NVIDIA Invests $4 Billion in Silicon Photonics to Drive Next-Generation AI Data Center Transformation
The rapid growth of generative AI models and cluster sizes is exposing bandwidth, latency and power-consumption constraints in copper-based data transmission between GPUs. Silicon photonics transmits signals using light, while co-packaged optics (CPO) places optical engines closer to switch chips, improving bandwidth and energy efficiency. NVIDIA’s push could also create opportunities for Taiwanese suppliers involved in technologies such as TSMC’s COUPE platform and ASE Technology’s advanced packaging.
On March 2, 2026, NVIDIA announced multiyear strategic agreements with Lumentum and Coherent, investing $2 billion in each company for a combined $4 billion. The agreements cover research and development, U.S. manufacturing capacity and operations, and include purchase commitments and rights to advanced optical-product capacity. After NVIDIA invested another $2 billion in Marvell on March 31, its related optical and silicon-photonics investments rose to $6 billion.
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The history behind this eventNVIDIA Invests $2 Billion in Marvell to Deepen AI Data-Center, Silicon Photonics Ties
The expansion of AI data centers has made high-speed chip-to-chip connectivity critical to both performance and power consumption. NVIDIA is building an AI ecosystem around NVLink, while Marvell specializes in custom chips, data-center interconnects and silicon photonics. Their partnership could help integrate computing, networking and optical technologies while strengthening NVIDIA’s position in next-generation AI infrastructure.
NVIDIA announced a $2 billion investment in Marvell in July 2026 to deepen their AI data-center collaboration. Marvell will introduce custom-chip solutions compatible with NVLink Fusion, while the companies will jointly develop advanced silicon photonics and optical interconnect technologies. The announcement drew attention across the supply chain, with related reports saying TSMC shares rose more than 5% at one point.
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