DoIT Unveils 3.2T Silicon Photonics Optical Engine at TIE
More Than 20 Partners Join Forces to Capture AI Computing Opportunities

Among the featured innovations is the 3.2T Silicon Photonics (SiPh) Optical Engine Technology, developed by the Industrial Technology Research Institute (ITRI) with support from DoIT.
As demand for AI computing continues to surge, the volume of data moving through data centers is also growing rapidly, pushing conventional copper interconnects toward their bandwidth limits. The challenge is comparable to growing traffic overwhelming a city's roads: adding more lanes can help only so much. A fundamentally more efficient way of moving data is needed.
ITRI's 3.2T SiPh Optical Engine Technology addresses this challenge by using light rather than electrical signals to transmit data through multiple integrated high-speed channels. It delivers a total transmission capacity of 3.2 Tbps, or approximately 400 GB per second—twice the capacity of the previous 1.6T generation and equivalent to the data volume of about 20 4K movies. Light-based transmission also reduces signal loss and heat generation compared with conventional copper interconnects.
To accelerate commercialization, ITRI has assembled a network of more than 20 supply chain partners spanning chip design, fabrication, testing, and packaging. ITRI has also collaborated with international companies to advance specifications for 3.2T technology. These efforts are strengthening
DoIT-supported innovation is also addressing pressing healthcare needs.
Conventional testing requires blood samples to be collected before and after dialysis and sent to a laboratory for analysis. Results take three hours and often become available only after the treatment session has ended, limiting physicians' ability to make timely adjustments.
To address this problem, ITRI has developed DiaTrack, a middle-to-large-molecule uremic toxin detection technology, also with support from DoIT. DiaTrack connects directly to the effluent port of a dialysis machine and analyzes toxin types and concentrations every 15 minutes. This gives physicians timely insight into toxin clearance while treatment is underway and provides data to support personalized adjustments to dialysis settings, shifting dialysis quality assessment from post-treatment evaluation to in-treatment monitoring.
The technology has completed proof-of-concept testing in collaboration with National Cheng Kung University Hospital. The collaborative work received a National Innovation Award, and a pilot deployment at the hospital is planned for the fourth quarter of 2026.
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SOURCE Industrial Technology Research Institute (ITRI)
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