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Embedded Systems - Build something amazing.
INTRODUCING NVIDIA® JETSON TX2
Discover AI at the edge.
Introducing NVIDIA Jetson TX2
 

THE MOST ADVANCED PLATFORM
FOR AI AT THE EDGE

NVIDIA Jetson is the world’s leading AI computing platform for GPU-accelerated parallel processing in mobile embedded systems. Its high-performance, low-power computing for deep learning and computer vision makes it the ideal platform for compute-intensive embedded projects.

AUTONOMOUS PERFORMANCE FOR ALL

NVIDIA Jetson delivers the most energy-efficient embedded solutions for a wide range of industries.

 
 

EMBEDDED MODULES AND DEV KITS

JETSON MODULES

These are AI supercomputers the size of a credit card that come loaded with incredible performance. They also feature NVIDIA Jetpack, a complete SDK that includes the BSP, libraries for deep learning, computer vision, GPU computing, multimedia processing, and more to accelerate your software development. Jetson modules are supported by the Jetson developer site, which includes documentation, tutorials, and an ecosystem of partners and developers.

JETSON DEVELOPER KITS

These are full-featured development platforms for AI computing. They’re ideal for applications requiring high computational performance in a low-power envelope and designed to get you up and running quickly. Both the Jetson TX2 and TX1 dev kits come pre-flashed with a Linux environment, include support for many common APIs, and are supported by NVIDIAs complete development tool chain.

 

DEEP LEARNING

The NVIDIA Jetson platform taps into the power of deep learning to enable groundbreaking applications.

  • Real-time intelligent video analytics (IVA) systems are powering smarter, safer AI cities.
  • Drones can now perform complex analysis on the edge for faster, more accurate response.
  • Autonomous robotic systems can train and collaborate with other robots and people to boost efficiency.
  • Businesses can build more efficient and predictable supply chains and logistics.
  • Makers and developers have powerful new tools for exploring the future of AI computing.

FEATURED CASE STUDIES

HORUS Wearable Device

HORUS: Wearable Device

This device uses computer vision and machine learning to help visually impaired people read, navigate, and recognize friends.
Watch Video > (04:01)

IFM Autonomous Drones

IFM: Autonomous Drones

This data analytics company uses computer vision and robotics to automate data capture in its flying robots.
Watch Video > (03:44)

AERIALTRONICS Drones

AERIALTRONICS: Drones

These advanced drones help with inspection of cell towers, power lines, wind turbines, and more.
Watch Video > (03:31)

 
Prat Prem Sankar

NVIDIA JETSON INTERN: PRAT PREM SANKAR

An NVIDIA intern spent last summer exploring deep learning and building humanoid robots with Jetson TX1.
Watch Video > (02:18)

Stereolabs Virtual Reality

Stereolabs: Virtual Reality

The ZED stereo camera is paired with the Jetson TX1 in a drone to power VR applications.
Watch Video > (03:00)

MIT Autonomous Racecars

MIT: Autonomous Racecars

MIT professor Sertac Karaman designed a course in racecar building using embedded computing.
Watch Video > (01:59)

 
 

EMBEDDED DEVELOPMENT TOOLS

 

Find Quick Start Guides, SDKs, and other valuable resources on our developer site.