Quad-Chiplet AI SoC with Full-Chip Scalable Mesh Over 16Gb/s UCIe-Advanced Die-to-Die Interface for Large-Scale AI Inferencing

이름: 오진욱 박사

직함: CTO

소속: Rebellions
주최: 유승주 교수
날짜: 2026/5/27 오전 10:00 - 오전 11:00
위치: 302동 311-1호
대표 이미지
요약

This chip uses a scalable chiplet-based architecture that defines the minimum system granularity, enabling the construction of a large, virtually monolithic system. Modular chiplets support both scale-up and scale-out expansion, allowing growth from single-die setups to multi-chiplet clusters.The architecture combines a chiplet-based design, low-latency die-to-die interfaces, unified mixed-precision compute, holistic synchronization, and HBM3E with advanced power schemes to sustain bandwidth, capacity, and thermal stability.

연사 소개

Rebellions CTO