How to Accelerate R&D with AI/ML-Based Simulation Featuring NVIDIA Modulus on Rescale

Scientific and engineering design has evolved from traditional prototyping to the use of simulation, and now increasingly incorporates artificial intelligence (AI) to enhance research and development (R&D) processes. The integration of AI into simulation allows for more efficient exploration of design spaces, reducing the computational demands traditionally associated with physics-based simulations. While AI offers transformative potential in fields ranging from aerospace to biotechnology, its adoption presents new IT challenges as organizations must integrate AI tools with conventional solvers to create cohesive workflows. Rescale, in collaboration with NVIDIA, addresses these challenges by offering NVIDIA Modulus on its platform, which streamlines the development and deployment of AI-driven simulations. This platform facilitates real-time inference using AI surrogate models, significantly reducing design time and enhancing productivity. By harnessing the power of NVIDIA's latest GPU technology, Rescale provides a comprehensive, cloud-based solution that simplifies the implementation of AI in R&D, enabling faster and more innovative product development.

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