Deploy a Deep Learning Model from the Cloud to the Edge (Presented by Domino Data Lab)

As organizations look to realize their investment in AI and demonstrate its value, edge deployment is rapidly becoming mission-critical. Yet the path from a model to the factory floor is far from well-defined. In this session, MathWorks and Domino Data Lab will showcase one such workflow, deploying a deep learning model developed and trained in MATLAB on Domino to NVIDIA EGX edge nodes. We will use Domino’s enterprise MLOps platform to show how MATLAB can incorporate models developed in Python, and use extensive image datasets to train the model with GPU acceleration. MATLAB will then use its Compiler SDK to generate a Python package, which will be deployed to NVIDIA Fleet Command using Domino model publishing.