[12/2] Unstoppable Rise of On-device AI and Physical AI
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작성자 최고관리자 댓글 조회 작성일 25-11-18 15:56본문
- 강연자
- 김녹원 대표 / ㈜딥엑스
- 초청자
- 정재용 교수
제목: Unstoppable Rise of On-device AI and Physical AI
연사: 김녹원 대표 / ㈜딥엑스
일시: 2025.12.2.(화) 16:00~18:00
장소: 연세대학교 제1공학관 A685
내용: As generative AI scales, the limits of cloud-centric computing are becoming structural—power, cost, latency, and infrastructure capacity. This shift is accelerating the rise of on-device AI, where intelligence is executed directly at the endpoint. In this talk, I will discuss the technical foundations of on-device AI, including memory architecture, compute sparsity, model compression, and low-power acceleration.
Especially, I will present DEEPX’s DX-M2 architecture as a case study: a sub-5W AI processor capable of running 10–30B models with real-time throughput, enabling AI PCs, robots, cameras, and industrial systems to operate without cloud dependency. Beyond architecture, I will examine the emerging industry landscape—why global semiconductor leaders are pivoting toward Physical AI, how on-device compute can reduce data-center load by over 80%, and what opportunities Korea has to lead with next-generation 2nm low-power AI chips.
초청자: 시스템반도체공학과 정재용 교수(jyc@yonsei.ac.kr)
연사: 김녹원 대표 / ㈜딥엑스
일시: 2025.12.2.(화) 16:00~18:00
장소: 연세대학교 제1공학관 A685
내용: As generative AI scales, the limits of cloud-centric computing are becoming structural—power, cost, latency, and infrastructure capacity. This shift is accelerating the rise of on-device AI, where intelligence is executed directly at the endpoint. In this talk, I will discuss the technical foundations of on-device AI, including memory architecture, compute sparsity, model compression, and low-power acceleration.
Especially, I will present DEEPX’s DX-M2 architecture as a case study: a sub-5W AI processor capable of running 10–30B models with real-time throughput, enabling AI PCs, robots, cameras, and industrial systems to operate without cloud dependency. Beyond architecture, I will examine the emerging industry landscape—why global semiconductor leaders are pivoting toward Physical AI, how on-device compute can reduce data-center load by over 80%, and what opportunities Korea has to lead with next-generation 2nm low-power AI chips.
초청자: 시스템반도체공학과 정재용 교수(jyc@yonsei.ac.kr)
