Jetson Store

Jetson Nano

Jetson Nano Dev Kit
  • Overview
  • Specs

NVIDIA® Jetson Nano Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts.

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USB 4x USB 3.0, USB 2.0 Micro-B
Camera Connector 1x MIPI CSI-2 DPHY lanes
Connectivity Gigabit Ethernet, M.2 Key E
Storage microSD (not included)
Display HDMI 2.0 and eDP 1.4
Others GPIO, I2C, I2S, SPI, UART
Jetson Nano Module
  • Overview
  • Specs

Jetson Nano has the performance and capabilities needed to run modern AI workloads fast, making it possible to add advanced AI to any product. Jetson Nano brings AI to a world of new embedded and IOT applications, including entry-level network video recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.

GPU NVIDIA Maxwell architecture with 128 NVIDIA CUDA® cores
CPU Quad-core ARM® Cortex®-A57 MPCore processor
Memory 4 GB 64-bit LPDDR4
Storage 16 GB eMMC 5.1 Flash
Video Encode 4K @ 30 (H.264/H.265)
Video Decode 4K @ 60 (H.264/H.265)
Camera 12 lanes (3x4 or 4x2) MIPI CSI-2 DPHY 1.1 (1.5 Gbps)
Connectivity Gigabit Ethernet
Display HDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous
UPHY 1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0
I/O 1x SDIO / 2x SPI / 6x I2C / 2x I2S / GPIOs
Size 69.6 mm x 45 mm
Mechanical 260-pin edge connector

Jetson AGX Xavier

Jetson AGX Xavier Dev Kit
  • Overview
  • Specs

With the NVIDIA Jetson AGX Xavier developer kit, you can easily create and deploy end-to-end AI robotics applications for manufacturing, delivery, retail, smart cities, and more. Supported by NVIDIA JetPack and DeepStream SDKs, as well as CUDA®, cuDNN, and TensorRT software libraries, the kit provides all the tools you need to get started right away. And because it’s powered by the new NVIDIA Xavier processor, you now have more than 20X the performance and 10X the energy efficiency of its predecessor, the NVIDIA Jetson TX2. Get started today with the Jetson AGX Xavier Developer Kit.

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PCIe X16 X8 PCIe Gen4/x8 SLVS-EC
RJ45 Gigabit Ethernet
USB-C 2x USB 3.1, DP (Optional), PD (Optional)
Close-System Debug and Flashing Support on 1 Port
Camera Connector (16x) CSI-2 Lanes
M.2 Key M NVMe
M.2 Key E PCIe x1 + USB 2.0 + UART (for Wi-Fi/LTE) / I2S + DMIC + GPIOs
HD Audio Header High-Definition Audio
eSTATp + USB 3.0 Type A SATA Through PCIe x1 Bridge + USB 3.0 (PD + Data for 2.5-inch SATA)
HDMI Type A/eDP/DP HDMI 2.0, eDP 1.2a, DP 1.4
uSD/UFS Card Socket SD/UFS
Jetson AGX Xavier Module
  • Overview
  • Specs

The Jetson AGX Xavier module makes AI-powered autonomous machines possible, running in as little as 10 W and delivering up to 32 TOPs. As part of the world’s leading AI computing platform, it benefits from NVIDIA’s rich set of AI tools and workflows, enabling developers to quickly train and deploy neural networks.

GPU 512-Core Volta GPU with Tensor Cores
DL Accelerator (2x) NVDLA Engines
CPU 8-Core ARM v8.2 64-Bit CPU, 8 MB L2 + 4 MB L3
Memory 16 GB 256-Bit LPDDR4x | 137 GB/s
Display HDMI 2.0, eDP1.4, DP HBR3
Storage 32 GB eMMC 5.1
Vision Accelerator 7-Way VLIW Vision Processor
Video Encode 8x 4K @ 60 (HEVC)
Video Decode 12x 4K @ 30 12-bit support
Camera (16x) CSI-2 Lanes
UPHY (8x) PCIe Gen4 / (8x) SLVS-EC
(3x) USB 3.1
Single Lane UFS
Other UART, SPI, CAN, I2C, I2S, DMIC, GPIOs
Connectivity Gigabit Ethernet
Size 87 mm x 100 mm
Mechanical 699 pin Molex Mirror Mex Connector
Integrated Thermal Transfer Plate

