TECHNOLOGY · DEV
Optical Networking Emerges as New Bottleneck in AI Infrastructure Race
As hyperscalers build larger AI clusters, the capacity to move data between accelerators at scale is becoming as critical as securing GPUs and memory
KEY TAKEAWAYS
- ·Optical transceivers moving data between AI accelerators are emerging as a critical bottleneck as training clusters scale to tens of thousands of GPUs.
- ·Hyperscalers are deploying 1.6-terabit optical modules in volume, with suppliers like Zhongji Innolight reporting demand-driven revenue surges and multi-quarter lead times.
- ·Asia's concentration of optical component manufacturers gives regional hyperscalers shorter lead times, while 3.2T and 6.4T modules are already on roadmaps for 2027-2028 deployment.
Cheng Wei-Lun · 4 min read
