DISCOVER THE FUTURE OF EDGE COMPUTING

AI enables competitive advantage - from automating business processes and gaining insights through
data analytics to interacting with customers and employees.

NVIDIA® Jetson™ is the world's leading platform for AI at the Edge. The platform includes small form factor Jetson modules, high-performance computing, the JetPack SDK for software acceleration, and an ecosystem of sensors, SDKs, services and products that accelerate development. Jetson is compatible with the same AI software and cloud-native workflows used on other NVIDIA platforms, providing customers with the performance and energy efficiency needed to build software-defined intelligent machines at the edge.

What is edge computing?

IoT and mobile devices in the network perimeter use embedded processors to collect data. Edge computing brings the power of AI directly to these devices, processing the captured data at its source - rather than in the cloud or data center. This accelerates the AI pipeline to make real-time decisions where they are needed.

Less latency

Processing data at the point of use means that traffic is reduced or eliminated, speeding up AI.

Improved security

When sensitive data is processed locally, it does not need to be sent to the cloud, so it is better protected.

Lower costs

Sending data to the cloud costs bandwidth and storage space. Local processing lowers these costs.

Greater range

Edge computing takes place locally without the need for Internet access. This expands the possible uses of AI.

Instant insights. Limitless potential.

A look at industries on the margins of society

Edge computing is designed for always-on, real-time solutions. By processing data as close to the source as possible, latency is minimized and companies gain actionable insights in real time. Companies can respond instantly to customers, provide surgeons with critical information during surgery, run warehouses with maximum efficiency and security, drive innovation in autonomous vehicles, and more.

Boosting business with smarter processes

Smart stores are the future of retail. Learn how leading retailers like Walmart are turning to AI to optimize everything from in-store analytics to warehouse operations to last-mile delivery.
Intelligentes Einkaufen

Building the factory of the future

Edge AI helps manufacturers realize the factory of the future. See how BMW Group is using it to gain a 360° view of its assembly line and enable safer, more efficient and automated operations.
Roboterarme

More life with intelligent infrastructure

The Australian city of Liverpool is anticipating a boom in daily commuters - and with it new infrastructure challenges. Learn how the city is using insights from real-time video streams to predict traffic flows and make better decisions.
Scannen und erkennen von Personen

Creating a new standard in patient care

AI is helping to make our hospitals and healthcare facilities smarter and safer to provide better patient care. With edge computing, AI can be brought directly into the exam room, onto the operating table, or to the patient's bedside.

Accelerated services in any industry

The marriage of 5G, the Internet of Things (IoT), and edge computing is boosting network performance and moving telecommunications services to the edge of connected factories, retail stores, hospitals, and even city streets.

Fuel for a sustainable future at the edge of society

Using edge computing, utilities can dynamically forecast energy demand and manage supply, integrate renewable and distributed energy resources, and improve grid resilience through a software-defined smart grid.
Read more about real-time performance at the edge.

Put the edge within reach with
NVIDIA solutions

AI and cloud-native applications, the Internet of Things (IoT) with its billions of sensors, and 5G networking are making large-scale AI possible at the edge. Discover NVIDIA solutions that turn this opportunity into real-world results, automating intelligence at the point of action and driving real-time decisions.

Try NVIDIA AI software - free and right away

Accelerate your path to edge AI with instant, near-term access to NVIDIA AI software running on private, accelerated infrastructure. With NVIDIA LaunchPad, you can test, prototype, and deploy modern, data-driven applications on the same complete stack that is available for purchase.

Command Your Edge Fleet

Eliminate the complexity of building and maintaining an edge software platform with a turnkey container orchestration solution. NVIDIA Fleet Command™ deploys in minutes instead of weeks and streamlines the provisioning and deployment of systems and AI applications at the edge.

Create applications for the age of AI

Simplify and accelerate end-to-end AI workflows at the Edge. The NGC™ catalog is a hub that offers GPU-optimized containers, pre-trained AI models, and industry-specific SDKs that can be deployed on-premises, in the cloud, or at the Edge, enabling world-class solutions for the age of AI.

Try NVIDIA AI Software - Free
and Immediate

Discover the optimal solution for AI application deployment. NVIDIA-Certified Systems™ provide the essential platform for edge computing. They deliver the performance and security required for scale-out deployments and simplify edge computing with tested configurations.

Bring powerful, secure AI to the edge with an end-to-end platform

Realize the promise of edge computing with powerful computing performance, remote management, and industry-leading technologies. The NVIDIA EGX™ platform brings together NVIDIA-Certified Systems™, embedded platforms, software, and management services to help you take AI to the edge.

