In this session, we present nanoFluidX, a cutting-edge SPH-based CFD code which excels in simulating complex interfacial multiphase fluid flows. We aim to demonstrate the insights that an engineer can gain from adopting SPH and how GPUs enable those simulations to become a key part of the design cycle. Numerical simulations of multiphase fluid flow have a wide range of applications across engineering fields, particularly in automotive, heavy equipment and aerospace. We will demonstrate how the solver can bring new insight to áreas traditionally reliant on physical tests. From understanding oil distribution in transmissions and e-motors, managing rainwater drainage around closures and key components to predicting water presence in key areas and eliminating undesirable accumulation during wading. These challenging simulations require a significant amount of computational power, and nanoFluidX leverages GPU compute using NVIDIA CUDA to deliver unparalleled performance. We will also show how this technology can be paired with AI machine learning technology to reduce hours of runtime to just a few minutes. This session aims to engage researchers, developers, and industry professionals by highlighting the use of nanoFluidX in industry. We invite attendees to explore the capabilities of nanoFluidX and participate in an interactive Q&A session to discuss its future directions and collaborative opportunities.