Key Takeaways
- • iPronics secures $125 million in Series B funding co-led by Maverick Silicon and Light Street Capital, with strategic participation from Nvidia, bringing total funding to $177 million as of September 2, 2026.
- • Nvidia's investment signals deepened commitment to optical circuit switching (OCS) technology, a critical infrastructure solution for managing power and bandwidth constraints in AI data centers as GPU clusters scale.
- • Valencia-based iPronics has developed a silicon photonics-based optical circuit switching platform designed to address connectivity requirements in AI infrastructure, enabling hyperscalers to expand GPU capacity while reducing power consumption and operational complexity.
- • Round participants include Triatomic Capital, Bosch Ventures, Catalight Capital, European Innovation Council Fund, The Tate Family Trust, Fine Structure Ventures, Amadeus Capital Partners, Build Collective, and Criteria Venture Tech, reflecting strong institutional confidence in OCS adoption trajectory.
- • CEO Christian Dupont emphasized the capital deployment will "significantly accelerate commercialization," positioning iPronics to capture market share as the industry transitions from copper-based to optical networking infrastructure in AI-driven data centers.
Summary
iPronics, a silicon photonics-focused startup based in Valencia, Spain, has announced a $125 million Series B funding round co-led by Maverick Silicon and Light Street Capital on September 2, 2026. The round brings the company's cumulative funding to $177 million and includes strategic participation from Nvidia alongside investment from a diverse consortium of venture and institutional investors including Triatomic Capital, Bosch Ventures, Catalight Capital, and the European Innovation Council Fund.
The capital deployment targets acceleration of commercialization for iPronics' optical circuit switching (OCS) platform, a silicon photonics-based solution engineered specifically for AI data center infrastructure. According to CEO Christian Dupont, the funding enables the company to "significantly accelerate commercialization, delivering the scale our customers need to drive broad adoption and ensuring data centers can fully utilize their GPUs without compromising performance."
Nvidia's participation in the round reflects strategic alignment with infrastructure providers addressing a critical bottleneck in AI cluster scaling. As artificial intelligence workloads expand exponentially, traditional copper-based networking infrastructure has become a limiting factor for data center performance. Manish Muthal, senior managing director at lead investor Maverick Silicon, noted that "the explosive growth of AI workloads has pushed traditional network infrastructure to its power and bandwidth limits, making optical circuit switching more critical than ever."
iPronics' platform responds to this demand by leveraging silicon photonics to create a compact, purpose-built optical switching solution that manages the connectivity requirements of large-scale AI infrastructure. The technology enables hyperscalers to manage multiple competing priorities simultaneously—expanding GPU capacity, controlling power consumption, and reducing operational complexity—as they build out next-generation data centers. The adoption of OCS is accelerating across AI data center networks, with deployments spanning multiple connectivity applications and hyperscaler implementations already underway.
This funding round demonstrates institutional conviction that optical networking will become foundational to AI infrastructure economics, with Nvidia's strategic investment signaling the company's commitment to ecosystem solutions that complement its dominant GPU business and address the full-stack requirements of large-scale AI deployments.
The capital deployment targets acceleration of commercialization for iPronics' optical circuit switching (OCS) platform, a silicon photonics-based solution engineered specifically for AI data center infrastructure. According to CEO Christian Dupont, the funding enables the company to "significantly accelerate commercialization, delivering the scale our customers need to drive broad adoption and ensuring data centers can fully utilize their GPUs without compromising performance."
Nvidia's participation in the round reflects strategic alignment with infrastructure providers addressing a critical bottleneck in AI cluster scaling. As artificial intelligence workloads expand exponentially, traditional copper-based networking infrastructure has become a limiting factor for data center performance. Manish Muthal, senior managing director at lead investor Maverick Silicon, noted that "the explosive growth of AI workloads has pushed traditional network infrastructure to its power and bandwidth limits, making optical circuit switching more critical than ever."
iPronics' platform responds to this demand by leveraging silicon photonics to create a compact, purpose-built optical switching solution that manages the connectivity requirements of large-scale AI infrastructure. The technology enables hyperscalers to manage multiple competing priorities simultaneously—expanding GPU capacity, controlling power consumption, and reducing operational complexity—as they build out next-generation data centers. The adoption of OCS is accelerating across AI data center networks, with deployments spanning multiple connectivity applications and hyperscaler implementations already underway.
This funding round demonstrates institutional conviction that optical networking will become foundational to AI infrastructure economics, with Nvidia's strategic investment signaling the company's commitment to ecosystem solutions that complement its dominant GPU business and address the full-stack requirements of large-scale AI deployments.
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