Driving AI forward with 5G

Bring AI and 5G together at the edge to accelerate your digital transformation. 5G connects billions of devices and extends the reach of AI to all networked objects at the network edge, enabling new use cases and new markets. NVIDIA AI-on-5G is the unified platform that makes this possible.

FIND YOUR PERFECT COMPUTER FOR EMBEDDED KI

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For product development

For breakthrough product development, whether it's AI-powered network video recorders (NVRs), automated optical inspection (AOI) devices for precision manufacturing, or autonomous mobile robots (AMRs), the Jetson family offers solutions that meet the performance and budget requirements of a wide range of edge applications.

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For faculty, students, and AI enthusiasts

The NVIDIA Jetson Nano™ developer kit is ideal for teaching, learning and developing AI and robotics. The kit offers incredible AI performance at a low cost and opens up the world of AI and robotics to everyone, with the same software packages and tools used to develop breakthrough products across all industries.

SCALABLE AND FLEXIBLE EMBEDDED HARDWARE SOLUTION

Each NVIDIA Jetson is a complete system-on-module (SOM) including CPU, GPU, memory, power management, high-speed interfaces and more. Jetson modules are available in various combinations of performance, power efficiency, and form factor, so they can be used by customers in all industries. Jetson ecosystem partners provide software, hardware design services, and compatible off-the-shelf products from carrier boards to complete systems, so you can get your embedded AI and edge devices to market faster.

JETSON PORTFOLIO

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JETSON AGX ORIN

At only 100 mm by 87 mm, Jetson AGX Orin™ delivers up to 6 times the power of Jetson AGX Xavier in the same compact form factor. This makes it the ideal solution for autonomous machines such as delivery and logistics robots, factory systems and large industrial UAVs.
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JETSON NANO

The Jetson Nano module is a small AI computer that has the performance and power efficiency required for advanced AI workloads, running multiple parallel neural networks, and processing data from multiple high-resolution sensors simultaneously. This makes it the perfect entry-level option to enable advanced AI capabilities on embedded products.
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JETSON TX2 SERIES

The expanded Jetson TX2 family of embedded modules offers up to 2.5x the performance of the Jetson Nano at only 7.5W. Jetson TX2 NX offers pin and form factor compatibility with Jetson Nano, while Jetson TX2, TX2 4 GB and TX2i all share the original Jetson TX2 form factor. The rugged Jetson TX2i is perfect for applications such as industrial robots and medical devices.
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JETSON XAVIER NX

Jetson Xavier NX brings up to 21 TOPS of accelerated AI computing to the periphery in a small form factor module. This allows multiple advanced neural networks to run in parallel and process data from multiple high-resolution sensors - a prerequisite for fully AI-based systems. Jetson Xavier NX is production-ready and supports all major AI frameworks.
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JETSON AGX XAVIER SERIES

Jetson AGX Xavier is the first computer designed specifically for autonomous machines. This compact, power-efficient module provides hardware acceleration for the entire AI pipeline and extensive high-speed I/O to enable customers to implement their latest AI applications at the edge. For customers looking to develop industrial-grade and/or safety-certified products, Jetson AGX Xavier Industrial offers advanced temperature, shock and vibration resistance, as well as new functional safety features.

Discover the future and
choose the right Jetson product for your application.

A single, unified embedded software package

Jetson modules are supported by the same software package, so organizations only need to develop their application once and then deploy it anywhere. The Jetson platform provides end-to-end acceleration for AI applications, speeding your time to market with the same powerful NVIDIA technologies that support data centers and cloud deployments.

Frequently asked questions

Was ist der Unterschied zwischen Edge Computing und Cloud Computing?
Edge computing is data processing at or near the data source and enables real-time processing of data, which is preferred for intelligent infrastructures. Cloud computing takes place within the cloud. This type of computing is extremely flexible and scalable, making it ideal for customers who want to get started quickly or for customers with changing usage. Both computing models have distinct advantages, which is why many companies will choose a hybrid approach to computing.
Warum sollte ich Edge Computing nutzen?
Edge computing offers advantages such as lower latency, higher bandwidth, and data sovereignty compared to traditional cloud or data center computing. Many enterprises are looking for real-time intelligence from AI applications. For example, self-driving cars, autonomous machines in factories, and industrial inspections pose serious security risks if they cannot respond quickly enough - in real time - to the data they collect.
Wer nutzt die Vorteile des Edge Computing?
Edge computing is not limited to a specific industry or application. Companies across all industries are using edge computing to accelerate their applications and take advantage of AI at the edge. Examples include smart retail shopping experiences, smart infrastructure in smart cities, and industrial manufacturing automation.