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Tower Semiconductor and Innolight Advance High-Performance Near-Package Optics for AI Infrastructure
Tower Semiconductor and Innolight announced continued collaboration on Near-Package Optics for AI infrastructure. Innolight's first NPO device entered early production using Tower's PH18M Silicon Photonics process at Tower's US California factory, and multiple NPO products were taped-out on Tower's 300mm platform.
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What happened
Tower Semiconductor and Innolight announced continued collaboration on Near-Package Optics for AI infrastructure. Innolight's first NPO device entered early production using Tower's PH18M Silicon Photonics process at Tower's US California factory, and multiple NPO products were taped-out on Tower's 300mm platform.
Confirmed
Global impact / market context
Near-Package Optics places optical links close to computing chips, which means faster data movement for AI workloads. If this production milestone grows into volume orders, Tower could gain foundry revenue from AI-related silicon photonics, while Innolight gains a manufacturing partner for its optical products.
Analyst inference
AI infrastructure demand is pushing hardware makers toward faster optical connections between chips. Tower positions its 200mm and 300mm Silicon Photonics platforms as high-volume manufacturing capacity, so this collaboration signals competition among specialty foundries to supply components for next-generation data center systems. Early production is a step before full commercial scale.
Analyst inference
What to watch
- Innolight's first NPO device entered early production using Tower's PH18M Silicon Photonics process at Tower's US California factory, and Innolight taped-out multiple NPO products on Tower's 300mm platform. Confirmed
- Watch whether the companies disclose conversion of early production into larger volume orders, which would show whether Near-Package Optics moves from development toward commercial supply for AI infrastructure. Proposed
- Track Tower's silicon photonics capacity use and capital spending, because higher NPO demand could require more manufacturing investment and affect revenue timing, costs, and cash available. Analyst inference