The Infineon TDM24745T power module has been officially unveiled, marking a significant leap forward in power delivery architectures for advanced artificial intelligence data centers. As AI processors and GPUs demand increasingly massive amounts of power, Infineon Technologies AG has engineered this high-current-density quad-phase power module, integrated with cutting-edge TLVR (trans-inductor voltage regulator) technology, to meet the rigorous physical and thermal constraints of modern high-performance computing.
For engineers and system architects designing the next wave of AI accelerators, the struggle to balance power density, efficiency, and printed circuit board (PCB) real estate is a daily challenge. This new solution from Infineon addresses these exact friction points, providing a robust pathway to scale AI workloads without compromising on system footprint or energy consumption.
Engineering High-Density Power for AI Workloads
At the heart of modern AI servers lies the need for exceptionally responsive and compact power delivery. The Infineon TDM24745T power module sets a new benchmark by delivering an industry-leading current density that exceeds 2 A/mm². It achieves this through a masterclass in highly integrated packaging.
Within a remarkably compact 9 x 10 x 5 mm³ footprint, Infineon has successfully integrated:
- Four high-performance power stages
- A proprietary TLVR inductor
- Essential decoupling capacitors
This level of chip-embedded integration, powered by Infineon’s proven OptiMOS-6 MOSFET technology, ensures exceptional transient performance. It is specifically designed to support the high-current core rails required by the latest generation of GPUs and AI processors, functioning seamlessly in both lateral and vertical power delivery configurations.
Reducing Total Cost of Ownership (TCO) in Data Centers
Athar Zaidi, Senior Vice President and General Manager of Power ICs and Connectivity at Infineon, noted that as AI workloads scale at an unprecedented speed, the demand for highly efficient and extremely compact power delivery is paramount. By leveraging TLVR technology within such a small form factor, Infineon is enabling data centers to unlock greater compute performance while simultaneously curbing energy consumption.
One of the most significant advantages of the TLVR architecture used in this quad-phase module is its impact on system-level design. It can reduce the required output capacitance by up to 50 percent. For server designers, this translates directly to freed-up PCB space that can be repurposed for additional compute resources or enhanced cooling mechanisms. Ultimately, these space-saving, efficient layouts contribute to substantial energy savings and a drastically improved Total Cost of Ownership (TCO) across enterprise AI server platforms.
Scalability and the AI Ecosystem
As the industry’s first TLVR quad-phase module in this specific compact form factor, it boasts a peak current capability of up to 320 A. When paired with Infineon’s advanced digital multiphase controllers, the module facilitates flexible and scalable architectures that can adapt to the fast-evolving demands of AI environments.
Furthermore, this component integrates perfectly into Infineon’s broader end-to-end AI server power delivery ecosystem. By combining the unique benefits of silicon (Si), silicon carbide (SiC), and gallium nitride (GaN) technologies, Infineon is providing a comprehensive, grid-to-core approach to building sustainable, energy-efficient AI factories.
Looking Ahead: Infineon We Power AI Day
The broader implications of these power innovations will be a key focus at the upcoming “Infineon We Power AI Day,” scheduled to take place in Taipei on March 31. This industry event will gather business and technology leaders, alongside ecosystem partners, to explore the sustainable infrastructure required to power the future of artificial intelligence.
