Ansys Accelerates CFD Simulation by 110x with NVIDIA GH200 Grace Hopper Superchips
Ansys (NASDAQ: ANSS) has achieved a breakthrough in computational fluid dynamics (CFD) simulation using NVIDIA GH200 Grace Hopper Superchips. The company successfully ran its largest-ever Fluent CFD simulation, achieving a 110x speed acceleration that reduced runtime from four weeks to just six hours. The test, conducted at the Texas Advanced Computing Center, used 320 GH200 Superchips to solve a 2.4-billion-cell automotive aerodynamics simulation. This performance is equivalent to approximately 225,390 CPU cores, with a single GH200 chip matching nearly 1,408 CPU cores when scaled to 32 GPUs. The advancement enables faster, higher-fidelity simulations while maintaining predictive accuracy, benefiting industries like automotive, aerospace, and semiconductor manufacturing.
Ansys (NASDAQ: ANSS) ha raggiunto una svolta nella simulazione della dinamica dei fluidi computazionale (CFD) utilizzando i NVIDIA GH200 Grace Hopper Superchips. L'azienda ha eseguito con successo la sua simulazione CFD Fluent più grande di sempre, ottenendo un accelerazione della velocità di 110 volte che ha ridotto il tempo di esecuzione da quattro settimane a sole sei ore. Il test, condotto presso il Texas Advanced Computing Center, ha utilizzato 320 GH200 Superchips per risolvere una simulazione di aerodinamica automobilistica con 2,4 miliardi di celle. Questa prestazione è equivalente a circa 225.390 core CPU, con un singolo chip GH200 che corrisponde a quasi 1.408 core CPU quando scalato a 32 GPU. Questo progresso consente simulazioni più rapide e di alta fedeltà mantenendo la precisione predittiva, a beneficio di settori come quello automobilistico, aerospaziale e della produzione di semiconduttori.
Ansys (NASDAQ: ANSS) ha logrado un avance en la simulación de dinámica de fluidos computacional (CFD) utilizando NVIDIA GH200 Grace Hopper Superchips. La compañía realizó con éxito su simulación CFD Fluent más grande hasta la fecha, logrando una aceleración de velocidad de 110 veces que redujo el tiempo de ejecución de cuatro semanas a solo seis horas. La prueba, realizada en el Texas Advanced Computing Center, utilizó 320 GH200 Superchips para resolver una simulación de aerodinámica automotriz con 2,4 mil millones de celdas. Este rendimiento es equivalente a aproximadamente 225,390 núcleos CPU, con un solo chip GH200 que se equipara a casi 1,408 núcleos CPU cuando se escala a 32 GPUs. Este avance permite simulaciones más rápidas y de mayor fidelidad, mientras mantiene la precisión predictiva, beneficiando a industrias como la automotriz, la aeroespacial y la fabricación de semiconductores.
Ansys (NASDAQ: ANSS)는 NVIDIA GH200 Grace Hopper Superchips를 사용하여 전산유체역학(CFD) 시뮬레이션에서 획기적인 발전을 이뤘습니다. 이 회사는 역사상 가장 큰 Fluent CFD 시뮬레이션을 성공적으로 수행했으며, 110배의 속도 향상을 달성하여 실행 시간을 4주에서 단 6시간으로 단축했습니다. 이 테스트는 텍사스 고급 컴퓨팅 센터에서 수행되었으며, 320개의 GH200 Superchips를 사용하여 24억 개 셀의 자동차 공기역학 시뮬레이션을 해결했습니다. 이 성능은 약 225,390 CPU 코어에 해당하며, 단일 GH200 칩은 32개 GPU로 확장할 때 거의 1,408 CPU 코어에 해당합니다. 이러한 발전은 더 빠르고 높은 충실도의 시뮬레이션을 가능하게 하며, 예측 정확도를 유지하여 자동차, 항공우주 및 반도체 제조와 같은 산업에 혜택을 줍니다.
Ansys (NASDAQ: ANSS) a réalisé une avancée majeure dans la simulation de dynamique des fluides computationnelle (CFD) en utilisant des NVIDIA GH200 Grace Hopper Superchips. L'entreprise a réussi à exécuter sa plus grande simulation CFD Fluent à ce jour, atteignant une accélération de vitesse de 110 fois qui a réduit le temps d'exécution de quatre semaines à seulement six heures. Le test, réalisé au Texas Advanced Computing Center, a utilisé 320 Superchips GH200 pour résoudre une simulation d'aérodynamique automobile contenant 2,4 milliards de cellules. Cette performance équivaut à environ 225 390 cœurs CPU, un seul chip GH200 correspondant presque à 1 408 cœurs CPU lorsqu'il est mis à l'échelle sur 32 GPU. Cette avancée permet des simulations plus rapides et de meilleure fidélité tout en maintenant l'exactitude prédictive, au bénéfice de secteurs tels que l'automobile, l'aérospatiale et la fabrication de semi-conducteurs.
