In traditional enterprise data centers, optical modules are usually classified as “accessories,” an ancillary item in switch procurement, and their cost share is not high. But in AI training clusters, this role is undergoing a fundamental change. As network speeds move from 400G to 800G and 1.6T, the weight of optical modules in infrastructure costs continues to rise, and in some configurations, the cost of high-speed optical modules has already exceeded the switch ports they connect to.
Behind this change is a profound evolution in AI cluster network architecture. In a typical thousand-GPU training cluster, GPU-to-GPU interconnection requires tens of thousands of high-speed optical modules. Taking 800G modules as an example, the price per module ranges from several hundred to over a thousand US dollars, and the optical module procurement amount for a medium-sized AI Pod can reach the order of millions of US dollars. When cluster scale expands to the ten-thousand-GPU level, cumulative investment in optical modules becomes an item that needs to be listed separately in capital expenditure planning.
Facing this change, the evaluation framework for procurement decisions needs to be updated in tandem. Unit price comparison is only the starting point; true cost analysis needs to cover three levels. The first level is the procurement cost of the module itself; price transparency at this level is relatively high, and quotation differences among major suppliers mainly come from technology routes and capacity efficiency. The second level is deployment and O&M cost, including the impact of module power consumption on data center power and cooling systems, the occupation of O&M labor by failure rates, and network downtime caused by module replacement. The third level is architecture-level cost, namely how the choice of optical modules affects switch selection, fiber infrastructure configuration, and the flexibility of future upgrade paths.
Under this analytical framework, the value of optical modules with low-power designs becomes prominent. If the power consumption of an 800G module is reduced from 17 W to below 10 W, in a data center with tens of thousands of modules deployed, the annual electricity savings can offset a considerable portion of the procurement premium. Likewise, a backward-compatible package type means that the 400G modules you deploy in the first phase can continue to be used in the second phase, avoiding the waste of “throw away and buy again.”
Another cost dimension that is easily overlooked is the hidden investment in certification and validation. Every newly introduced optical module needs to complete interoperability testing, performance benchmarking, and long-term stability verification in a real network environment. If a supplier can provide a local technical support team and testing resources in North America, the shortening of this validation cycle itself has quantifiable economic value. Industry data shows that geographic proximity between North American data center operators and local technology suppliers is becoming a practical factor in shortening the certification cycle for 800G and 1.6T modules.
If you are budgeting for an AI data center project, it is recommended to separate the cost analysis of optical modules from the “procurement list” and conduct it as a standalone return-on-investment assessment. Ask yourself three questions: What is the total cost of ownership of this batch of optical modules over a five-year period? How large is the impact of their power consumption performance on PUE? Can the supplier’s technical support capability reduce your O&M risk and upgrade costs? Once these three questions are answered clearly, the optical module procurement decision is no longer about comparing prices, but about true value investment.
