Verizon unveils AI strategy to power next-gen AI demands

Core Insights - Verizon Business has launched Verizon AI Connect, a suite of solutions aimed at enabling businesses to deploy AI workloads at scale, driven by unprecedented demand for network capacity and computational power [1][3] - The shift towards real-time decision-making in AI, known as inferencing, is expected to create significant demand for additional computing power, with 60-70% of AI workloads projected to transition to real-time inference by 2030 [2] - Verizon is enhancing its AI ecosystem through partnerships with major players like Google Cloud, Meta, and NVIDIA, focusing on providing robust network infrastructure to support demanding AI workloads [4][5][8] Company Strategy - Verizon's strategy includes leveraging its existing assets, such as its 5G network and high-speed fiber connectivity, to support AI workloads and meet the needs of hyperscalers, cloud providers, and global enterprises [3][7] - The company aims to provide low-latency connectivity, compute, and security at the edge, which are critical for the future of AI workloads [2][3] Partnerships and Collaborations - Google Cloud and Meta are early adopters of Verizon's AI solutions, utilizing Verizon's advanced network capabilities to enhance their AI development and deployment [5][8] - Verizon's collaboration with NVIDIA focuses on integrating GPU-based edge platforms into its 5G private networks, enhancing the ability to support AI workloads [8] - The partnership with Vultr aims to extend Verizon's global cloud footprint and deliver cutting-edge AI solutions to its customers [8][9] Market Position - Verizon generated revenues of $134.8 billion in 2024, indicating its strong market presence and capability to innovate in response to customer demands [10]