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Marvell’s Celestial AI Acquisition Reduces Interconnect Power by >80%; GlobalFoundries Forecasts Doubling Silicon Photonics Revenue by 2025

NAI 500 USA
Overview
Silicon photonics is solving the ‘copper problem’ in AI clusters, enabling faster data speeds, increased bandwidth, and reduced power consumption. Marvell acquired Celestial AI, reducing interconnect power consumption by over 80% with its Photonic Fabric technology. GlobalFoundries predicts its silicon photonics revenue will double in 2025 and again in 2026, planning to launch a silicon photonics and advanced packaging CPO facility in Malta, NY, in 2025. This trend indicates rapid adoption of optical technology in AI infrastructure.
In Depth

Key Findings

Silicon photonics technology is playing a central role in resolving the ‘copper problem’—the limitations of traditional electrical interconnects—faced by artificial intelligence (AI) clusters, enabling dramatic improvements in data speeds, increased bandwidth, and significant reductions in power consumption. Marvell has reported that its acquisition of Celestial AI and its Photonic Fabric technology has reduced interconnect power consumption by over 80%. Concurrently, GlobalFoundries predicts its silicon photonics revenue will double in 2025 and again in 2026, clearly demonstrating the strong growth momentum in this market.

Technical / Clinical Details

Celestial AI’s Photonic Fabric technology, acquired by Marvell, uses photons for data transfer between AI chips, achieving significantly higher power efficiency compared to traditional electrical signal pathways. A reduction of over 80% in power consumption is critical for substantially lowering the operational costs of AI data centers and mitigating their environmental impact. GlobalFoundries, a key foundry in silicon photonics manufacturing, plans to launch a dedicated silicon photonics and advanced packaging Co-Packaged Optics (CPO) facility in Malta, New York, in 2025. This new facility will enable the mass production of CPO solutions that integrate chips and optical transceivers into the same package for AI accelerators and high-performance computing, driving further performance enhancements and power efficiency optimization.

Background & Context

The explosive growth of AI workloads is placing unprecedented demands on data center computing infrastructure. Particularly in GPU clusters, the ‘memory wall’ problem, where data movement consumes more power and time than computation itself, has become acute. Traditional copper wiring faces physical limits such as signal attenuation, heat generation, and electromagnetic interference at higher speeds, hindering further AI scaling. Consequently, semiconductor giants like NVIDIA, Intel, and Broadcom are accelerating massive investments in optical technologies. Marvell’s acquisition of Celestial AI and GlobalFoundries’ capital investments are part of a broader trend where the entire AI industry is deeply integrating optical technology into its infrastructure to realize next-generation AI computing.

Strategic Significance & Outlook

Marvell’s achievement of over 80% power consumption reduction and GlobalFoundries’ forecast for doubling silicon photonics revenue indicate that silicon photonics technology is indispensable for shaping the future of AI data centers. These advancements will enable the training and inference of larger and more energy-efficient AI models, elevating AI capabilities to new levels. GlobalFoundries’ new facility in Malta is likely to accelerate the mass production of co-packaged optics technology, potentially becoming a standard in AI chip design. In the future, this technology is expected to proliferate into all fields requiring high bandwidth and low latency, such as autonomous vehicles, AR/VR, and quantum computing, fostering widespread technological innovation. This strong market growth underscores that optical technology is an essential component in forming the foundation of next-generation digital infrastructure.

Source: https://nai500.com/blog/2026/07/silicon-photonics-stock-pileup-mrvl-avgo-crdo-gfs-cohr/

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