NOW BUZZING 무역박람회에 AI 비서와 로봇이 등장한 … · 안경이 스니커즈가 되는 중, 진스의 승부… · CGV 10월 특별상영관 라인업, 영화·…◆
NOW BUZZING 무역박람회에 AI 비서와 로봇이 등장한 … · 안경이 스니커즈가 되는 중, 진스의 승부… · CGV 10월 특별상영관 라인업, 영화·…◆
JELIBI
⌕ SUBSCRIBE
SEOUL · DAILY · ISSUE No.341 WE TRIED IT · THE PICK · BEHIND IT 2026.11.14 · SAT
JELIBI
⌕ SUB
Beauty Body Gadget Bites Buzz World
HOME/GADGET/BEHIND IT
GADGET BEHIND IT · 5 MIN READ

엔비디아-TSMC AI, 반도체 설계·제조 고도화

JD 젤리비 편집국 · 2026.06.01 SHARE · COPY LINK

무슨 발표인가

  • NVIDIA CUDA-X·AI 모델로 리소그래피·트랜지스터·공정 시뮬레이션 가속화
  • NVIDIA Metropolis·TAO로 결함 검사 자동화
  • 반도체 설계부터 양산까지 전 단계 최적화

원문 (영어)

News Summary: NVIDIA CUDA-X libraries and AI models are accelerating TSMC workloads across lithography, transistor and process simulation, advanced process control and fab operations optimization. TSMC is using NVIDIA Metropolis and NVIDIA TAO Toolkit to advance automated defect inspection with vision AI, improving detection of nanometer-scale defects while reducing repeated labeling and retraining.

NVIDIA GTC Taipei — NVIDIA today announced that TSMC, the world’s leading semiconductor company, is using NVIDIA accelerated computing and AI to advance semiconductor design and manufacturing. As chips move to more advanced nodes, bringing them from design to high-volume production has become one of the world’s most complex computing challenges.

Computational lithography, transistor simulation, process control and wafer inspection now require massive-scale simulation and real-time optimization, and AI systems that can provide support across physics, images and other applications. TSMC is using NVIDIA technologies to accelerate this transformation, applying accelerated computing and AI across the semiconductor design and manufacturing lifecycle to improve turnaround time, energy efficiency, yield and operational productivity in advanced fabs.

“NVIDIA and TSMC have worked together for nearly three decades to push the limits of computing,” said Jensen Huang, founder and CEO of NVIDIA. “TSMC is bringing NVIDIA AI and accelerated computing into the fab itself, tackling some of the world’s most complex design and manufacturing challenges with simulation, optimization and AI to improve speed, efficiency and yield for the next generation of chips.”

원문: NVIDIA News — "NVIDIA and TSMC Bring AI Into Fabs to Advance Semiconductor Design and Manufacturing" (2026-06-01) 공식 원문: https://nvidianews.nvidia.com/news/nvidia-and-tsmc-bring-ai-into-fabs-to-advance-semiconductor-design-and-manufacturing

#NVIDIA News
THE JELIBI BRIEF

A small team that reads too much internet so you don't have to.

SUBSCRIBE →
GADGET

삼성헬스 수면 코칭 업데이트, 데이터 요구사항 완화

GADGET

오픈소스 취약점 스캔 서비스 OSS Scanner 무료 출시

GADGET

메타, 싱가포르 장애인을 위해 AI 안경 1000개 기부

← GADGET BEHIND IT

엔비디아-TSMC AI, 반도체 설계·제조 고도화

젤리비 편집국·2026.06.01·5 MIN
IN THIS PIECE
무슨 발표인가 원문 (영어)

무슨 발표인가

  • NVIDIA CUDA-X·AI 모델로 리소그래피·트랜지스터·공정 시뮬레이션 가속화
  • NVIDIA Metropolis·TAO로 결함 검사 자동화
  • 반도체 설계부터 양산까지 전 단계 최적화

원문 (영어)

News Summary: NVIDIA CUDA-X libraries and AI models are accelerating TSMC workloads across lithography, transistor and process simulation, advanced process control and fab operations optimization. TSMC is using NVIDIA Metropolis and NVIDIA TAO Toolkit to advance automated defect inspection with vision AI, improving detection of nanometer-scale defects while reducing repeated labeling and retraining.

NVIDIA GTC Taipei — NVIDIA today announced that TSMC, the world’s leading semiconductor company, is using NVIDIA accelerated computing and AI to advance semiconductor design and manufacturing. As chips move to more advanced nodes, bringing them from design to high-volume production has become one of the world’s most complex computing challenges.

Computational lithography, transistor simulation, process control and wafer inspection now require massive-scale simulation and real-time optimization, and AI systems that can provide support across physics, images and other applications. TSMC is using NVIDIA technologies to accelerate this transformation, applying accelerated computing and AI across the semiconductor design and manufacturing lifecycle to improve turnaround time, energy efficiency, yield and operational productivity in advanced fabs.

“NVIDIA and TSMC have worked together for nearly three decades to push the limits of computing,” said Jensen Huang, founder and CEO of NVIDIA. “TSMC is bringing NVIDIA AI and accelerated computing into the fab itself, tackling some of the world’s most complex design and manufacturing challenges with simulation, optimization and AI to improve speed, efficiency and yield for the next generation of chips.”

원문: NVIDIA News — "NVIDIA and TSMC Bring AI Into Fabs to Advance Semiconductor Design and Manufacturing" (2026-06-01) 공식 원문: https://nvidianews.nvidia.com/news/nvidia-and-tsmc-bring-ai-into-fabs-to-advance-semiconductor-design-and-manufacturing

#NVIDIA News
THE JELIBI BRIEF

A small team that reads too much internet so you don't have to.

SUBSCRIBE →
MORE IN BEHIND IT
CJ프레시웨이, 세종파닭 팝업스토어 운영·지역 상생 추진삼성헬스 수면 코칭 업데이트, 데이터 요구사항 완화CGV 10월 특별상영관 라인업, 영화·공연·애니 풍성CGV, 서울 도심 주요 거점서 불꽃축제 영상 10월 3~9일 송출CJ대한통운, 우수시장 박람회서 QR 택배·얼굴인식 결제 지원
THE JELIBI BRIEF

인터넷을 너무 많이 보는 팀이 대신 골라 옵니다.

SUBSCRIBE

바로가기 등록하시면, 더 쉽게 찾아보실 수 있습니다.