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Tickets for the PCIM Expo & Conference 2026

Ready for the future? Take off into the world of power electronics with your ticket – full of innovations, trends, and new impulses. Secure your ticket now:

Powering the AI Revolution

The enormous demand for electrical power generated by artificial intelligence (AI) data centres is driving an unprecedented transformation of power infrastructure — with installations on the grid side and inside data centres demanding power electronics at a scale, efficiency, and density never seen before.

WHY THIS MATTERS NOW

Still thinking about AI & Data Centers?

As AI workloads grow and digital infrastructure expands, data centers and power systems are evolving faster than ever. What used to be separate conversations, computing and power delivery, are now becoming one engineering challenge.

PCIM News Platform

Rapid AI growth is driving demand for hyperscale data centres, increasing energy and water use and raising sustainability concerns. (Source: © Joachim - stock.adobe.com)

AI and the environment: what's the real cost of technological innovation?

Data center demand is expected to rise sharply through 2030, with AI workloads driving a growing share of that expansion. Who bears the environmental cost – and what does it mean for power electronics engineers building the infrastructure that makes AI possible?

Read on the PCIM News Platform

INDUSTRY VOICE

"Power electronics is the backbone of modern AI data centers. From grid-to-chip, every stage of power delivery determines performance, scalability, and efficiency."

Data Centers are becoming power infrastructure

The rapid growth of digital infrastructure is transforming data centers from IT facilities into highly complex energy systems. Power density is rising. Cooling requirements are increasing. Grid integration is becoming more dynamic – and power electronics is at the center of every layer.

Architecture Shift

From 12V to 48V and beyond

  • 48V rack architectures becoming standard
  • HVDC (High Voltage Direct Current) reducing conversion stages and losses
  • Point-of-load conversion challenges increasing

Thermal Management

Cooling becomes a power challenge

  • Liquid cooling moving into mainstream deployment
  • Immersion cooling gaining relevance
  • Cooling efficiency directly impacting the Power Usage Effectiveness (PUE)

Power Supply Design

Reliability at hyperscale

  • Titanium-rated PSUs becoming increasingly common
  • Modular architectures for fault tolerance
  • Dynamic power management for AI workloads

Grid Integration

Data centers as grid participants

  • Renewable integration and storage
  • Demand response capabilities
  • Microgrid architectures for resiliency

AI systems: where the power engineering begins

Behind every large language model, every image generator, every autonomous vehicle inference system – there is a power electronics architecture making it possible.

AI is not just a software challenge, it is changing how power systems need to respond: faster, denser, and more efficient.

PCIM News Platform | Expert Analysis

Rising AI workloads are driving demand for more efficient and higher-density power delivery, accelerating the adoption of GaN technologies. (Source: © KanStockPng - stock.adobe.com)

AI is nothing without power: why GaN is becoming the backbone of the intelligence era

The AI revolution is simultaneously a hardware revolution. GaN technology is enabling the dense, high-frequency power conversion that AI accelerators demand – from cloud training infrastructure to edge inference. A deep dive into the engineering behind the intelligence era.

Expert analysis from Maurizio Di Paolo Emilio – Read on the PCIM News Platform

Training Infrastructure

Power at the frontier

  • Tight voltage regulation for AI accelerators
  • High-efficiency bus converters
  • Energy storage for load smoothing

Inference at Scale

From cloud to edge

  • GaN-based dense converters
  • Compact edge power architectures
  • AI-enabled device power management

Digital Power Management

AI managing power systems

  • Predictive maintenance
  • AI-optimized cooling control
  • Digital twins for system simulation

Sustainability

Can AI be green?

  • SiC-based high-efficiency conversion
  • Renewable integration
  • Carbon-aware power management