Helping telecoms use artificial intelligence (AI) and possibly less surprising 5G to drive new service revenue, power smart cities, and factories, and dominate cyber threats during the MWC conference in Barcelona, an ongoing theme of Security provider Palo Alto Networks advocates how to combine secure access service edge (SASE) and 5G network slicing, which can not only provide customers with stronger and more refined service-level agreements but also better prevent cybercrimes molecularly.
Chip giant Nvidia announced the establishment of a new laboratory in cooperation with Google Cloud, began to develop AI loads running on the 5G edge, and launched its 5G-on-AI server platform. Ronnie Vasishta, senior vice president of Nvidia Telecom, said: “We believe that all industries will change in the next 10 years.” “This is because the combination of the advantages of artificial intelligence and 5G connectivity and digital automation has promoted the revolution in the fourth industrial revolution.”
Although SASE and GPU-accelerated AI may not be directly connected, telecommunications will benefit from both, especially as a 5G network. Palo Alto Networks Global Service Provider CEO Keith O`Brien said at the event that it has become more mature, and technologies such as networks have become commonplace. As SASE slides into the world, changes are taking place, and the pattern of threats is also changing. He added that after the pandemic, business needs have changed, and because of these safety restrictions, mixed working models are quickly becoming the norm and growing exponentially.
According to Palo Alto Networks, service providers need to rethink how they provide networks and security to respond to these challenges. Operators are no strangers to SD-WAN or managed security, and they often bundle them with other services such as Voice over IP. However, these services are mainly concentrated on branch connections and local security devices (such as firewalls). SASE was created by Gartner in 2019 to combine elements of SD-WAN, managed security, and edge computing into a single cloud delivery service. This flexibility, coupled with low entry barriers and a subscription model, helps enterprises adopt SASE Pushed to the early stage of the epidemic. However, communication service providers are only now beginning to warm up based on the architecture. AT&T and Verizon were among the first US companies to announce hosted SASE services earlier this year. AT&T is supported by Fortinet and Palo Alto Networks, while Verizon uses a combination of Versa Networks and Zscaler.
Combined with 5G network slicing, airlines will soon be able to provide customers with private cellular connections, almost separating traffic from the rest of the network. Sree Koratala, Vice President of Mobile Security Product Management at Palo Alto Networks, explained that in addition to privacy and less congestion, network cuts will enable service providers to provide better security and unique SLAs.
Currently, 5G network cutting is still in its infancy. A technology that requires a 5G network-few operator can claim this. To enable AI in 5G EdgeSpeaking in 5G, the new innovative AI-on-5G laboratory jointly announced by Nvidia and Google Cloud is expected to accelerate the deployment of AI loads on 5G networks.
The lab fuses Google’s hybrid cloud platform with Nvidia-certified hardware and software. The goal is to provide developers with a consistent platform as they build services and applications at the forefront of 5G to make things like smart cities and factories a reality. “In this lab, industry companies, system integrators, and network operators will be able to use Nvidia’s artificial intelligence infrastructure to develop and test their AI-on-5G business applications on Google Anthos,” Vasishta said. Nvidia accelerated computing General Manager Soma Velayutham and the artificial intelligence industry stated in a virtual event last week that 5G networks are very suitable for providing the secure, low-latency connections required for large-scale AI workloads.
He explained that an AI application running at the edge of 5G can be used for real-time traffic priority, and described a scenario in which a traffic camera connects more than 5G to an AI platform running at the edge that can automatically detect fire trucks or emergency vehicles and Make adjustments to the corresponding traffic patterns.
Another example is the assembly and inspection of artificial intelligence control. “Imagine that an arm is placed on the windshield, another robot seals it, and another robot checks the seal in real-time,” he said. “These collaborative robots need to be able to understand and coordinate with each other in the car manufacturing process. This is the promise of AI in 5G.” Nvidia’s AI-on-5G hardware also acts as a 5G base station and edge data center to power artificial intelligence applications. The platform is built around three components: host CPU, GPU, used to manage the layer 1 virtual radio access network
