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
A203 (Version 2) Carrier Board for Jetson Nano/Xavier NX/TX2 NX with compact size and rich ports (Wi-fi, Bluetooth, SSD supported etc.)
EdgeBox RPI 200 – Industrial Edge Controller 2GB RAM, 8GB eMMC, WiFi
ODYSSEY – X86J4125800 Most expandable Win10 Mini PC (Linux and Arduino Core) with 8GB RAM
reComputer Industrial J4011- Fanless Edge AI Device with Jetson Orin™ NX 8GB module, Aluminum case with passive cooling
DFRobot FireBeetle ESP32-E IoT Microcontroller with Header (Supports Wi-Fi & Bluetooth)
Waveshare ESP32-S3 Mini Development Board, Based on ESP32-S3FH4R2 Dual-Core Processor, 240MHz Running Frequency, 2.4GHz Wi-Fi & Bluetooth 5 




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