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Solid-State Transformer (SST) for AI Data Centers

Efficient, Scalable Power Architectures for High-Density AI Workloads


Solid-State Transformers (SSTs) are redefining power delivery for next-generation AI data centers as traditional AC-based architectures struggle to meet rising demands for efficiency, power density and scalability. Multiple conversion stages, increasing rack power levels and dynamic AI workloads introduce significant energy losses, thermal challenges and system complexity.

SSTs address these limitations by enabling direct medium-voltage to high-voltage DC conversion, reducing conversion steps and improving overall system efficiency. Their fast transient response supports highly dynamic AI workloads, while precise voltage control improves power quality and reliability. By enabling compact, modular designs that reduce infrastructure footprint and simplify deployment, SSTs provide a scalable foundation for high-density AI data center power systems.

We address these challenges with a comprehensive portfolio of silicon carbide (SiC) power devices, controllers and modules that enable high-frequency switching, precise voltage regulation and direct medium-voltage to DC power conversion. Our solutions support advanced SST architectures that help operators reduce conversion losses; improve power quality and design compact, scalable power systems optimized for AI performance.

Why Use Our Solutions for SST Design?


End to End Solid State Transformer Solutions

End-to-End Solution Coverage

  • 1.7 kV and 3.3 kV SiC devices and modules, control and protection in one portfolio
  • Support complete AC-DC, DC-DC and system protection stages
Silicon Carbide (SiC) Solid-State Transformer (SST) Solutions

High-Performance SiC Technology

  • Purpose-designed 62 mm package for modular 1 MW–5 MW SSTs
  • mSiC® solutions for high-efficiency, high-voltage, fast switching operation
Design Tools for Solid-State Transformers (SST)

Design Acceleration and Validation

  • Proven reference designs and evaluation platforms
  • MPLAB® SiC Power Simulator, SPICE and PLECS models
Flexible and Scalable Solid-State Transformer (SST) Architecture

Flexible and Scalable Architectures

  • Support multiple SST topologies and deployment models
  • Enable modular, scalable power system design

Interactive SST System Overview


A typical SST system converts medium-voltage AC into regulated high-voltage DC using multiple power electronic stages, including AC-DC conversion, high-frequency isolated DC-DC conversion and DC output regulation. Our components support each stage of this architecture, enabling efficient switching, precise control and robust protection. This system-level approach simplifies power delivery from the grid to AI compute loads, while improving efficiency, scalability and performance.

Solid-State Transformer (SST) Block Diagram

SST Architecture for AI Data Centers


Solid-state transformer architectures enable direct medium-voltage to high-voltage DC conversion, supporting emerging 800V and ±400V data center distribution. These systems use scalable topologies such as cascaded H-bridge designs to support multi-megawatt operation while improving efficiency, power quality and system flexibility.

Typical medium-voltage SST deployments at 13.8 kV deliver 2 to 2.5 MW per system and rely on hundreds of SiC power modules. As power requirements grow, designs are evolving from 1200V devices toward 3.3 kV SiC modules such as HV-D3 mSiC power modules to reduce component count and simplify architecture.

Core SST benefits include:

  • Higher efficiency over legacy transformer technology
  • Direct DC output, which enables fewer conversion stages
  • Precise voltage regulation
  • Reactive power compensation
  • Harmonic mitigation and filtering
  • Intelligent energy management
  • Bidirectional power flow
  • Fast response to dynamic loads and fault events
  • Modular and scalable architectures

Optimize AI Data Center Power Efficiency With SiC


Discover how SiC is transforming power delivery in next-generation AI data centers. As AI workloads increase power demand and strain traditional AC architectures, emerging approaches such as 400V DC distribution and advanced SiC technologies enable higher efficiency, reduced energy losses and improved system reliability. Our mSiC solutions help designers simplify power conversion, enhance scalability and build more efficient data center infrastructure.

3.3 kV HV-D3 Silicon Carbide mSiC® Power Modules for Solid-State Transformer (SST) Applications

HV-D3 mSiC® Power Modules

HV-D3 power modules enable high-voltage SST architectures with support up to 3.3 kV, which reduces component count and simplifies system design. Optimized for low switching losses and high thermal performance, these modules deliver high efficiency and power density for multi-megawatt SST systems and advanced medium-voltage DC power distribution applications.

SP6 Silicon Carbide mSiC® Power Modules for Solid-State Transformer (SST) Applications

SP6 mSiC Power Modules

SP6 mSiC power modules provide low-inductance, high-performance switching for SST power conversion stages using 700V to 1200V SiC devices. Designed for high-frequency operation, these modules enable efficient AC-DC and DC-DC conversion, which improves power density, reduces losses and supports scalable SST architectures in high-power AI data center applications.

Digital Signal Controllers (DSC) for Solid-State Transformer (SST) Applications

dsPIC33A Digital Signal Controllers (DSCs)

These DSCs provide high-performance, real-time digital control for SST architectures. Optimized for power conversion, these DSCs enable precise control of AC-DC and DC-DC stages, which supports high-speed control loops, system monitoring and advanced algorithms to improve efficiency, stability and overall SST system performance in AI data centers.

Silicon Carbide (SiC) Simulation Tools for Solid-State Transformer (SST) Applications

MPLAB® SiC Power Simulator

This SiC design tool lets engineers simulate mSiC® MOSFET and module performance to analyze electrical and thermal behavior for more accurate power system design.

SiC SPICE/PLECS Component Models for Solid-State Transformer (SST) Applications

SPICE/PLECS Component Models

These SiC SPICE and PLECS models enable detailed simulation of the electrical and thermal characteristics commonly found in our mSiC devices.

Reference Designs for Solid-State Transformer (SST) Applications

SiC Reference Designs and Evaluation Tools

Our range of SiC hardware tools, including reference designs and evaluation boards, enable rapid prototyping and validation of high-power conversion stages to help you evaluate switching performance, thermal behavior and system efficiency, while reducing development risk and accelerating time to market for SST-based architectures.

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