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AI for Design & Engineering Workflows
As products become more complex, design and engineering workflows must evolve to help companies meet market demands to create innovative designs on a much faster timetable.
Read this paper to learn how AI is being incorporated into design and engineering solutions and workflows, and how new workstations and high-performance computing (HPC) solutions like Dell's are enabling engineers to effectively tap into these capabilities.
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What is the role of AI in design and engineering workflows?
AI is being integrated into design and engineering workflows to help engineers explore design spaces more effectively and quickly. It enables rapid iteration, testing, and validation of designs, allowing nonspecialist engineers to analyze and simulate options. Technologies like generative design tools leverage AI to create numerous optimal design options based on predefined constraints, which can significantly speed up the design process.
How does AI improve simulation processes?
AI enhances simulation processes by utilizing GPU acceleration and reduced order models (ROMs) for rapid evaluation. This allows engineers to obtain near real-time analysis without running full-scale simulations. For instance, tools like Altair's physicsAI can provide fast physics predictions using CAD models, enabling engineers to test designs hundreds of times faster than traditional methods.
What are the hardware requirements for AI-based engineering tools?
To effectively use AI-driven design and simulation tools, advanced engineering workstations equipped with the latest NVIDIA RTX GPUs are essential. For example, the Dell Precision 7960 tower workstation can be configured with multiple NVIDIA RTX GPUs, providing the necessary compute resources to handle large models and data sets typical of AI-based workflows, enabling local AI model training and rapid validation.
AI for Design & Engineering Workflows
published by Divergent IT
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