Samsung Supplies Silicon Capacitors for Marvell’s Next-Gen AI Chip Platform

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Samsung Electro-Mechanics has reportedly begun mass production and supply of silicon capacitors to Marvell Technology. Based in California, US, the semiconductor firm makes high-performance data infrastructure and AI chips. It competes against Nvidia, the global leader in the AI chip industry.

Samsung secures AI chip deal with Nvidia’s competitor Marvell

Marvell is using Samsung-made silicon capacitors in its latest AI accelerator multi-die packaging platform, which is designed to power the next generation of AI workloads with improved efficiency and stability. The Korean firm started delivering these capacitors in the first quarter of this year. It provided prototype samples for early testing last year.

Silicon capacitors are particularly ideal for high-speed data processing environments, where minimizing signal loss and optimizing power delivery is essential. These advanced capacitors are engineered using silicon wafer technology, offering advantages such as ultra-thin profiles and tight integration near high-performance processors, which is critical for maintaining power stability and signal integrity in AI-centric multi-die architectures.

With AI models becoming increasingly complex, components like these help ensure stable operation under intense computational loads. This supply milestone comes as part of Samsung Electro-Mechanics’ broader push into next-generation electronic components. Speaking earlier this year at CES 2025 in Las Vegas, CEO Jang Deok-hyeon confirmed that the company had secured two major clients for its silicon capacitor line.

The company is now preparing a pilot line for glass substrates, which are increasingly important for advanced semiconductor packaging. Additionally, it aims to supply all-solid-state battery prototypes to key partners this year. The company has already begun mass production of hybrid lenses.

The successful supply of silicon capacitors to Marvell marks a significant milestone in Samsung’s journey to become a major player in the AI chip supply chain. Unfortunately, the company is struggling to penetrate the HBM market, having failed Nvidia’s quality test multiple times. It’s now preparing to undergo another round of quality evaluation from Nvidia later this year.

Written by

Sumit Adhikari

Sumit, a life-long Samsung user, is passionate about technology and has been professionally writing on tech since 2017. He’s a mathematics graduate by education and enjoys teaching basic mathematics tricks to school kids in his spare time. Sumit believes in artificial intelligence and dreams of a fully open, intelligent and connected world.

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