Cloud platforms such as Azure and AWS provide a range of opportunities for engineers and scientists to scale up their AI projects - working with bigger data, using more computational resources, and deploying models to integrate with other systems.
In this session we will use a case study to show how you can move any part of your MATLAB workflow to the cloud, including:
- Accessing data stored in the cloud services from MATLAB
- Provisioning MATLAB in the cloud with access to NVIDIA® GPUs
- Running machine learning experiments in parallel with MATLAB Parallel Server
- Operationalizing models with MATLAB Production Server