Description
The Jetson TX2 Developer Kit gives you a fast, easy way to develop hardware and software for the Jetson TX2 AI supercomputer-on-a-module. Jetson TX2’s quad-core ARM A57 and dual-core Denver 2 CPU, 256-core NVIDIA Pascal™ architecture GPU, and super AI computing ability are ideal for intelligent edge devices like robots, drones, smart cameras, and portable medical devices.
It exposes the hardware capabilities and interfaces of the developer board, and also supports NVIDIA Jetpack—a complete SDK that includes the BSP, CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The SDK also includes the ability to install popular AI frameworks such as TensorFlow, PyTorch, Caffe / Caffe2, Keras, and MXNet.
The Jetson TX2 is more than double the performance and twice the energy efficiency of Jetson TX1, provides higher performance and accuracy for applications such as smart cities, factory rotots, and prototyping. It supports all the features of the Jetson TX1 module while enabling bigger, more complex deep neural networks.
Specifications
- GPU: 256-core Pascal™ GPU
- CPU: Dual-core Denver 2 64-bit CPU + Quad-core ARM® Cortex®-A57 MPCore
- Memory: 8GB 128-bit LPDDR4
- Storage: 32GB eMMC 5.1
- Video:
- Encode: 4K x 2K 60 Hz (HEVC)
- Decode: 4K x 2K 60 Hz (12-bit support)
- Encode: 4K x 2K 60 Hz (HEVC)
- Interfaces:
- Ethernet: 10/100/1000BASE-T auto-negotiation
- Wireless: 802.11ac WIFI + Bluetooth
- Camera: 12 lanes MIPI CSI-2, D-PHY 1.2 (30 Gbps)
- Display: HDMI 2.0 / eDP 1.4 / 2x DSI / 2x DP 1.2
- USB: USB 3.0 + USB 2.0 (Micro USB)
- Others: GPIO, I2C, I2S, SPI, UART
- Power:
- DC jack (19V)
- DC jack (19V)
- Dimensions:
- Core module: 87mm × 50mm
- Mother board: 170.2mm x170.2mm x15.6mm
- Core module: 87mm × 50mm
What's on Board
- Jetson TX2: the Jetson TX2 core module with cooling fan
- Camera
- Gigabit Ethernet port: 10/100/1000BASE-T auto-negotiation
- SD card slot
- HDMI (Type-A)
- USB3.0 port
- Micro USB port
- Antenna connector
- Power jack
- M.2 key A interface
- Display interface
- 30PIN GPIO expansion header
- 40PIN GPIO expansion header: compatible with Raspberry Pi GPIO header
- UART interface
- Fan connector
- JTAG connector
- Debug interface
- SATA connector
- PCIE connector
- Power button
- Recovery button
- Audio button
- Reset button
Developer Kit Contents
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 |