Features
- Compact size SoM with advanced AI performance: 6 TFLOPS (FP16), 21 TOPS (INT8) performance more than 10X the performance of Jetson TX2
- Low power consumption: Cost selectable as 10W to 15W
- Supports entire NVIDIA Software Stack: Compatible NVIDIA software for AI application development and depoyment
- Integral hardware design: Easy to build, deploy, and manage AI at the edge
- Flexible and scalable platform: Reduce development costs
Description
Jetson Xavier NX 16GB delivers up to 21 TOPS for running modern AI workloads, consumes as little as 10 watts of power, and has a compact form factor smaller than a credit card. It can run modern neural networks in parallel and process data from multiple high-resolution sensors, opening the door for embedded and edge computing devices that demand increased performance but are constrained by size, weight, and power budgets.
Customization
Seeed Agile ODM Service empowers device makers and integrators with our customizable services tailored to their specific hardware needs, including form factors, image flashing, and logo change.
Bringing Cloud-Native Agility to Edge AI Devices with the NVIDIA Jetson Xavier NX Developer Kit
Tip
To learn more about Jetson Xavier, you can refer to the Jetson Xavier NX Technical Blog with Benchmarks, introduced by the NVIDIA team.
Comparison Between The NVIDIA Jetson AI Modules
| Jetson Nano | Jetson TX2 NX | Jetson TX2 Series | Jetson Xavier NX 16GB | Jetson AGX Xavier Series | |
|---|---|---|---|---|---|
| AI Performance | 0.5 TFLOPS (FP16) | 1.33 TFLOPs | 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 | NVIDIA Pascal™ Architecture GPU with 256 CUDA cores | 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 processor | 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 | 4GB 128-bit LPDDR4, 1600 MHz - 51.2 GB/s | 8GB 128-bit LPDDR4 1866 MHz - 59.7 GB/s | 16 GB 128-bit LPDDR4x @ 51.2GB/s | 8 | 32 | 64 GB 256-Bit LPDDR4x | 137 GB/s |
| Power Consumption | 5-10W | 7.5W / 15W | 7.5-15W | 10-15W | 10-30W |
| Dimensions | 45 x 70mm | 45 x 70mm | 50 x 87mm | 45 x 70mm | 100 x 87mm |
Note
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!
Specifications
| AI Performance | 21 TOPS (INT8) |
|---|---|
| GPU | NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores |
| Max GPU Frequency | 1100 MHz |
| CPU | 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3 |
| Max CPU Frequency | 1900 MHz |
| Memory | 16 GB 128-bit LPDDR4x @ 59.7 GB/s |
| Storage | 16 GB eMMC 5.1 |
| Power | 10 W | 15 W | 20 W |
| PCIe | 1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT/s * |
| CSI Camera | Up to 6 cameras (24 via virtual channels) |
| 14 lanes (3x4 or 6x2) MIPI CSI-2 | |
| D-PHY 1.2 (up to 30 Gbps) | |
| Video Encode | 2x 4K @ 60 | 4x 4K @ 30 | 10x 1080p @ 60 | 22x 1080p30 (H.265/H.264) |
| Video Decode | 2x 8K @ 30 | 6x 4K @ 60 | 12x 4K @ 30 | 22x 1080p @ 60 | 44x 1080p @ 30 (H.265) 2x 4K @ 60 | 6x 1080p @ 60 | 22x 1080p @ 30 (H.264) |
| Display | 2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0 |
| DL Accelerator | 2x NVDLA Engines |
| DLA Max Frequency | 1100 MHz |
| Vision Accelerator | 2x PVA |
| Networking | 10/100/1000 Base-T Ethernet |
| USB | 1xUSB 3.1 (10 Gbps) | 3xUSB 2.0 |
| Other IOs | 1x SDIO / 2x SPI / 3x UART / 2x I2S / 4x I2C / 1x CAN / GPIOs |
| Dimensions | 45 mm x 69.6 mm |
| Connector | 260 pin SO-DIMM connector |
Tip
To explore more NVIDIA products, please click here and learn more!
Tip
Head over to NVIDIA Jetson Download Center to explore the necessary drivers and software for this product.
Parts List
1 x NVIDIA® Jetson Xavier™ NX Module 16GB
ECCN/HTS
| HSCODE | 8517180050 |
| USHSCODE | 8543708800 |
| UPC | |
| EUHSCODE | 8543709099 |
| COO | CHINA |
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