Advanced Embedded Systems for Edge Computing

NVIDIA Jetson: The AI platform for edge computing

Explore the Future of Edge Computing

AI is driving competitive advantage—from automating business processes and gaining insight through data analysis, to engaging with customers and employees.

AI at the edge demands a fundamental new approach of development and deployment. The NVIDIA® Jetson platform delivers, giving you the performance, power efficiency, and flexible form factors to build software-defined intelligent machines for a wide range of edge applications. Only Jetson offers the unified software architecture across the entire product portfolio, cloud-native capability, and strong ecosystem you need to develop and deploy your AI projects to market—fast.

Find Your Perfect Embedded AI Computer

Autonomous Mobile Robots (AMRs)

For Product Development

For creating breakthrough products, whether it’s an AI-powered Network Video Recorders (NVRs), and automated optical inspection (AOI) in high-precision manufacturing, or an autonomous mobile robots (AMRs), the Jetson family has a solution to meet specific performance and budget needs across a broad range of edge applications.

NVIDIA Jetson Nano 2GB Developer Kit

For Educators, Students and Enthusiasts

The NVIDIA Jetson Nano Developer Kit is ideal for teaching, learning, and developing AI and robotics.It delivers incredible AI performance at a low price and makes the world of AI and robotics accessible to everyone with the exact same software and tools used to create breakthrough AI products across all industries.

Scalable, Flexible Embedded Hardware Solution

NVIDIA® Jetson is a complete System on Module (SOM), with CPU, GPU, PMIC, DRAM, and flash storage. It comes with various power, performance, and form factors to meet various needs. In addition to that, Jetson ecosystem partners provide compatible hardware products from carrier boards to full systems, to help you deliver fully-realized intelligent machines.

JETSON PORTFOLIO

Jetson Nano

The Jetson Nano module is a small AI computer that has the performance and power efficiency needed to run modern AI workloads, multiple neural networks in parallel and process data from several high-resolution sensors simultaneously. This makes it the perfect entry-level option to add advanced AI to embedded products.

Jetson TX2 Series

The extended Jetson TX2 family of embedded modules provides up to 2.5X the performance of Jetson Nano in as little as 7.5 W. Jetson TX2 NX offers pin and form-factor compatibility with Jetson Nano, while Jetson TX2, TX2 4GB, and TX2i all share the original Jetson TX2 form-factor. The rugged Jetson TX2i is ideal for settings including industrial robots and medical equipment.

Jetson Xavier NX

Jetson Xavier NX brings up to 21 TOPs of accelerated AI computing to the edge in a small form factor module. It can run multiple modern neural networks in parallel and process data from multiple high-resolution sensors—a requirement for full AI systems. Jetson Xavier NX is production-ready and supports all popular AI frameworks.

Jetson AGX Xavier

Jetson AGX Xavier is the first computer designed specifically for autonomous machines. It has six Engines onboard for accelerated sensors data processing and running autonomous machines software, and offers the performance and power efficiency for fully autonomous machines.

See what’s coming next and select the right Jetson for your application.

See all NVIDIA ecosystem partners supporting Jetson

A Single, Unified Embedded Software Stack

All Jetson modules are supported by the same software stack, enabling companies to develop once and deploy everywhere. The Jetson platform is supported by the JetPack SDK, which includes the board support package (BSP), Linux operating system, NVIDIA CUDA®,  a rich set of GPU-accelerated libraries, and support for DeepStream SDK for streaming video analytics and Issac SDK for robotics.It also comes with samples, documentation, and developer tools that help developers accelerate development and optimize performance.

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Find everything you need to get started and download the SDK at the NVIDIA developer site

Shop Jetson modules or get started with Jetson Developer Kit.