EPC to show GaN power tech for AI, robotics and space at Electronica 2026

Efficient Power Conversion will demo new gallium nitride devices and reference designs at Electronica 2026 in Munich from Nov. 10-13. The lineup targets AI power delivery, humanoid robots, drones, autonomous machines and radiation-hardened space electronics.

Why it matters: - GaN is becoming a core power platform for faster, smaller and more efficient systems across AI infrastructure, robotics and space hardware. - EPC is using Electronica 2026 to show how its devices fit power delivery, motor control and radiation-hardened designs in one booth. - The demonstrations point to a broader shift toward higher-voltage AI power chains and more compact motion systems.

What happened: - Efficient Power Conversion will exhibit at Electronica 2026 from Nov. 10-13 in Munich, Germany. - EPC will be at Hall C6, Booth 221. - The company will show eGaN FETs, integrated power stages and reference designs. - EPC will also host live technical sessions at the booth during the show.

The details: - EPC will demonstrate GaN solutions for artificial intelligence, physical AI, robotics, autonomous machines and space electronics. - The AI power lineup spans the delivery chain from 800 VDC distribution to point-of-load conversion. - EPC will show the EPC91123 6 kW 800 V-to-12.5 V ISOP LLC converter. - EPC will also show a new 6 kW 800 V-to-6 V converter designed to move high-voltage power closer to next-generation AI processors. - Gen8 GaN power-stage technology is aimed at ultra-high-frequency, low-voltage conversion. - Gen8 is also positioned for direct conversion from about 6.25 V to sub-1 V processor rails at multi-megahertz frequencies. - For physical AI and robotics, EPC will show integrated GaN solutions for humanoid robots, drones and other intelligent motion systems. - The EPC33110 100 V three-phase integrated ePower Stage IC is designed for compact, high-performance motor drives. - EPC will preview the EPC33111 as a smaller option for space-constrained applications. - EPC will also demo motor-drive reference designs based on the EPC33110 and the latest Gen7 GaN devices. - In space electronics, EPC Space will show radiation-hardened GaN technology for DC-DC converters, POL/IVR applications and space computing. - The space lineup includes the EPC7011, EPC7009 and radiation-tolerant EPC7050PCSH, EPC7066PCSH and EPC7065PCSH devices.

Between the lines: - EPC is framing GaN as a systems-level enabler, not just a component upgrade. - The emphasis on 800 V AI distribution and sub-1 V processor rails reflects pressure to reduce power losses in data-center hardware. - The robotics demos suggest EPC wants to expand GaN beyond power conversion into motion-control designs. - The space portfolio signals that radiation-hardening remains a separate but important growth lane for GaN suppliers.

What's next: - Visitors can meet EPC technical experts at the booth to discuss next-generation design needs. - EPC’s booth sessions will cover GaN road maps, radiation-hardened devices, robot and drone motor drives, high-voltage conversion and AI data-center reliability. - Scheduled sessions include: - Nov. 10, 2:00-2:30 p.m.: “Where is GaN Going?” with Alex Lidow, CEO, EPC. - Nov. 11, 11:00-11:30 a.m.: “Radiation-Hardened GaN: From Niche to Mainstream” with Bel Lazar, CEO, EPC Space. - Nov. 11, 2:00-2:30 p.m.: “New 100 V Half-Bridge and Three-Phase GaN ICs for Robots and Drones” with Marco Palma, VP, Motor Drive Marketing and System Engineering, EPC. - Nov. 12, 11:00-11:30 a.m.: “Disrupting High-Voltage Applications Using Low-Voltage GaN FETs in Multi-kW Isolated Converters” with Michael De Rooij, GaN Applications Fellow, EPC. - Nov. 12, 2:00-2:30 p.m.: “Mission Profile Reliability of GaN Devices for AI Data Centers” with Shengke Zhang, VP of Reliability and Global FAE, EPC. - More information is available through EPC's LinkedIn, Facebook and X account.

The bottom line: - EPC is using Electronica 2026 to position GaN as a single platform for the next wave of AI, robotics and space power systems.