Conquer Electronics: Leading the Fuse Industry Innovation for the AI Era

· Source: Big Data & AI News - EE Times · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Emerging Technologies & Innovation · Depth: Intermediate, medium

Summary

Conquer Electronics, a Taiwanese fuse manufacturer, received the "Best Discrete of the Year" award at EE Awards Asia 2025 for its KCF Series, marking its second consecutive win. The company specializes in high-reliability fuse solutions critical for next-generation AI servers, power systems, and data centers. Conquer's KCF Series features a 500VAC voltage rating, 80A current-carrying capability, and a 30kA interrupting rating, utilizing spot welding instead of conventional soldering for improved stability and reliability in high-power GPU server applications. The company also offers ceramic-body fuses for 48V AI server architectures and liquid-cooled systems, with its 48MH Series adopting a flat-profile design for optimized heat dissipation. Conquer invests 7.5% of its annual revenue in R&D and maintains a 40-person engineering team, focusing on the "5S" principle for future high-voltage DC environments.

Key takeaway

For CTOs and VP of Engineering evaluating power protection for AI infrastructure, Conquer Electronics' specialized fuse technology, particularly the KCF and 48MH Series, offers enhanced reliability and performance for high-power, high-temperature, and liquid-cooled environments. You should consider their solutions for 48V AI server architectures and high-density GPU applications to ensure system stability and reduce downtime, leveraging their in-house certification capabilities for faster integration.

Key insights

High-reliability fuses are critical for next-generation AI servers and power-dense computing environments.

Principles

Method

Conquer Electronics employs advanced 3D thermal simulation tools for early design evaluation and conducts in-house UL- and TÜV-certified testing to accelerate safety certification and product readiness.

In practice

Topics

Best for: CTO, VP of Engineering/Data, AI Architect, MLOps Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Big Data & AI News - EE Times.