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Cadence brings AI supercomputing to digital twin simulations
Cadence Design Systems has launched a hardware and software platform to bring supercomputing performance to digital twin and AI simulations.
Algorithmic throughput remains a key priority, and we’re now leveraging generative AI to harvest knowledge gained from massive quantities of design and simulation data,” said Ben Gu, corporate vice president of R&D for multiphysics systems analysis at Cadence. CFD is poised to benefit greatly from performance and efficiency gains, and the tremendous power of the Millennium M1 is disrupting industries that must explore more design innovations and bring them to market faster.” “Our deployment of Cadence’s Millennium M1 multiphysics supercomputing platform, with its LES solver, has demonstrated significantly faster turnaround time and the scalability to simulate much larger systems for aerodynamics, combustion and aeroacoustics applications for our automotive, aeropropulsion and eVTOL projects.
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