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ROHM to Showcase Mobility and Industrial Solutions at electronica India 2026
ROHM Semiconductor presents power conversion reference designs, electric vehicle solutions, and edge AI technologies at electronica India 2026.
www.rohm.com

ROHM will exhibit its semiconductor devices and reference designs for mobility and industrial applications at electronica India 2026, held September 16 to 18, 2026, at the Bangalore International Exhibition Centre (BIEC) in Hall 3, Booth I-15. The exhibition features operational demonstrations targeting energy efficiency, power conversion, and system design challenges.
Mobility Semiconductor Demonstrations
ROHM's mobility showcase focuses on power and control components across two-wheeled and compact vehicle architectures:
- Three-Wheeled EV Concept Vehicle: Demonstrates the integration of semiconductor devices and reference designs in electric mobility, focusing on traction motor control, digital smart instrument clusters, and LED lighting subsystems.
- Two-Wheeled Vehicle Solutions: Engine control integrated circuits (ICs) and high-efficiency LED driver ICs.
- Automotive Sensing: Ultrasonic sonar sensor demonstrations designed for driver assistance and obstacle detection.
Industrial Power and Edge Computing
The industrial display highlights power electronics designs and processing technologies:
The industrial display highlights power electronics designs and processing technologies:
- AI Server Power Supplies: 1.3 kW and 5.5 kW power supply unit (PSU) reference designs optimized for data center artificial intelligence hardware.
- Renewable and Grid Infrastructure: Power conversion reference architectures engineered for electric vehicle (EV) fast-charging stations and photovoltaic (PV) solar inverters.
- Connectivity and Processing: Sub-gigahertz wireless communication large-scale integrated circuits (LSIs) and chiplet-based microcontrollers (MCUs).
- Edge Machine Learning: Deployment use cases for Solist-AI, an edge computing artificial intelligence solution designed for local intelligence.
Additional Context
This section details technical specifications not included in the original news release.
Server power conversion systems for artificial intelligence processing typically utilize two-stage topologies consisting of a front-end Bridgeless Totem-Pole Power Factor Correction (PFC) stage and a secondary isolated resonant DC-DC stage, such as a Half-Bridge or Full-Bridge LLC converter. In high-power 1.3 kW and 5.5 kW configurations, wide bandgap semiconductors—specifically Silicon Carbide (SiC) Schottky barrier diodes and Gallium Nitride (GaN) high-electron-mobility transistors (HEMTs)—replace conventional silicon MOSFETs. This allows switching frequencies to exceed 100 kHz while maintaining 80 PLUS Titanium efficiency standards (exceeding 96 percent efficiency at 50 percent operational load) to deliver 48-volt or 54-volt intermediate bus rails for high-power server motherboards.
Solist-AI edge microcontrollers integrate proprietary hardware neural network accelerators that execute on-device learning and anomaly detection algorithms directly on incoming sensor data streams without requiring cloud connectivity. By processing vibration, acoustic, and electrical parameters locally on ARM Cortex-based architectures, the edge platform eliminates transmission bandwidth requirements and latency bottlenecks during condition monitoring and predictive maintenance cycles. Sub-GHz wireless communications utilize frequency bands below 1 GHz (including 868 MHz and 915 MHz bands) to achieve long-range transmission propagation through dense industrial equipment installations with low power consumption compared to standard 2.4 GHz wireless protocols.
Edited by Romila DSilva, Induportals Editor, with AI assistance.
This section details technical specifications not included in the original news release.
Server power conversion systems for artificial intelligence processing typically utilize two-stage topologies consisting of a front-end Bridgeless Totem-Pole Power Factor Correction (PFC) stage and a secondary isolated resonant DC-DC stage, such as a Half-Bridge or Full-Bridge LLC converter. In high-power 1.3 kW and 5.5 kW configurations, wide bandgap semiconductors—specifically Silicon Carbide (SiC) Schottky barrier diodes and Gallium Nitride (GaN) high-electron-mobility transistors (HEMTs)—replace conventional silicon MOSFETs. This allows switching frequencies to exceed 100 kHz while maintaining 80 PLUS Titanium efficiency standards (exceeding 96 percent efficiency at 50 percent operational load) to deliver 48-volt or 54-volt intermediate bus rails for high-power server motherboards.
Solist-AI edge microcontrollers integrate proprietary hardware neural network accelerators that execute on-device learning and anomaly detection algorithms directly on incoming sensor data streams without requiring cloud connectivity. By processing vibration, acoustic, and electrical parameters locally on ARM Cortex-based architectures, the edge platform eliminates transmission bandwidth requirements and latency bottlenecks during condition monitoring and predictive maintenance cycles. Sub-GHz wireless communications utilize frequency bands below 1 GHz (including 868 MHz and 915 MHz bands) to achieve long-range transmission propagation through dense industrial equipment installations with low power consumption compared to standard 2.4 GHz wireless protocols.
Edited by Romila DSilva, Induportals Editor, with AI assistance.

