Verizon reveals AI blueprint for fueling future AI requirements
Verizon Unveils AI Connect: Empowering Businesses with Scalable AI Solutions
Verizon has announced the launch of Verizon AI Connect, an integrated suite of solutions designed to enable businesses to deploy artificial intelligence (AI) workloads at scale. This platform aims to address the future demands of low-latency connectivity, edge compute, and security tailored for AI workloads.
Strengthening the AI Ecosystem
To expand its AI ecosystem and bolster these capabilities, Verizon has formed key partnerships, most notably with Nvidia. This collaboration powers enterprise AI services and supports digital transformation initiatives across Verizon’s 5G and edge computing infrastructure.
Through Verizon AI Connect, Vultr can extend its global cloud footprint and bring cutting-edge AI solutions to Verizon Business' global customers. Google Cloud is also leveraging Verizon's solutions to transform its customer, employee, and network experience.
Addressing Key Aspects
Verizon AI Connect uses Verizon’s 5G private network and mobile edge compute (MEC) infrastructure to bring AI compute close to data sources, reducing latency significantly and enhancing the performance of AI applications. This platform supports edge computing for AI inferencing outside main data centers, providing a secure infrastructure within Verizon's network architecture.
In addition, Verizon AI Connect integrates AI orchestration layers and partners for service development, aiming to build a robust AI environment suited for scalable, secure, and efficient AI workload management.
Meeting the Evolving Needs of Enterprise Customers
This strategy positions Verizon AI Connect as a fundamental enabler for AI workloads that demand immediacy and secure, distributed processing, meeting the evolving needs of enterprise customers and industries relying on AI. Verizon's offerings include macro 5G network, high-speed fiber connectivity, edge compute environments, and space, power, and cooling infrastructure.
The Shift Towards Real-Time AI
The shift towards real-time decision-making (inferencing) in AI is expected to drive demand for additional computing power, with McKinsey predicting that 60-70% of AI workloads will shift to real-time inference by 2030. J.J. Kardwell, the CEO of Vultr, mentioned that GPUs play a crucial role in powering AI workloads and rapidly growing demand for real-time inference is driving the need for AI infrastructure at the edge.
Verizon is building on its strategy to power the AI ecosystem by reimagining existing assets and integrating them into its intelligent and programmable network. Verizon and Google Cloud have collaborated on advanced AI solutions for network maintenance and anomaly detection. Google Cloud and Meta are already using additional capacity from Verizon to support their AI workloads.
In summary, Verizon AI Connect addresses low-latency connectivity, compute, security, and AI ecosystem expansion, positioning it as a crucial component in the future of AI-powered businesses.
Verizon AI Connect leverages technology such as artificial-intelligence to deliver scalable solutions, strengthening businesses' digital transformation initiatives across Verizon's 5G and edge computing infrastructure.
With the evolving needs of enterprise customers and industries relying on AI, Verizon's shift towards real-time AI workloads reduces latency significantly and enhances performance through technology like artificial-intelligence and edge compute infrastructure.
