This white paper examines how AI-based physics models address the growing computational demands of simulation-driven design. It explains how tools like PhysicsAI learn from historical simulation data to deliver results orders of magnitude faster than traditional solvers. The paper details how PhysicsAI integrates with Altair One to streamline data management, model training, and scalable compute access. Use cases demonstrate how organizations reduce reliance on large HPC resources while accelerating design exploration, improving time-to-market, and maintaining high accuracy.

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