Jetson TX2

Jetson TX2 Dev Kit
  • Overview
  • Specs

The NVIDIA Jetson TX2 Developer Kit gives you a fast, easy way to develop hardware and software for the Jetson TX2 AI supercomputer on a module. It exposes the hardware capabilities and interfaces of the module and is supported by NVIDIA Jetpack—a complete SDK that includes the BSP, libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more.

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PCIe Gen 2 | 1x4 + 1x1 OR 2x1 + 1x2
USB USB 3.0 + USB 2.0
Camera Up to 6 Cameras (2 Lane)
CSI2 D-PHY 1.2 (2.5 Gbps/Lane)
Connectivity Connects to 801.11ac WLAN and Bluetooth
Storage 32 GB eMMC
Display HDMI
Others GPIO, I2 C, I2 S, SPI, CAN, UART
Jetson TX2 Module
  • Overview
  • Specs

Jetson TX2 is a 7.5-watt supercomputer on a module that brings true AI computing at the edge. It's built around an NVIDIA Pascal-family GPU and loaded with 8 GB of memory and 59.7 GB/s of memory bandwidth. It features a variety of standard hardware interfaces that make it easy to integrate it into a wide range of products and form factors.

Technical Specifications
GPU NVIDIA Pascal architecture with 256 NVIDIA CUDA cores
CPU Dual-core Denver 2 64-bit CPU and quad-core ARM A57 complex
Memory 8 GB 128-bit LPDDR4
Storage 32 GB eMMC 5.1
Video Encode 2x 4K @ 30 (HEVC)
Video Decode 2x 4K @ 30, 12-bit support
Connectivity Wi-Fi onboard
Gigabit Ethernet
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
UPHY Gen 2 | 1x4 + 1x1 OR 2x1 + 1x2, USB 3.0 + USB 2.0
Size 87 mm x 50 mm
Mechanical 400-pin connector with Thermal Transfer Plate (TTP)
Jetson TX2 Module
  • Overview
  • Specs

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.

Technical Specifications
GPU NVIDIA Pascal architecture with 256 NVIDIA CUDA cores
CPU Dual-core Denver 2 64-bit CPU and quad-core ARM A57 complex
Memory 4 GB 128-bit LPDDR4
Storage 16 GB eMMC 5.1
Video Encode 2x 4K @ 30 (HEVC)
Video Decode 2x 4K @ 30, 12-bit support
Connectivity Wi-Fi requires external chip
Gigabit Ethernet
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
UPHY Gen 2 | 1x4 + 1x1 OR 2x1 + 1x2, USB 3.0 + USB 2.0
Size 87 mm x 50 mm
Mechanical 400-pin connector with Thermal Transfer Plate (TTP)
Jetson TX2 Module
  • Overview
  • Specs

Jetson TX2i module’s rugged design, small form factor, and reduced power envelope make it ideal for high-performance edge computing devices such as industrial robots, machine vision cameras, and portable medical equipment.

Technical Specifications
GPU NVIDIA Pascal architecture with 256 NVIDIA CUDA cores
CPU Dual-core Denver 2 64-bit CPU and quad-core ARM A57 complex
Memory 8 GB 128-bit LPDDR4
Storage 32 GB eMMC 5.1
Video Encode 2x 4K @ 30 (HEVC)
Video Decode 2x 4K @ 30, 12-bit support
Connectivity Wi-Fi requires external chip
Gigabit Ethernet
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
UPHY Gen 2 | 1x4 + 1x1 OR 2x1 + 1x2, USB 3.0 + USB 2.0
Size 87 mm x 50 mm
Mechanical 400-pin connector with Thermal Transfer Plate (TTP)

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