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NVIDIA whitepaper: Delivering Connected Intelligence at the Edge with AI-and-5G

Latest reply: Dec 2, 2021 05:29:10 199 2 2 0 0

Dear community,

Executive Summary

I will share you the AI-and-5G whitepaper of NVIDIA. Companies are using artificial intelligence in conjunction with network connectivity to automate operations and generate analytical insights to improve products and services. Many people are now adding 5G to connect devices to these systems because its high-speed, large-capacity, and ultra-reliable low-latency features can provide new use cases for artificial intelligence or enhance current products. So far, artificial intelligence and 5G infrastructure have been running on two separately constructed and managed systems. However, a better and more efficient method is to integrate artificial intelligence and 5G on a converged platform that can be deployed in corporate locations. This is NVIDIA artificial intelligence on 5G.

Combining these technologies can simplify system deployment and management, and give enterprises more control over the infrastructure. Converged methods can also make better use of computing power and network to improve efficiency while reducing total cost of ownership (TCO).

AI and 5G

AI and 5G: Two Pillars of the Modern Enterprise

AI applications at the edge to gain the benefits of processing data.

5G offers extremely fast data speeds, high capacity, and ultra­reliable, lowlatency communications needed for the most demanding applications.

5G as the Connectivity Fabric for Enterprises

Connection density is also a significant distinction compared to Wi­Fi. According to GSMA, Wi­Fi can support just 256 to 1,024 devices on an access point with a range of 100 meters or less, depending on the Wi­Fi version used.

Research, cellular networks can be turned on in 26 minutes on average, as soon as the router is in place.

Harnessing Edge AI and 5G on a Single, Converged Platform

5g ai

Focus on Manufacturing: AI­on­5G for Plant Automation, Monitoring and Inspections

  • Production line monitoring for automotive manufacturers

  • Robotic inspections at a petrochemical plant

  • Computer vision analysis of warehouse shipments

Focus on Automotive Systems: AI­on­5G for Toll Road and Vehicle Telemetry Applications

Automotive Systems

Focus on Smart Spaces: AI­on­5G for Retail, Smart City and Supply Chain Applications

  • Smart retail

  • Smart city intelligent video analysis

  • Smart supply chain locations

End­to­End Architecture for AI­on­5G

ai

Conclusion

We describe the opportunity to integrate artificial intelligence and 5G at the edge on a single platform to realize these advantages. We use examples extracted from NVIDIA’s customers, products, and solutions to illustrate the role of artificial intelligence in companies in the manufacturing, automotive, and smart space industries today. The paper describes how companies can add 5G to solutions at the edge through the 5G convergence technology stack to further advance and improve their applications. The document suggests that companies can take steps to start taking advantage of this new method.


Attachment can be downloaded here. Thanks.


Refer: NVIDIA.com

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Anno7
Moderator Created Dec 2, 2021 05:29:10

Amazing write up for necessary information
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little_fish
little_fish Created Dec 2, 2021 06:36:07 (0) (0)
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