**NEW YORK, N. Y. ** – In response to soaring demand for network capacity and computational power, Verizon Business has launched Verizon AI Connect, a comprehensive suite of solutions aimed at enabling businesses to effectively deploy artificial intelligence (AI) workloads on a larger scale. As advanced AI models necessitate substantial computing resources, the industry is shifting towards real-time decision-making, or inferencing, which will significantly increase the need for computing power. McKinsey predicts that by 2030, 60-70% of AI workloads will transition to real-time inference, amplifying the requirement for low-latency connectivity, computation, and security at the edge. Verizon is implementing its strategy to enhance the AI ecosystem by leveraging existing assets integrated within its intelligent, programmable network. The company’s infrastructure, from its expansive 5G network and high-speed fiber to edge computing spaces and power resources, is tailored to deliver AI capabilities as demands evolve.

Google Cloud and Meta have already started utilizing this increased capacity for their AI initiatives. Kyle Malady, CEO of Verizon Business, highlighted the growing need for dependable network infrastructure to support current AI workloads, emphasizing Verizon's commitment to meeting these demands and driving innovation. **Expanding the AI Ecosystem** Verizon is also broadening its AI ecosystem through strategic partnerships: - **NVIDIA:** Verizon is collaborating with NVIDIA to integrate GPU-based edge platforms into its 5G private networks. - **Vultr:** A new partnership with Vultr, a prominent global GPU-as-a-Service provider, has been formed. - **Google Cloud:** The collaboration with Google Cloud focuses on leveraging AI solutions for network maintenance and detecting anomalies, enhancing network performance through AI. - **Meta:** Verizon and Meta are deepening an existing partnership to boost network infrastructure, further supporting the AI ecosystem. **Insights from Partners** - Bikash Koley, VP at Google Global Networking and Infrastructure, stated that Verizon’s robust network infrastructure accelerates the development and deployment of AI solutions. - Meta’s Gaya Nagarajan remarked on partnerships strengthening their network to deliver intelligent and predictive capabilities. - NVIDIA’s Ronnie Vasishta noted that telecom networks are ideally positioned to provide distributed AI infrastructure tailored to enterprise needs. - J. J. Kardwell, CEO of Vultr, emphasized that Verizon’s connectivity infrastructure supports GPU processing power, meeting the increasing demand for data centers. Through Verizon AI Connect, Verizon aims to empower businesses with the essential infrastructure for efficient AI implementation across various sectors.