AI Server Power Solutions
Cutting-Edge MLCCs Supporting
Next-Generation Power Architectures

High-Capacitance and Embeddable MLCC Solutions for AI Servers

High Capacitance MLCC for AI Servers
Embedded-Board Compatible MLCC

Rising Power Requirements in AI Server Power Design

Rapid Growth in Power Consumption

As GPU and AI ASIC performance continues to advance, server power architectures must deliver significantly more power.


Reducing Power Distribution Loss

To minimize power distribution losses associated with increasing current levels, it is becoming increasingly important to place voltage regulators (VRs) closer to xPUs.

Limited Board Space

The area surrounding advanced processors is highly constrained, creating demand for components that provide higher capacitance and improved electrical performance (low ESL/ESR) within a compact footprint.

Supporting Next-Generation Power Architectures

Emerging power delivery approaches, including vertical power delivery and Integrated Voltage Regulators (IVRs), are driving demand for embedded components that utilize board interior space more effectively.

Key Advantages of TAIYO YUDEN MLCC Solutions for AI Servers

Compact High-Capacitance MLCCs
Deliver high capacitance in ultra-compact packages.
Enable high-density power designs
for low-voltage output applications
in the 0.6 V to 1.2 V range.

Embedded-Board Compatible MLCCs
Wide, flat electrode structures
enable the placement of multiple vias.
Help reduce required board area
while minimizing parasitic resistance.

Advantages of TAIYO YUDEN Embedded-Board Compatible MLCCs

Cutting-Edge MLCC Lineup for AI Servers

●Embedded-Board Compatible Products
(Cu Electrode)

1.0×0.5(mm) 22μF
2.0x1.25(mm) 100μF

Embedded-Board Compatible Products

●Cutting-Edge Compact High-Capacitance Products

0.6×0.3(mm) 10μF
1.0×0.5(mm) 47μF
1.6×0.8(mm) 100μF

Cutting-Edge High-Capacitance Compact Products

TAIYO YUDEN MLCCs combine compact form factors,
high capacitance, and low-loss performance
to support cutting-edge power architectures for next-generation AI servers.