DIGITAL TRANSFORMATION
This deep technical collaboration extends past the server racks, reaching across the entire network footprint that makes large-scale AI possible.
“ AI infrastructure depends on a broad ecosystem that extends beyond the data centre itself,” says Rodney Dellinger, Head of Hyperscaler and AI Cloud Architecture at Nokia.“ Hyperscalers rely on network operators, fibre infrastructure providers and connectivity partners to link AI compute resources, data centres and users across vast distances. As AI traffic continues to grow, these providers must scale capacity, improve power efficiency and accelerate deployment timelines.”
Nokia is helping enable this through greater automation, integrated monitoring and advanced diagnostics that streamline network operations, speed service activation and improve reliability.
“ Supporting AI at scale requires close collaboration across the entire infrastructure ecosystem, from hyperscalers to the network providers that connect them,” Rodney says.“ Open ecosystems simplify integration, accelerate deployment and reduce operational complexity, allowing organisations to scale AI more efficiently.
“ For hyperscalers, this approach provides greater flexibility and consistency across their environments, while for companies like Nokia, it enables faster innovation and interoperability. Strategic alliances and open frameworks are essential to building and scaling the AI infrastructure ecosystem.”
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