the Board Support Package (BSP), with boot loader, Linux kernel, drivers, toolchains, and a reference file system based on Ubuntu.
Jetson Software comprises JetPack SDK, TAO & Pretrained AI Models from the NVIDIA NGC™ catalog, Triton Inference Server, NVIDIA Riva, DeepStream SDK, and NVIDIA Isaac.
Jetson Software Ecosystem ?: NVIDIA
Develop stream analytics with the NVIDIA DeepStream.
NVIDIA’s DeepStream SDK delivers a complete streaming analytics toolkit for AI-based multi-sensor processing, video, audio, and image understanding.
DeepStream offers exceptional throughput for a wide variety of object detection, image classification and instance segmentation-based AI models. To reduce development efforts and increase throughput, developers can use highly accurate pre-trained models from TAO Toolkit and deploy with DeepStream. The following table shows the end-to-end application performance from data ingestion, decoding, image processing to inference. It takes multiple 1080p/30fps streams as input. Note that running on the DLAs for Jetson Xavier NX and Jetson AGX Xavier frees up GPU for other tasks.
| Jetson Nano* | Jetson TX2* | Jetson Xavier NX | Jetson AGX Xavier | |||||||||
| Application | Models | Inference Resolution | Precision | Model Accuracy | GPU (FPS*) | GPU (FPS) | GPU (FPS) | DLA1 (FPS) | DLA2 (FPS) | GPU (FPS) | DLA1 (FPS) | DLA2 (FPS) |
| People Detect | PeopleNet-ResNet34 | 960×544 | INT8 | 84% | 12 | 31 | 172 | 48 | 48 | 305 | 53 | 53 |
| Vehicle Detect | TrafficCamNet-ResNet18 | 960×544 | INT8 | 84% | 19 | 51 | 274 | 89 | 89 | 486 | 111 | 111 |
| Vehicle Detect | DashCamNet-ResNet18 | 960×544 | INT8 | 80% | 18 | 46 | 261 | 91 | 91 | 460 | 116 | 116 |
| Face Detect | FaceDetect-IR-ResNet18 | 384×240 | INT8 | 96% | 101 | 276 | 1126 | 455 | 455 | 2007 | 624 | 624 |
Learn AI: Jetson AI courses and certifications
NVIDIA’s Deep Learning Institute (DLI) delivers practical, hands-on training and certification in AI at the edge for developers, educators, students, and lifelong learners. This is a great way to get the critical AI skills you need to thrive and advance in your career. You can even earn certificates to demonstrate your understanding of Jetson and AI when you complete these free, open-source courses.
Seeed get started guide for Jetson platform
Troubleshooting
1. SSD boot instruction through SDK manager or command lines
2. Memory Expansion for reComputer Nano
The reComputer Jetson is sold with 16 GB of eMMC and has ubuntu 18.04 LTS and NVIDIA JetPack 4.6 installed, so the remaining user space available is about 2 GB, which is a significant obstacle to using the reComputer Jetson for training and deployment in some projects. This tutorial will introduce the expansion process for different models of reComputer Jetson based on this situation and help developers to expand their systems by transferring them to external storage devices.
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