Infineon buys India's C2i Semiconductors to boost AI data center power tech
What's the deal? Infineon TechnologiesDealroom has a profile for this one. Try Dealroom → has acquired C2i Semiconductors, a Bangalore-based company specialising in software-defined multiphase controllers and smart power stages for AI data centers. The German chipmaker announced the deal on August 24, 2026, with closing expected in the third quarter of calendar year 2026. Terms were not disclosed.
What does C2i do? The startup builds intelligent digital power management and system-level power architectures, including vertical power delivery such as Substrate Integrated Voltage Regulators (SIVR). Its technology adds software control to power delivery, helping data centers respond to the fast, shifting demands of AI processors.
Why now? AI servers create highly dynamic power demands, forcing delivery systems to react faster and more precisely while staying efficient. C2i's system-level approach spans "from grid to core," aiming to cut power losses and support rising power density in next-generation AI chips.
What's the endgame? Infineon plans to combine C2i's digital power expertise with its own portfolio of silicon, silicon carbide, and gallium nitride technologies. The goal is to accelerate software-defined power architectures and future SIVR solutions.
The deal also expands Infineon's engineering footprint in India. "This acquisition will further strengthen Infineon's leadership in power solutions for AI data centers and create a new center of excellence for digital power technologies in India," said Adam White, president of Infineon's Power Systems division.
Founder and chief executive officer Ram Anant said joining Infineon gives C2i "access to world-class semiconductor technologies, manufacturing capabilities, and global customer relationships."
The signal: As AI infrastructure strains power budgets, chipmakers are treating power delivery as a competitive edge, not a commodity. Infineon's bet on software-defined power — and on India as an R&D hub — reflects where the AI data center race is heading next.
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