"PhysicsAI" operational PC that allows AI to learn from CAE analysis results and conduct design reviews at dozens of times the speed.
PhysicsAI is an AI-based software for accelerating physical simulations that learns from past simulation data to quickly predict physical behavior for design shapes. Rather than replacing traditional CAE analysis, it utilizes accumulated analysis assets to streamline considerations in the early stages of design, achieving improved development speed while reducing the number of prototypes and analyses. ■ Main Features and Characteristics - AI learns from past CAE analysis results (structural, fluid, thermal, etc.) to quickly predict physical behavior. - By simply inputting a CAD model, results such as deformation, stress, and temperature are visualized instantly. - Design consideration speed is improved by tens to up to 1,000 times compared to conventional analysis. - Supports a wide range of CAE areas, including structural analysis, fluid analysis, and manufacturing process analysis. - Optimally suited for screening purposes in the early stages of design, accelerating optimization and design exploration. - Enhances quality and reproducibility through data-driven design utilizing CAE results. - Integrated with the HyperWorks platform, seamlessly linking with existing analysis workflows. - Applicable to a wide range of engineering uses, including research and development, manufacturing technology, and design departments.
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- Be-Clia Type-ZU2V2-9 NVIDIA RTX PRO 6000 Blackwell equipped model A model specifically designed for AI × CAE optimized for Altair PhysicsAI. With the high computational performance and large VRAM of the RTX PRO 6000 Blackwell Max-Q, it executes AI learning and physical predictions using past CAE analysis data quickly and stably. Combined with the Core Ultra 9 285K, it strongly supports design considerations and optimizations in the early stages. - CERVO Grasta Type-ALIS35WC-BWx1 NVIDIA RTX PRO 6000 Blackwell equipped model A highly reliable workstation model designed for Altair PhysicsAI. With the outstanding GPU computational performance and large VRAM of the RTX PRO 6000 Blackwell Max-Q, it stably executes AI learning and rapid physical predictions for large-scale CAE data. It is also capable of long-duration, high-load operations with the Xeon w5 and ECC memory configuration.
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Applications/Examples of results
Altair PhysicsAI is software that streamlines the design and development processes in manufacturing by enabling AI to learn from past CAE analysis results and quickly predict the physical behavior of new design shapes. It allows for virtual evaluations of analyses and prototypes that previously took a long time, starting from the early stages of design, thus achieving both improved development speed and design quality. Main applications and implementation examples: - Rapid evaluation of structural strength and deformation behavior in the automotive/aerospace fields - Prediction of defects/deformations in manufacturing processes such as casting, molding, and injection molding - Examination of design conditions and parameters using fluid/thermal analysis results - Screening of numerous design proposals and optimization considerations in the early design phase PhysicsAI is not intended to replace traditional CAE but is utilized as an "AI that complements CAE" by learning from analysis results such as those from Radioss and OptiStruct and reusing that knowledge. This enables a reduction in the number of prototypes and re-analyses, cost savings, and a shortened time to market, thereby supporting competitive design development that leverages data.
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Company information
Applied Corporation is a computer manufacturing company based in Hakata-ku, Fukuoka City, Fukuoka Prefecture, with 65 locations nationwide. We provide the latest business proposals, from cutting-edge computers to the implementation of DX and solutions, for corporate clients across the country.