Ansys (NASDAQ: ANSS) hat einen Durchbruch in der Simulation der numerischen Strömungsmechanik (CFD) erzielt, indem es NVIDIA GH200 Grace Hopper Superchips verwendet hat. Das Unternehmen führte erfolgreich seine größte CFD-Simulation mit Fluent durch und erreichte eine Geschwindigkeitssteigerung von 110-fach, die die Laufzeit von vier Wochen auf nur sechs Stunden reduzierte. Der Test, der am Texas Advanced Computing Center durchgeführt wurde, nutzte 320 GH200 Superchips, um eine 2,4-Milliarden-Zellen-Simulation der Fahrzeugaerodynamik zu lösen. Diese Leistung entspricht etwa 225.390 CPU-Kernen, wobei ein einzelner GH200-Chip fast 1.408 CPU-Kernen entspricht, wenn er auf 32 GPUs skaliert wird. Dieser Fortschritt ermöglicht schnellere, hochpräzise Simulationen, die die Vorhersagegenauigkeit beibehalten und Branchen wie die Automobil-, Luft- und Raumfahrt- sowie die Halbleiterfertigung profitieren lassen.
- Achieved 110x simulation speed improvement, reducing runtime from 4 weeks to 6 hours
- Successfully scaled to handle 2.4-billion-cell problems, the largest ever for Ansys Fluent
- Significant computational resource efficiency: 320 GH200 chips perform equivalent to 225,390 CPU cores
- Lower energy consumption across development cycle, reducing operational costs
- None.
Insights
This breakthrough in computational fluid dynamics (CFD) represents a significant technological leap for Ansys. The 110x speed improvement from 4 weeks to 6 hours in large-scale simulations will dramatically impact the company's competitive position in the simulation software market.
The ability to handle a 2.4-billion-cell simulation using NVIDIA's GH200 Grace Hopper Superchips demonstrates exceptional scalability. The performance equivalent to
This advancement particularly strengthens Ansys's position in high-value markets like automotive, aerospace and semiconductor manufacturing, where complex simulations are critical for product development. The integration with NVIDIA's Omniverse Blueprint also positions Ansys at the forefront of real-time interactive physics visualization, creating new market opportunities.
This technological breakthrough has significant commercial implications. The dramatic reduction in simulation time from weeks to hours will likely accelerate customer adoption and potentially expand Ansys's market share in the
The cost-efficiency angle is particularly compelling - customers can achieve better results with fewer computational resources, leading to reduced infrastructure costs and faster time-to-market. This could drive both new customer acquisition and increased usage among existing clients, potentially boosting Ansys's recurring revenue streams.
The partnership with NVIDIA also strengthens Ansys's competitive moat, as competitors will need significant resources and time to develop similar capabilities. This positions Ansys to potentially capture a larger share of the growing digital twin and virtual testing markets.
Ansys Fluent coupled with NVIDIA accelerated computing significantly speeds large-scale CFD simulations, reducing run time from four weeks to six hours
/ Key Highlights
- Ansys Fluent® fluid simulation software solved a 2.4-billion-cell-problem using 320 NVIDIA GH200 Grace Hopper Superchips scaled with NVIDIA Quantum-2 InfiniBand at the Texas Advanced Computing Center (TACC)
- Combining NVIDIA Grace Hopper Superchips and Ansys software enables significantly faster, higher fidelity simulation, improving R&D processes for more innovative products
Large-scale CFD simulations are complex and time-consuming due to the multiphysics interactions, intricate geometries, and the need for high-resolution results to match real-world data. These simulations can take days or weeks to run on CPU cores. Additionally, refining the model extends run time and often requires purchasing additional computational power. By harnessing the power of GPUs, Ansys solutions can deliver pervasive insights in a fraction of the time and maintain high predictive accuracy on even the biggest models using fewer computational resources.
Using advanced computing capability at TACC, Ansys collaborated with NVIDIA to run a 2.4-billion-cell automotive external aerodynamics simulation, enabling two separate yet critical outcomes. First, Ansys software solved the CFD simulation significantly faster while maintaining the same predictive accuracy. Second, designers can add more parameters to refine the accuracy without having to compromise on overall simulation speed.
Specifically, 320 GH200 Grace Hopper Superchips, with multi-node scaling through NVIDIA Quantum-2 InfiniBand, provided a 110x speed-up over using 2,048 CPU cores, achieving the same performance equivalent to approximately 225,390 CPU cores. In addition, for customers using a typical deployment of GPUs, benchmark data showed that when scaling to 32 GPUs, one NVIDIA GH200 Grace Hopper Superchip delivers the same performance as nearly 1,408 CPU cores.
"Ansys is committed to delivering increased performance and capability to provide our customers with higher levels of simulation fidelity and engineering insight to accelerate innovation," said Shane Emswiler, senior vice president of products at Ansys. "Upgrading to the latest GPU technology can enable our customers to save hours of engineering and product development time, where time to market is essential. Moreover, the energy consumption is much lower across the development cycle, which saves our customers significant costs and resources."
Ansys is also the first to adopt an Omniverse Blueprint, a reference workflow of NVIDIA acceleration libraries, artificial intelligence frameworks, and Omniverse technologies that enables real-time, interactive physics visualization in Ansys applications.
"The power of NVIDIA GH200 Grace Hopper Superchips enables customers to push the limits of simulation model sizes and complexity," said Tim Costa, senior director of CAE, EDA and quantum at NVIDIA. "The combination of NVIDIA accelerated computing and Ansys software provides engineers with powerful simulation tools to tackle complex engineering problems and reduce time-to-market across industries such as automotive, aerospace, manufacturing and more."
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