NVIDIA® Jetson Xavier™ NX Developer Kit
The NVIDIA® Jetson Xavier™ NX Developer Kit brings supercomputer performance to the edge. It includes a power-efficient, compact Jetson Xavier NX module for AI edge devices. It benefits from new cloud-native support and accelerates the NVIDIA software stack in as little as 10 W with more than 10X the performance of its widely adopted predecessor, Jetson TX2. The capability to develop and test power-efficient, small form-factor solutions with accurate, multi-modal AI inference opens the door for new breakthrough products.
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PRODUCT DETAILS
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Features
- Compact size Jetson Xavier NX module powerful enough for advanced AI applications with low power consumption
- Supports Entire NVIDIA Software Stack for application development and optimization
- Rich I/O Peripherals to further expand AI projects
- Onboard Fan to provide better heat dissipation
- More than 10X the performance of Jetson TX2
- Enables development of AI applications using NVIDIA JetPack™ SDK
- Easy to build, deploy, and manage AI at the edge
- Flexible and scalable platform to get to market with reduced development costs
- Continuous updates over the lifetime of the product
Description
The NVIDIA® Jetson Xavier™ NX Developer Kit brings supercomputer performance to the edge. It includes a power-efficient, compact Jetson Xavier NX module for AI edge devices. It benefits from new cloud-native support and accelerates the NVIDIA software stack in as little as 10 W with more than 10X the performance of its widely adopted predecessor, Jetson TX2. The capability to develop and test power-efficient, small form-factor solutions with accurate, multi-modal AI inference opens the door for new breakthrough products.
Developers can now take advantage of cloud-native support, transforming the experience of developing and deploying AI software to edge devices. Pre-trained AI models from NVIDIA NGC, together with the NVIDIA Transfer Learning Toolkit, give a faster path to trained and optimized AI networks. Containerized deployment to Jetson devices also allows flexible and seamless updates.
The developer kit is supported by the entire NVIDIA software stack, including accelerated SDKs and the latest NVIDIA tools for application development and optimization. When combined with the compact Jetson Xavier NX, this powerful stack helps you create innovative solutions for smart cities, retail, manufacturing, logistics, healthcare, agriculture, and more.
Designed for ease of use and speed of deployment, Jetson is the most flexible platform to get to market and continuously update over the lifetime of a product.
Don't forget to explore the blog Bringing Cloud-Native Agility to Edge AI Devices with the NVIDIA Jetson Xavier NX Developer Kit by the NVIDIA team.
To learn more about Jetson Xavier, please visit the Jetson Xavier NX Technical Blog with Benchmarks, also by the NVIDIA team.
Note
This product has shipping restriction to certain countries. It can’t be sent to countries and regions listed as below: NORTH KOREA, CUBA,IRAN (ISLAMIC REPUBLIC OF), LIBYA, SYRIA, UKRAINE, SUDAN.
Bringing Cloud-Native Agility to Edge AI Devices with the NVIDIA Jetson Xavier NX Developer Kit
Comparison Between The NVIDIA Jetson AI Developer Kits
| Jetson Nano Developer Kit | Jetson TX2 Developer Kit | Jetson Xavier NX Developer Kit | Jetson AGX Xavier Developer Kit | |
|---|---|---|---|---|
| AI Performance | 0.5 TFLOPS (FP16) | 1.3 TFLOPS (FP16) | 6 TFLOPS (FP16) 21 TOPS (INT8) |
5.5-11 TFLOPS (FP16) 20-32 TOPS (INT8) |
| GPU | 128-core NVIDIA Maxwell™ GPU | 256-core NVIDIA Pascal™ GPU architecture with 256 NVIDIA CUDA cores | NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores | 512-Core Volta GPU with Tensor Cores |
| CPU | Quad-core ARM A57 @ 1.43 GHz | Dual-Core NVIDIA Denver 2 64-Bit CPU Quad-Core ARM® Cortex®-A57 MPCore |
6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3 | 8-Core ARM v8.2 64-Bit CPU, 8 MB L2 + 4 MB L3 |
| Memory | 4 GB 64-bit LPDDR4 25.6 GB/s | 8GB 128-bit LPDDR4 1866 MHz - 59.7 GB/s |
8 GB 128-bit LPDDR4x @ 51.2GB/s | 32 GB 256-Bit LPDDR4x | 137 GB/s |
| Power Consumption | 5-10W | 7.5-15W | 10-15W | 10-30W |
| Price | $99 | $399 | $399 | $699 |
We provide a wide selection of AI-related products including Machine Learning, Computer Vision, Edge Computing, Speech Recognition & NLP, and Neural Networks Acceleration. Check here for more products you may need.
We are also calling for feedback and inputs from the developers. Any suggestions on the product features are welcome at Seeed Forum!
You can head over to NVIDIA Jetson Download Center to explore the necessary drivers and software for this product.
Specifications
| GPU | NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores |
|---|---|
| CPU | 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3 |
| DL Accelerator | 2x NVDLA Engines |
| Vision Accelerator | 7-Way VLIW Vision Processor |
| Memory | 8 GB 128-bit LPDDR4x @ 51.2GB/s |
| Storage | microSD (Card not included) |
| Video Encode | 2x 4K @ 30 | 6x 1080p @ 60 | 14x 1080p @ 30 (H.265/H.264) |
| Video Decoder | 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) | |
| Camera | 2x MIPI CSI-2 D-PHY lanes |
| Display | HDMI and DP |
| Connectivity | 10/100/1000 Base-T Gigabit Ethernet |
| M.2 Key E (WiFi/BT included) | |
| M.2 Key M (NVMe) | |
| I/O | 4x USB 3.1 Gen2 Type A |
| USB 2.0 Micro-B | |
| HDMI/DisplayPort | |
| 40-pin header (GPIOs, I2C, I2S, SPI, UART) | |
| 2x MIPI-CSI camera connector | |
| Fan connector | |
| Interfaces | GPIOs, I2C, I2S,SPI, UART |
| Power Supply | DC Jack (9V - 19V) |
| Dimensions | 103 mm x 90.5 mm x 31 mm |
Hardware Overview
Parts List
- 1 x NVIDIA® Jetson Xavier™ NX Module
- 1 x Reference Carrier Board
- 1 x Quick Start Guide
- 1 x Support Guide
- 1 x Power Adapter: AC power brick with power cord
ECCN/HTS
| HSCODE | 8543709990 |
| USHSCODE | 8517620090 |
| UPC |
LEARN AND DOCUMENTS
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SHARED BY USERS
REVIEWS
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Great computer with GPUIt works great! I use this for training and my Nano for inference. Trains slightly faster than my MacBook Pro laptop. Not as fast as a remote GPU but fine for my purpose. I can use this tiny monster to do a lot of AI experiments.
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Sounds good今天收到货了，当我拿到后做的第一件事就是把自己写的程序下载进去，感觉还不错哦，板子的质量不错哦
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Encouraging development boardThe technician specifies to use the development kit for development and is satisfied with the development suite.
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Works well!I took a long time to evaluate. I bought a development kit for a big project. It worked well in research tests. Packaging logistics is also very in place, too happy.
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Small but powerfulVery sufficient use of resources, instead of deploying a big rig, this provides just the right amount of power and resources for personal projects.