For the upcoming 10 years, it is expected that artificial intelligence can transform every realm of life. The main catalyst for this change would be the spread of 5G. Both of these technologies will help a lot in enabling a secure, fast, and cost-effective usage of internet things, devices, and smart networks.
Mr. Ronnie Vasishta, the senior vice president of telecom at graphical chipmaker and software platform developer NVIDIA, several weeks ago in a special address at the 2021 Mobile World Congress in Barcelona had expressed his view on this. He said that AI-powered 5G networks can accelerate the fourth industrial revolution and also can create exceptional opportunities both in society as well as business.
Vasishta added that there are billions of things situated throughout the network and data centers. So, with the use of a 5G network, we can connect through these data centers and other things at the application required rate, cost, latency, and power. The AI assistance is also required to manage, increase and organize the efficiency of the network. Walking away from the preceding wireless tech generations, we find that the 5G is born in a cloud era and is specifically designed for loT. So, it can connect billions of sensors including video cameras to control data centers for AI processing.
How Transformations hit every industry
When we talked about a fourth industrial revolution triggered by 5G services and AI efficiency, it is assumed that transformations happen in every industry. We can look at four real-world examples for this.
• Use of thousands of cameras for monitoring automated vehicle assembly
For recognizing defects in vehicles, visual inspection software with deep learning algorithms is used. This helps car manufactures to look up and identify issues related to the quality of the assembly line.
• For traffic management and urban planning in smart cities
The AI-powered visual inspection software helps in monitoring moving and non-moving elements in a crowded city to ensure city safety, traffic management, and space management.
• For conversational AI and natural language processing to be used in the future
Messaging services including chatbots and voice assistants can help various industries automate customer support. The field of conversational AI is always evolving to include new ways of communication using human facial expressions and contextual awareness.
• Powerful edge computing for extended reality
In a world of virtual reality and augmented there is no need for cables and advanced technologies like 5G helps industry professionals in making real-time design changes in AR or they can virtually present anywhere in VR.
It is to note that for more than a decade, NVIDIA has been working on developing AI solutions along with a wide ecosystem of independent vendors and startups on the NVIDIA platform. Now the company has tied up with Google Cloud in establishing an AI-on-5G Innovation Lab. This lab will work for infrastructure and AI software providers to develop, test, and launch 5G/AI apps. This NVIDIA’s AI-on-5G setup includes a unified platform, software-defined 5Gvirtual radio area networks, servers, enterprise AI apps, and also software development kits such as Isaac and Metropolis. The commercial version of NVIDIA AI-on-5G is expected to be available by the second half of this year.
NVIDIA AERIAL A100 is made up for the 5G era
NVIDIA had launched Aerial A100 in April this year. According to Vasishta, this latest addition is a new type of computing platform which is designed for the network edge by combining AI and 5G into EGX for the enterprise. The NVIDIA EGX is said to be an accelerated computing platform that can allow the continuous streaming of data between 5G base stations, stores, warehouses, and other places. So, the collaboration of EGX and Aerial A100 helps organizations to get a complete AI suite of capabilities.
However today 5G and AI technologies are inefficient because they are used and managed separately. Those enterprises that run AI and 5G on the same computing platform can reduce equipment, power, and space costs, and also greater security is provided for AI apps. The telcos that installed AI apps over 5G come up with new uses cases and revenue streams. These telcos can convert every 5G base station to an edge data center. Thus, it can support both 5G and AI.
Nevertheless, it is assured that telcos and enterprises are greatly benefited from converged platforms like NVIDIA’s AI –on-5G which can serve an ultra-reliable, secure, and cost-effective communication between sensors and AI apps.
