PITTSBURGH - Ansys (NASDAQ: NASDAQ:ANSS) has announced an expanded collaboration with NVIDIA (NASDAQ:NVDA) to enhance simulation solutions with accelerated computing and generative AI technologies. This partnership aims to advance 6G communication systems, AI-infused simulation solutions, autonomous vehicles, digital twins, and visual rendering. The integration of NVIDIA's advanced GPUs and AI capabilities with Ansys' simulation tools is expected to shorten design cycles and improve product complexity across various industries.
Ansys has recently joined the Alliance for OpenUSD (AOUSD) to promote data interoperability in 3D content, which will benefit its extensive product portfolio. The collaboration will focus on four key areas: accelerated computing, 6G telecommunications, AI-enhanced simulation, and AI foundry.
In the realm of accelerated computing, Ansys is utilizing NVIDIA H100 Tensor Core GPUs and plans to incorporate NVIDIA Blackwell-based processors and NVIDIA Grace Hopper Superchips. These advancements are intended to optimize Ansys solutions, including Ansys Fluent (NASDAQ:FLNT), Ansys LS-Dyna, and electronics and semiconductor products. NVIDIA, in turn, is leveraging Ansys technology to refine virtual models and data center design, aiming to boost Ansys solver performance.
For 6G telecommunications, Ansys is one of the first to adopt the NVIDIA 6G Research Cloud platform, which will support AI development for radio access network technology. Ansys Perceive EM, powered by Ansys HFSS, is set to transform 6G system digital twins with its synthetic data-on-demand approach, enhancing predictive accuracy for wireless network performance.
AI-enhanced simulation is another priority, with Ansys exploring the NVIDIA Modulus framework for incorporating physics-based machine learning into its software offerings. This initiative seeks to improve optimization, sensitivity analyses, and design robustness within the Ansys AI+ product family.
Lastly, Ansys is examining the use of NVIDIA AI foundry services to further develop large language models (LLMs), which could simplify simulation setup and usage, potentially opening up simulation to new users and use cases.
The CEOs of both companies have expressed enthusiasm for the collaboration, highlighting the potential to address engineering challenges and innovate within the NVIDIA Omniverse environment.
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