Production Deployment of Machine-Learned Rotorcraft Surrogate Models on HPC

We explore how to optimally deploy several different types of machine-learned surrogate models used in rotorcraft aerodynamics on HPC. We first developed three different rotorcraft models at three different orders of magnitude (2M, 44M, and 212M trainable parameters) to use as test models. Then we d... View More