Infineon has entered into a collaboration with AI Inferencing chip expert d-Matrix, where Infineon’s power solutions are used in d-Matrix’s Corsair inference accelerator to support performance, energy efficiency, and system integration in high-density boards.
The collaboration incorporates Infineon OptiMOS TDM2254xx dual-phase power modules, which enable true vertical power delivery and provide a power density of 1.0 A/mm².
AI inference involves applying a trained machine learning model to new data to generate predictions, classifications, or decisions. These models process inputs using learned parameters to produce outputs without additional training, with hardware optimized for performance, latency, and power efficiency at data center scale.
“Infineon has been collaborating with customers specializing in inference processors, such as d-Matrix, from the early days when the industry was mostly focused on training hardware,” said Raj Khattoi, Vice President and General Manager of Consumer, Computing and Communication at Infineon. “These early, strategic engagements have positioned Infineon as a leader in the inference hardware industry, further extending our leadership in powering AI with semiconductor solutions for both inference and training processors.”
“AI is rapidly moving from back-office experimentation to a real-time interactive experience – and that shift demands a fundamentally different compute architecture. Corsair was purpose-built for this moment: delivering the sub-2ms token latency that interactive applications require, at multiples better energy efficiency than traditional approaches,” said Sid Sheth, founder and CEO of d-Matrix. “Infineon has been a design partner since the inception of our platform, and their power semiconductors are a meaningful contributor to our ability to deliver what the market demands."
d-Matrix has optimized its AI inference platforms for power and performance using Infineon’s power semiconductors. Typical use cases include response generation using large language models (LLMs), agentic AI applications, and predictive analytics in finance and healthcare.
As AI workloads scale, demand for efficient and reliable power solutions in data centers is increasing. Infineon’s portfolio of power semiconductors based on silicon (Si), silicon carbide (SiC), and gallium nitride (GaN) supports applications across training and inference markets, enabling higher power density, improved energy efficiency, and system integration from grid to core.
