Explore new AI capabilities at the edge with the NVIDIA Jetson TX2 4GB. This embedded computer lets you run neural networks with double the compute performance or double the power efficiency of Jetson TX1—at the same price.
As part of the world’s leading AI computing platform, Jetson TX2 4GB works with NVIDIA’s rich set of AI tools and workflows, which enable developers to train and deploy neural networks quickly.
It’s also supported by the NVIDIA JetPack SDK, which can save you money by reducing development effort and expense.
Explore new AI capabilities at the edge with the NVIDIA Jetson TX2 4GB. This embedded computer lets you run neural networks with double the compute performance or double the power efficiency of Jetson TX1—at the same price
Specification:
| Product Name | Jetson TX2 4GB Module |
|---|---|
| AI Performance | 1.33 TFLOPs |
| GPU | 256-core NVIDIA Pascal™ GPU |
| CPU | Dual-Core NVIDIA Denver 2 64-Bit CPU and Quad-Core ARM Cortex-A57 MP Core processor |
| Memory | 4 GB 128-bit LPDDR4, 51.2GB/s |
| Storage | 16 GB eMMC 5.1 |
| Power | 7.5W / 15W |
| Power Consumptions | 5-10W |
| PCIE | 1 x1 + 1 x4 OR 1 x1 + 1 x1 + 1 x2 (PCIe Gen2) |
| CSI Camera | Up to 6 cameras (12 via virtual channels, 12 lanes MIPI CSI-2, D-PHY 1.2 (up to 30 Gbps), C-PHY 1.1 (up to 41Gbps) |
| Video Encoder | 500MP/sec, 1x 4K @ 60 (HEVC), 3x 4K @ 30 (HEVC), 4x 1080p @ 60 (HEVC) |
| Video Decoder | 1000 MP/sec, 2x 4K @ 60 (HEVC), 7x 1080p @ 60 (HEVC), 20x 1080p @ 30 (HEVC) |
| Display | 2 multi-mode DP 1.2/eDP 1.4/HDMI 2.0, 2 x4 DSI (1.5Gbps/lane) |
| Networking | 10/100/1000 BASE-T Ethernet |
| Mechanical | 87 mm x 50 mm, 400-pin connector |
| Dimensions | 45 x 70mm |
| Shipping Weight | 0.4 kg |
| Shipping Dimensions | 10 × 8 × 6 cm |
Features:
- Rich interfaces for AI application
- Supports Ubuntu Linux system
Packages Includes:
1 x NVIDIA Jetson TX2 4GB Module
Arduino Nano Board R3 with CH340 chip (soldered pin)
ATMEGA16U2 Arduino Mega 2560 R3 Improved Version CH340G Board
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Ready to Sky Q450 Quadcopter Frame – PCB Version Frame Kit with Integrated PCB
Arduino Nano Board R3 with CH340 chip (Unsoldered)
Nano Board R3 with CH340 Chip without USB Cable Compatible with Arduino (Unsoldered)
UNO R3 CH340G ATMega328P compatible with arduino + Cable + Transparent Acrylic Case For Uno R3
Due AT91SAM3X8E ARM Cortex-M3 Board, 84MHz, 512KB Board compatible with Arduino
Nano R3 W/O USB Cable Compatible with Arduino (Soldered)
F450 / Q450 Quadcopter Frame – PCB Version Frame Kit with Integrated PCB – Made in INDIA 




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