Technical Features

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Brent McDonald, system and applications engineer, Texas Instruments

Introduction Large language models are revolutionizing how we access data and artificial intelligence (AI) advancements are disrupting how industries and societies use data center computing resources. Instead of typing keywords into a search engine, we are at the point where we can ask AI a question, much

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Date:

04/29/2026

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Figure 1: An example using the Saf-D-Grid Max connector demonstrates that, at constant ambient temperature, connector temperature increases as applied current increases

Why Higher Rack Density is Changing Interconnect Designs

Ken Williams, Product Manager, Anderson Power

AI acceleration and high-performance computing (HPC) architectures are fueling an unprecedented rise in data center demand. Goldman Sachs expects global data center power demand to surge +160% by 2030, and AI server racks in 2027 will require 50x more power than cloud equivalents five years ago. To meet this

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Date:

05/01/2026

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Figure 1: AI scaling laws show that larger models trained with exponentially more compute consistently achieve better performance

Powering the AI Revolution: Navigating the Gridlock and the Future of Onsite Generation

James Feasey, Senior Director of AI Infrastructure at Endeavour

The rapid growth of AI is driven by compute deployment at an unprecedented pace. AI scaling laws show that larger models trained with exponentially more compute consistently achieve better performance. For leading technology companies, the implication is clear: the most effective way to improve AI systems is

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Date:

05/01/2026

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Figure 1: TRIA SM2S-QCS6490 - Compute Module by Tria

Hardware and Software Understanding Delivers High-Performance Embedded AI

Christian Bauer, Product Marketing Manager, Tria Technologies

Developers and users of the embedded systems that control industrial and other real-time processes can use the cloud to embrace AI capabilities. But there is a growing need for local AI processing to overcome problems associated with the need for a persistent and unbroken connection to the cloud servers. Numerous se

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Date:

05/01/2026

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Figure 1: Raspberry Pi Pico Thermal Demo in GPStudio

Generative Physics: Why AI's Next Breakthrough Will Be Engineered, Not Generated

Wasil Rezk, CCO, BeyondMath

The artificial intelligence revolution has, until now, been overwhelmingly digital. Large language models write code and compose text. Image generators produce photorealistic art on command. Recommendation engines decide what billions of people watch, read, and buy. These are remarkable achievements, but they sh

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Date:

05/01/2026

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Figure 1: The Knowledge Ingestion Pipeline: How LLMs and VLMs absorb expertise from human video demonstrations and technical documents to generate robot task policies

Smarter Together: How Agentic AI and Cobots Are Transforming Industrial Operations

Dijam Panigrahi, Co-founder & COO, GridRaster, Inc.

Agentic AI provides the “brain” for autonomous decision-making, while cobots provide the physical presence—with the sensors, force limitations, and safety-by-design required to work alongside humans in complex operational environments. Together, they form a more capable system than either technology al

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Date:

05/01/2026

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Figure 1: 48V data centre power delivery to rack

Protection and Telemetry in AI with 800V Hot Swap

Donal McCarthy, Marketing Director of Data Centre Power, Analog Devices

As AI workloads intensify, GPUs in server environments are driving unprecedented power demands - prompting a shift toward an 800V power delivery architecture at the rack level. This elevated voltage introduces new challenges for system protection and monitoring, particularly during live tray insertion and re

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Date:

05/01/2026

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Enabling Grid-Ready Data Centres

Mike Torbitt, Managing Director, Cressall Resistors

In December 2025, the UK's National Energy System Operator (NESO) announced the results of its major overhaul of the UK’s grid connection process, removing speculative schemes and introducing a readiness-based system. While this affects all electricity projects, it raises the bar for data centres, which mus

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Date:

05/01/2026

Powering AI Infrastructure

Apr 29,2026

Brent McDonald, system and applications engineer, Texas Instruments

Transformer Design Comparisons for Mitigating EMI in Gate Driver Circuits

Mar 29,2026

Matthew Russell, Master’s student at University College Cork, and a student engineer at Bourns Electronics Ireland

Smart Consideration of Inductor Thermal Performance for DC-DC Converter Performance and Reliability

Feb 28,2026

Len Crane, Director of Technical Marketing

1250 V/1700 V GaN HEMTs for NVIDIA 800 VDC Architecture

Jan 31,2026

Kamal Varadarajan & Chris Lee, Power Integrations

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Power Systems Design is a leading global media platform serving the power electronics design engineering community. It delivers in-depth technical content, industry news, and product insights to engineers and decision-makers developing advanced power systems and technologies.

Published 12× per year across North America and Europe, Power Systems Design is distributed through online and fully digital editions, complemented by eNewsletters, webinars, and multimedia content. The platform covers key areas including power conversion, semiconductors, renewable energy, automotive electrification, AI power systems, and industrial applications—supporting innovation across the global electronics industry.

Technical Features

Powering AI Infrastructure

Transformer Design Comparisons for Mitigating EMI in Gate Driver Circuits

Smart Consideration of Inductor Thermal Performance for DC-DC Converter Performance and Reliability

1250 V/1700 V GaN HEMTs for NVIDIA 800 VDC Architecture

Power Systems Design

Power Systems Design

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