Verizon, NVIDIA Partner to Drive AI Workloads on 5G Networks
American telecommunications company Verizon has announced a collaboration with NVIDIA to deliver a solution enabling AI applications to operate on Verizon’s 5G private network with mobile edge computing (MEC). This development, announced on Tuesday, is expected to revolutionise enterprise operations by providing real-time AI services at the network edge. Verizon’s secure 5G infrastructure and private MEC will be integrated with NVIDIA AI Enterprise software and NVIDIA NIM microservices. According to the company, demonstrations of this solution are scheduled to begin early next year. “Generative AI is becoming a cornerstone of digital transformation and business growth. We are enabling real-time AI applications that meet the needs of modern businesses,” said Srini Kalapala, senior VP of technology and product development at Verizon. Scalability and Flexibility The collaboration’s AI-powered private 5G platform supports compute-intensive applications, including generative AI models, video streaming, augmented reality, robotics, and IoT. The platform is also claimed to be designed for scalability and flexibility, enabling developers to innovate rapidly while ensuring high security and reliability. “Verizon’s integration of NVIDIA’s full AI platform into its private 5G networks helps enterprises achieve business objectives more efficiently and effectively,” Ronnie Vasishta, senior VP of telecom at NVIDIA, said. Key Features The solution’s key features are designed to address the demands of modern AI-driven enterprises. It offers ultra-low latency, enabling real-time AI processing, which is critical for applications like robotics, augmented reality, and video analytics, where instantaneous decisions are essential. The solution also provides high bandwidth and ensures the seamless handling of data-intensive workloads. This is particularly important for industries like healthcare, logistics, and manufacturing that rely on large-scale data processing and real-time monitoring. The solution incorporates enhanced security measures to address security concerns. These measures give enterprises greater control over sensitive data and reduce exposure to cyber threats, an essential feature for sectors such as finance and healthcare. Additionally, the solution uses edge AI processing by keeping computation local with MEC technology. This minimises the need to transmit data over the internet, improves response times and maintains data security while enabling quick decision-making for critical operations. AI Will Change 5G According to a PwC study, 75% of executives consider AI a business advantage. Meanwhile, McKinsey reports that 71% of companies plan to expand their use of AI. By 2035, 5G is projected to generate $12 trillion in global economic output, with AI playing a central role in sectors such as healthcare and manufacturing. Verizon and NVIDIA’s partnership expands on the transformative potential of 5G and AI. This initiative aims to empower enterprises to deploy advanced AI applications while driving innovation and efficiency across industries.In November, NVIDIA, along with SoftBank Group’s telecoms division, SoftBank Corp., launched the world’s first AI and 5G telecommunications network, AITRAS.
5G is projected to generate $12 trillion in global economic output by 2035, with AI playing a central role.
5G is projected to generate $12 trillion in global economic output by 2035, with AI playing a central role.
["5G", "telecom", "verizon"]
["5G", "TPU", "AI", "ML", "microservices", "telecom", "Aim", "analytics", "generative AI", "edge AI", "edge computing", "verizon", "R"]
["AI", "ML", "analytics", "generative AI", "Aim", "edge AI", "microservices", "edge computing", "TPU", "R"]
An information designer who loves to learn about and try new developments in the field of tech and AI. She likes to spend her spare time reading and exploring absurdism in literature.