OpenLight and Tower Semiconductor Unveil 400G Modulators for AI and Data Centers
OpenLight and Tower Semiconductor have successfully demonstrated a 400G/lane modulator on Tower's integrated silicon photonics platform, PH18DA, announced in a press release. This innovation is aimed at supporting next-generation 3.2T optical communication architectures for data centers and AI applications.
The demonstration utilized OpenLight's intellectual property on Tower's existing platform, which already supports 100G and 200G/lane. The 400G/lane modulator achieves a better than 3.5db extinction ratio using the PAM-4 modulation format at a drive voltage of 0.6 volts peak-to-peak. This advancement provides a scalable solution for high-speed data transfer, operating across all four CWDM wavelengths.
The collaboration between OpenLight and Tower Semiconductor offers a cost-effective and manufacturable solution for 400G/lane, addressing the limitations of pure silicon-based modulators. The platform integrates heterogeneous devices, including lasers and optical amplifiers, into a single photonic integrated circuit, enhancing performance and efficiency for datacom and AI applications.
We hope you enjoyed this article.
Consider subscribing to one of several newsletters we publish like Silicon Brief.
Also, consider following us on social media:
More from: Chips & Data Centers
Subscribe to Silicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Whitepaper
Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation
The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.
Read more