Power Electronics

AI Compute Power Architecture

FPGA, GPU or accelerator boards that need a documented power tree before layout.

Reference Architecture

AI compute power architecture from distribution through intermediate conversion and multiphase regulation to GPU, CPU and FPGA loads
Board-level power path: input & distribution → intermediate conversion → multiphase regulation → compute loads, with protection and monitoring alongside. View full architecture
Application
Compute and accelerator power
Work covered
Architecture, device evaluation and board-level development
Design Domain
High-current conversion and telemetry

Project Overview

Board-level power for FPGA, GPU or accelerator boards: a power tree, high-current conversion and multiphase point-of-load regulation.

Engineering Challenge

The conversion path, protection and thermal method need to be fixed before the layout becomes dense.

Engineering Scope

  • System architecture and interface definition
  • Schematic review and component selection
  • Prototype bring-up and laboratory debugging

Engineering Approach

Yunxin writes the power tree, evaluates controllers and power stages, and carries the chosen path into the board.

Engineering Work

  • Power-tree definition
  • Controller and power-stage evaluation
  • Validation planning

Implementation

Reference Architecture

Architecture definition

Power-tree definition, controller and power-stage evaluation, and board-level development for the compute platform.

Deliverables

  • Architecture document
  • Evaluation notes
  • Board implementation