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Create a Faster, Smarter, More Connected World

Billions of IoT sensors—in retail stores, on city streets, on warehouse floors, in hospitals—are generating massive amounts of data. Tapping into faster insights from that data can mean improved services, streamlined operations, and even saved lives. But to do this, enterprises need to drive decisions in real time, and that means taking their AI compute to where the data is, the network’s edge.

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What Is Edge Computing?

At the edge, IoT and mobile devices use embedded processors to collect data. Edge computing takes the power of AI directly to those devices and processes the captured data at its source—instead of in the cloud or data center. This accelerates the AI pipeline to power real-time decision-making and software-defined autonomous machines.  

Lower Latency

Lower Latency

Processing data at the point of action means data travel is reduced or eliminated, accelerating AI.

Improved Security

Improved Security

When sensitive data is processed locally, it doesn’t need to be sent to the cloud so it’s better protected.

Reduced Cost

Reduced Cost

Sending data to the cloud demands bandwidth and storage. Local processing lowers those costs.

Wider Reach

Wider Reach

Edge computing occurs locally without the need for internet access. That expands the places AI can go.

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A Glimpse into Industries at the Edge

Instant Insights. Limitless Potential.

Edge computing is made for real-time, always-on solutions. By processing data as close to its source as possible, latency is minimized and organizations gain actionable insights in real time. They can respond to customers instantly, deliver critical information to surgeons as they operate, run warehouses with maximum efficiency and safety, drive innovation in autonomous vehicles, and so much more.

  • Retail
  • Manufacturing
  • Smart Cities
  • HealthCare
  • Telecommunications
  • Energy

Boosting Business with Smarter Operations

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

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Boosting Business with Smarter Operations

Building the Factory of the Future

Edge AI is helping manufacturers realize the factory of the future. See how BMW Group is using it to get a 360-view of their assembly line and power a safer, more efficient, automated operation.  

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Building the Factory of the Future

Enhancing Lives with Smarter Infrastructure

Liverpool, Australia, is expecting a boom in daily commuters—and that means new infrastructure challenges. Learn how the city is using real-time insights from video streams to predict traffic flows and make better decisions.

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Enhancing Lives with Smarter Infrastructure
Image courtesy of DataFromSky

Delivering a New Standard of Patient Care

AI is helping make our hospitals and healthcare options smarter and safer to deliver better patient care. With edge computing, AI can be brought directly to the examination room, the operating room table, or a patient’s bedside.

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Delivering a New Standard of Patient Care

Accelerating Services in Every Industry

The nexus of 5G, the internet of things (IoT), and edge computing is turbocharging network performance and moving telco services out to the edge in connected factories, retail stores, hospitals, and even city streets.

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Accelerating Services in Every Industry

Fueling a Sustainable Future at the Edge

With edge computing, utilities are dynamically forecasting energy demand and managing supply, integrating renewable and distributed energy resources, and enhancing grid resiliency through a software-defined smart grid.

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Power Plant Digital Twins

Read more about real-time performance at the edge.

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Bring the Edge Within
Reach with NVIDIA Solutions

AI and cloud-native applications, IoT and its billions of sensors, and 5G networking make large-scale AI at the edge possible. Explore the NVIDIA solutions in enterprise edge, embedded edge and industrial edge, all of which transform that possibility into real-world results, automating intelligence at the point of action and driving decisions in real time.

Learn the Five Steps to Getting Started with Edge AI
 View Document: Components of an Edge AI Solution Whitepaper
End to End AI Platform

Enterprise Edge Computing

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

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Industrial-grade edge AI platform

Industrial Edge AI

Meet the very specific requirements of AI deployment in regulated, industrial environments to ensure productivity, security, and compliance. NVIDIA IGX, an industrial-grade edge AI platform, lets organizations confidently deliver AI safely and securely to support human and machine collaboration.

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NVIDIA Jetson Platform

Autonomous Machines and Embedded Edge

Bring your next-gen edge products to life with the world’s most powerful AI computer for energy-efficient autonomous machines. The NVIDIA Jetson™ platform brings incredible new capabilities to the edge, accelerating product development and deployment at scale.

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Instant Access to AI

Try NVIDIA AI Software—for Free, Instantly

Fast-track your journey to edge AI with immediate, short-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’s available for purchase.

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Command Your Edge Fleet

Command Your Edge Fleet

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

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Certified AI Applications

Build 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, pretrained AI models, and industry-specific SDKs that can be deployed on premises, in the cloud, or at the edge, so best-in-class solutions can be built for the age of AI.

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Learn about the hardware, AI applications, and management services that make deploying AI at the edge simple and secure.

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Take a deeper dive into edge AI and determine if it’s the right choice for your organization.

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So what is edge AI? It’s the powerful compute that can bring people, businesses, and accelerated services together, making the world a smaller, more connected place. Subscribe to edge news to stay up to date.

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Frequently Asked Questions

  •

    What’s the difference between edge computing and cloud computing?

    Edge computing is computing done at or near the source of data, allowing for the real-time processing of data that’s preferred for intelligent infrastructure. Cloud computing is done within the cloud. This type of computing is highly flexible and scalable, making it ideal for customers who want to get started quickly or those that have varying usage.  Both computing models have distinct advantages, which is why many organizations will look to a hybrid approach to computing.

  •

    Why should I use edge computing?

    Edge computing offers benefits such as lower latency, higher bandwidth, and data sovereignty compared to traditional cloud or data center computing. Many organizations are looking for real-time intelligence from AI applications. For example, self-driving cars, autonomous machines in factories, and industrial inspection all present a serious safety concern if they can’t act quickly enough—in real time—on the data they ingest. 

  • Who’s taking advantage of edge computing?

    Edge computing is not limited to any industry or application. Organizations across every industry are leveraging edge computing to accelerate their applications and take advantage of the benefits of AI at the edge. Examples include smart shopping experiences in retail, intelligent infrastructure in smart cities, and automation of industrial manufacturing.

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