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Microgate Technology MPF Cofiring Inductors|Powering the Next Wave of AI Compute & HPC

Release Date:2026-04-09 12:00:00

Powering the Next Wave of AI Compute & HPC

-Microgate MPF Cofiring Inductors,Inductors for AI Compute and High-Performance Computing Platforms

As generative AI, autonomous driving simulation, and scientific computing become core engines of the digital economy, global data center and AI server deployments are accelerating at an extraordinary pace.

Rack power density has surpassed 20 kW, while single GPU modules are approaching kilowatt-level consumption. Behind these numbers lies an unprecedented challenge for power delivery infrastructure.

Systems must withstand higher transient currents, greater power density, and increasingly complex EMI environments — all while maintaining thermal control and long-term reliability.


In response, Microgate introduces the MPF cofiring power inductor series, built on a metallic composite magnetic powder material platform. Designed for high-density power zones in AI servers, data centers, GPU VRMs, and PoL architectures, the MPF series delivers optimized solutions for high current, high frequency, strong transient performance, and complex electromagnetic environments.

Core Application Scenario


VRM / PoL Power Zones in AI Servers and Data Centers

Across AI server and data center motherboards, GPU accelerator cards, and high-speed interconnect boards, the power delivery zone typically exhibits four defining characteristics:

Frequent GPU load transitions
High transient di/dt makes the inductor a critical variable in ripple control and overall voltage stability.

Widespread multiphase architectures
GPU VRMs are predominantly multiphase designs, amplifying component consistency requirements and increasing layout complexity.

Complex electromagnetic environment
High-speed signals, strong switching nodes, and dense copper routing make EMI behavior and thermal hotspots more sensitive.

High maintenance and reliability expectations
Data centers demand long-term operational stability. Even minor temperature rise or parameter drift can escalate into system-level risk.

The MPF series is engineered to serve as a more controllable inductor foundation for these demanding scenarios — supporting the high current density required by AI compute servers while addressing the high-frequency switching and strong transient conditions of GPU power delivery in data center platforms.

Recommended Integrated Multiphase Models
MPF050560 / MPF080560 / MPF100760


(Integrated multiphase inductors for GPU VRM and AI Server PoL applications)

microgate solution

size(mm)

L @ 1 MHz/1V (nH)

DCR (mΩ)

Max Isat (A)

Max Irms (A)

MPF050560HFR12L**DLF

4.8 * 4.8 * 5.8

120±15%

0.235±10%

45

45

MPF080560HF85NM**DLF

7.8 * 4.8* 5.8

85±20%

0.25±10%

80

50

MPF100760HF85NM**DLF

9.8 * 7.0* 5.8

85±20%

0.16±10%

75

55

企业微信截图_1770791663865.pngStructural Feature: Integrated multiphase architecture.The multi-terminal design enables closer VRM placement and optimized current loop routing, improving layout efficiency in high-phase-count power stages.With a more compact footprint and layout-friendly phase positioning, this structure directly addresses real-world challenges in AI server and data center GPU power zones — tight board space, aggressive transient behavior, and heightened thermal sensitivity.


Four Core Advantages
Engineered for AI Servers, Data Centers, and GPU Power Delivery

Transient & DC Bias Advantages of Composite Magnetic Materials
During AI training and inference, GPU current transitions are rapid and frequent.
The MPF series utilizes metallic composite magnetic powder systems (such as FeSiAl and FeNi alloys). Their distributed magnetic characteristics are inherently better suited for high DC bias and high-frequency ripple conditions.
This enables more predictable inductor behavior under strong transient events — helping AI servers maintain tighter ripple control and greater voltage stability during aggressive load shifts.
Reduced Loss Path
The MPF series adopts an integrated cofiring structure, in which the conductor and magnetic core are tightly bonded without structural gaps, fundamentally minimizing loss paths.
A flat conductor design further reduces DC resistance (DCR), allowing GPU server VRMs to better manage temperature rise under sustained high-load operation.
The result is improved thermal control and greater system-level efficiency margin for overall power and cooling design.

High-Density Integration
In AI servers and GPU accelerator cards, board space often becomes the limiting factor before electrical parameters do.
The MPF series features an optimized compact package design:
Smaller footprint: Reduces placement and spacing overhead compared to stacked discrete inductors.
Shorter current loops: Multi-terminal layout allows closer placement, improving parasitic control.
Improved phase consistency: Enhances current sharing and tuning efficiency in multiphase VRM architectures.
These advantages benefit both high-density GPU power design and large-scale production deployment.
Enhanced EMI Resilience
The MPF series combines composite magnetic materials with an integrated cofiring structure. The magnetic core fully encloses the conductor, forming a closed magnetic path that naturally provides magnetic shielding.
This delivers two key benefits:
Suppresses outward magnetic radiation, reducing interference with nearby GPUs and memory devices and easing EMC design pressure in data center environments.
Improves resistance to external magnetic disturbances, ensuring more stable and predictable inductor performance in multi-GPU, high-density AI server power compartments.

As AI servers, data centers, and GPU platforms continue to evolve, the role of inductors has shifted from simply meeting specifications to actively influencing system limits.

Microgate’s MPF cofiring power inductors, built on a composite magnetic material platform and integrated structural architecture, are engineered for high-density GPU VRM and PoL power zones.

They deliver a more efficient, more compact, more stable, and production-ready inductor solution — providing a stronger power foundation for next-generation AI Compute and High-Performance Computing platforms.