Details
delivers the next step in AI performance for entry-level embedded and edge products
Now you can get exceptionally high compute, accuracy, and power efficiency in a module smaller than a credit card. Available in 69.6 mm x 45 mm dimensions, Jetson TX2 NX modules enable deep learning applications in small form-factor products like drones and more.
Experience more than double the performance or twice the energy efficiency of Jetson TX1. It’s all made possible by the NVIDIA Pascal GPU architecture with 256 NVIDIA CUDA cores and 4 GB memory for fast compute and inference.
Run large, deep neural networks for higher accuracy on edge devices in as little as 7.5 watts. Jetson TX2 series modules are ideal for real-time processing in applications where bandwidth and latency can be an issue, including factory robots, commercial drones, and enterprise collaboration devices.
| AI performance | 1.33 TFLOPS |
|---|---|
| GPU | NVIDIA Pascal architecture with 256 NVIDIA CUDA cores |
| CPU | Dual-core NVIDIA Denver 2 64-bit CPU and quad-core Arm Cortex-A57 MPCore processor complex |
| Memory | 4 GB 128-bit LPDDR4 51.2 GB/s |
| Storage | 16 GB eMMC 5.1 |
| Power | 7.5 W | 15 W |
| PCIe | 1 x1 + 1 x2 PCIe Gen2, total 30 GT/s |
| CSI Camera | Up to 5 cameras (12 via virtual channels) 12 lanes MIPI CSI-2 (3x4 or 5x2) D-PHY 1.2 (up to 30 Gbps) |
| Video encode | 1x 4K60 | 3x 4K30 | 4x 1080p60 | 8x 1080p30 (H.265) 1x 4K60 | 3x 4K30 | 7x 1080p60 | 14x 1080p30 (H.264) |
| Video decode | 2x 4K60 | 4x 4K30 | 7x 1080p60 | 14x 1080p30 (H.265 & H.264) |
| Display | 2 multi-mode DP 1.2/eDP 1.4/HDMI 2.0 1x 2 DSI (1.5Gbps/lane) |
| Networking | 10/100/1000 BASE-T Ethernet |
| Mechanical | 69.6 mm x 45 mm 260-pin SO-DIMM edge connector |
| Model | Module | Developer Kit |
|---|---|---|
| Jetson Nano N-VIDIA Maxwell architecture 128 N-VIDIA CUDA cores |
 69.6×45mm 260-pin edge connector |
 100×80×29mm Official Kit: 4GB / 2GB |
 100×80×29mm Waveshare Kit |
||
| Jetson TX2 N-VIDIA Pascal architecture 256 N-VIDIA CUDA cores |
 87×50mm 400-pin connector with Thermal Transfer Plate |
 170×170×15.6mm Official Kit |
| Jetson TX2 NX N-VIDIA Pascal architecture 256 N-VIDIA CUDA cores |
 69.6×45mm 260-pin edge connector |
 103×90.5×34mm Waveshare Kit |
| Jetson Xavier NX N-VIDIA Volta architecture 384 N-VIDIA CUDA cores 48 Tensor cores |
 69.5×45mm 260-pin edge connector |
 103×90.5×31mm Official Kit |
 103×90.5×34mm Waveshare Kit: 8GB / 16GB |
||
| Jetson AGX Xavier N-VIDIA Volta architecture 512 N-VIDIA CUDA cores 64 Tensor cores |
 100×87mm 699-pin connector Integrated Thermal Transfer Plate |
 105×105×65mm |
| Jetson Orin Nano N-VIDIA Ampere architecture 512/1024 N-VIDIA CUDA cores 16/32 Tensor cores |
 Memory: 4GB / 8GB 69.6×45mm 260-pin SO-DIMM connector |
 100×79×21mm Official Kit |
 103×90.5×34mm Waveshare Kit: 4GB / 8GB |
||
| Jetson Orin NX N-VIDIA Ampere architecture 1024 N-VIDIA CUDA cores 32 Tensor cores |
 Memory: 8GB / 16GB 69.6×45mm 260-pin SO-DIMM connector |
103×90.5×34mm Waveshare Kit: 8GB / 16GB |
| Note: some models haven't been released yet, please contact the Waveshare service team if you need them. | ||
As an NVIDIA official authorized partner, Waveshare is capable of providing genuine products and reliable tech support
Weight: 0.02 kg
Quick Overview
- Jetson TX2 NX x1
