The Growing Chat GPT, Impact on Optical Modules
Chat GPT first drove the demand for high-computing power servers and GPUs. Since this year, 75% of the hardware's computing power has been used for training models, and 25% has been used to cope with access. This is because the daily access volume is currently only in the range of tens of millions to billions. It is not ruled out that it will become hundreds of millions of access volume next year. In this case, the proportion of training computing power and access computing power will be reversed, and data center investment will also increase
According to historical investment experience data, approximately for every 10 billion US dollars of data center investment, 6 billion US dollars will be used for plant, power equipment and air-conditioning, and the remaining 4 billion US dollars, 16% will be used for data center interconnection, 77% will be used to buy servers, 4% will be used to buy switches, and 3% will be used to buy optical modules.
For the sake of convenience, Before the calculation, we need to explain the data center architecture and computing assumptions.
We cannot use high-speed optical modules such as 400G and 800G near the server, because the branches are so high in bandwidth that it makes no sense to have the same rate of bandwidth on the switch that is in the flow aggregation.
What kind of optical modules are needed?
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The data center architectures of each company are not the same, so unless you have data center design drawings, it is impossible to estimate the demand for optical modules accurately. However, the number of optical modules is typically several times to an order of magnitude higher than that of servers.
Tanlink has high-precision COB equipment and the industry-leading COB manufacturing capabilities of 10G/25G/40G/100G/200G/400G AOC and DAC. Short-distance 100m-10KM modules can realize commercial-grade, full-temperature error-rate-free transmission, and can be produced in large quantities in a timely manner.
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