AI Data Center Interconnects Consume Laser Chips at Unprecedented Rates
Hyperscale AI training clusters require vastly more optical interconnect bandwidth per facility than traditional data centers ever needed, since training workloads distribute computation across thousands of accelerator chips that must communicate at extremely high bandwidth with minimal latency. Each new large-scale AI cluster consumes laser chips at a rate that would have supplied several traditional data centers a few years ago, a demand shift manufacturers are still scrambling to size capacity investment around accurately. Several major cloud providers have signed multi-year supply agreements directly with manufacturers, bypassing traditional module intermediaries to guarantee allocation ahead of anticipated shortages.
Market Impact: Ties 28 percent of new capacity








