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NVIDIA Blackwell, CAE 소프트웨어 최대 50배 가속

무슨 발표인가

  • Ansys·Altair·Cadence·Siemens·Synopsys 등 주요 벤더 참여
  • 시뮬레이션 소프트웨어 최대 50배 가속화
  • 자동차·항공우주·에너지·제조·생명과학 산업 제품개발 시간·비용 단축·설계 정확도 향상

원문 (영어)

GTC— NVIDIA today announced that leading computer-aided engineering (CAE) software vendors, including Ansys, Altair, Cadence , Siemens and Synopsys , are accelerating their simulation tools by up to 50x with the NVIDIA Blackwell platform. With such accelerated software, along with NVIDIA CUDA-X libraries and blueprints to further optimize performance, industries such as automotive, aerospace, energy, manufacturing and life sciences can significantly reduce product development time, cut costs and increase design accuracy while maintaining energy efficiency.

“CUDA-accelerated physical simulation on NVIDIA Blackwell has enhanced real-time digital twins and is reimagining the entire engineering process,” said Jensen Huang, founder and CEO of NVIDIA. “The day is coming when virtually all products will be created and brought to life as a digital twin long before it is realized physically.”

Ecosystem Support for NVIDIA Blackwell Software providers can help their customers develop digital twins with real-time interactivity and now accelerate them with NVIDIA Blackwell technologies. The growing ecosystem integrating Blackwell into its software includes Altair, Ansys, BeyondMath, Cadence, COMSOL, ENGYS, Flexcompute , Hexagon, Luminary Cloud , M-Star, NAVASTO, an Autodesk company, Neural Concept , nTop, Rescale , Siemens, Simscale, Synopsys and Volcano Platforms.

Cadence is using NVIDIA Grace Blackwell-accelerated systems to help solve one of computational fluid dynamics’ biggest challenges — the simulation of an entire aircraft during takeoff and landing.

원문: NVIDIA News — "NVIDIA Blackwell Accelerates Computer-Aided Engineering Software by Orders of Magnitude for Real-Time Digital Twins" (2025-07-03) 공식 원문: https://nvidianews.nvidia.com/news/nvidia-blackwell-accelerates-computer-aided-engineering-software-by-orders-of-magnitude-for-real-time-digital-twins

NVIDIA News
delayseconds · 2025.07.03
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NVIDIA Blackwell, CAE 소프트웨어 최대 50배 가속

2025.07.03 · 5 min · Irang

무슨 발표인가

원문 (영어)

GTC— NVIDIA today announced that leading computer-aided engineering (CAE) software vendors, including Ansys, Altair, Cadence , Siemens and Synopsys , are accelerating their simulation tools by up to 50x with the NVIDIA Blackwell platform. With such accelerated software, along with NVIDIA CUDA-X libraries and blueprints to further optimize performance, industries such as automotive, aerospace, energy, manufacturing and life sciences can significantly reduce product development time, cut costs and increase design accuracy while maintaining energy efficiency.

“CUDA-accelerated physical simulation on NVIDIA Blackwell has enhanced real-time digital twins and is reimagining the entire engineering process,” said Jensen Huang, founder and CEO of NVIDIA. “The day is coming when virtually all products will be created and brought to life as a digital twin long before it is realized physically.”

Ecosystem Support for NVIDIA Blackwell Software providers can help their customers develop digital twins with real-time interactivity and now accelerate them with NVIDIA Blackwell technologies. The growing ecosystem integrating Blackwell into its software includes Altair, Ansys, BeyondMath, Cadence, COMSOL, ENGYS, Flexcompute , Hexagon, Luminary Cloud , M-Star, NAVASTO, an Autodesk company, Neural Concept , nTop, Rescale , Siemens, Simscale, Synopsys and Volcano Platforms.

Cadence is using NVIDIA Grace Blackwell-accelerated systems to help solve one of computational fluid dynamics’ biggest challenges — the simulation of an entire aircraft during takeoff and landing.

원문: NVIDIA News — "NVIDIA Blackwell Accelerates Computer-Aided Engineering Software by Orders of Magnitude for Real-Time Digital Twins" (2025-07-03) 공식 원문: https://nvidianews.nvidia.com/news/nvidia-blackwell-accelerates-computer-aided-engineering-software-by-orders-of-magnitude-for-real-time-digital-twins

NVIDIA News
delayseconds · 2025.07.03
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