Verizon Business, AWS seal fibre deal to accelerate AI applications at scale | Computer Weekly
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Verizon Business, AWS seal fibre deal to accelerate AI applications at scale | Computer Weekly
"Verizon AI Connect comprises a network infrastructure and suite of products designed to enable global enterprises to deploy AI workloads at scale. It is said to bring together and "reimagine" existing assets such as power, space and cooling across telco facilities; Verizon's One Fiber infrastructure; long-haul, metro and local fibre and optical networks; and the Verizon 5G Network, offering functionality such as network slicing."
"Putting the launch into context in January 2025, Verizon Business noted that advanced AI training models require immense computing resources. It also cited a McKinsey study calculating that 60-70% of AI workloads are expected to shift to real-time inference by 2030, creating an urgent need for the kind of low-latency connectivity compute and security at the edge beyond current demand."
"Verizon already has a long-standing strategic relationship with AWS, with the companies establishing several key engagements, including adoption of AWS as a preferred strategic public cloud provider for its digital transformation initiatives. Moreover, Verizon stressed that the fibre segments marked a significant commitment to network buildout, to enable the AI ecosystem to intelligently deliver the exponential data growth driven by generative AI."
Verizon Business and AWS agreed to build long-haul, high-capacity fibre pathways to connect AWS datacentre locations and provide low-latency network infrastructure for AI innovation. Verizon AI Connect provides network infrastructure and a product suite to enable global enterprises to deploy AI workloads at scale. The initiative repurposes power, space and cooling across telco facilities and integrates Verizon's One Fiber, long-haul, metro and local fibre, optical networks and 5G capabilities including network slicing. Projections that 60-70% of AI workloads will shift to real-time inference by 2030 increase demand for edge compute, connectivity and security. The fibre buildout signifies a major commitment to support exponential data growth driven by generative AI.
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