Plan

Create a faster, smarter, and more connected world

Billions of IoT sensors in retail stores, city streets, warehouse workshops, and hospitals are generating massive amounts of data. Mining insights faster from this data can improve services, simplify operations, and even save lives. But to do this, companies need to make decisions in real time, and this needs to bring their AI computing to the location of the data, that is, the edge of the network。

What is edge computing?

At the edge, IoT and mobile devices collect data through embedded processors. Edge computing applies the power of AI directly to these devices, and processes the acquired data at the data source (rather than in the cloud or data center). Doing so can speed up the AI workflow and provide support for real-time decision making when needed.

Lower latency

Edge computing processes data at the point of action, which can reduce or eliminate the data transmission process, thereby accelerating the AI workflow.

Security is more guaranteed

Processing sensitive data locally does not require sending it to the cloud, so sensitive data can be better protected.

lower the cost

Sending data to the cloud requires sufficient bandwidth and storage, and processing the data locally can reduce this cost.

Wider coverage

Edge computing can be performed locally, without the need to connect to the Internet. In this way, the coverage of AI is expanded.

Instant insights. Vast potential。

Edge computing is designed for real-time, all-weather solutions. Edge computing is as close as possible to the data source when processing the data, which greatly reduces latency and provides organizations with practical insights in real time. These insights help to immediately respond to customer needs, provide surgeons with critical information during surgery, enable warehouses to operate efficiently and safely, and promote innovation in the field of autonomous driving.

  • Retail
  • manufacturing
  • Smart City
  • Medical and health industry
  • telecommunications

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Edge at your fingertips

Edge computing is designed for real-time, all-weather solutions. Edge computing is as close as possible to the data source when processing the data, which greatly reduces latency and provides organizations with practical insights in real time. These insights help to immediately respond to customer needs, provide surgeons with critical information during surgery, make warehouses operate efficiently and safely, and promote innovation in the field of autonomous driving, etc.。

End-to-end AI platform

The NVIDIA EGX™ platform fulfills its promise in the field of edge computing, providing powerful distributed computing, secure remote management, and compatibil...

Instant access to AI

NVIDIA LaunchPad quickly tracks the evolution of edge AI. AI LaunchPad allows organizations to gain immediate short-term access to NVIDIA AI running accelerated...

Optimized AI system

The NVIDIA Certification System™ creates a basic platform for edge computing to provide optimized solutions for the deployment of AI applications. These systems...

Take control of your edge device fleet

NVIDIA Fleet Command™ is a one-stop solution for AI lifecycle management. This platform makes it less complicated to build and maintain edge software platforms ...

Certified AI applications

The NGC™ catalog is a GPU optimized software center that simplifies and accelerates end-to-end workflows. With enterprise-grade containers, pre-trained AI model...

Connect via 5G

NVIDIA AI-on-5G is a unified platform that can bring the development of AI and 5G to the edge and accelerate the digital transformation of enterprises in variou...

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