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Ciena Study: AI Forces Major Shift in Global DCI

The demand for data center interconnect (DCI) bandwidth is set to surge sixfold over the next five years, as data centers ramp up capacity to support AI-driven workloads, according to a global survey commissioned by Ciena. The study, conducted by Censuswide, surveyed more than 1,300 data center decision makers across 13 countries. It found that 53% of respondents see AI workloads as the top driver of DCI demand over the next two to three years, ahead of cloud computing (51%) and big data analytics (44%).

To meet these growing AI requirements, 43% of new data center builds are expected to be primarily dedicated to AI processing. The shift is driving operators to rethink architectures and capacity plans. The survey also reveals that 87% of respondents expect to require fiber optic wavelengths of at least 800 Gbps to support AI-driven data movement. Experts anticipate that the distributed training of Large Language Models (LLMs) will further increase inter-data center traffic, with 81% expecting training to occur across geographically dispersed facilities.

The report highlights a move toward more sustainable networking solutions. Nearly all (98%) respondents said pluggable optics will be critical to reducing power consumption and minimizing space usage within their networks. Additionally, most operators (67%) plan to use Managed Optical Fiber Networks (MOFN) for long-haul DCI connections, instead of deploying their own dark fiber.

• 6X projected increase in DCI bandwidth demand over the next five years.

• 43% of new data centers expected to be AI-dedicated.

• 53% of respondents identify AI as the biggest driver of DCI demand, ahead of cloud computing and big data analytics.

• 87% foresee the need for 800 Gbps or higher per wavelength in DCI capacity.

• 98% see pluggable optics as essential for reducing power and space requirements.

• 81% expect distributed LLM training across multiple AI data centers.

• 67% plan to use Managed Optical Fiber Networks for long-haul connectivity.

“AI workloads are reshaping the entire data center landscape, from infrastructure builds to bandwidth demand,” said Jürgen Hatheier, Chief Technology Officer, International, Ciena.


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