Introducing Profiler: Select the best AI model for your target device -- no deployment required

Profiler is a simulator for profiling the performance of Machine Learning (ML) model scripts. Profiler can be used during both the training and inference stages of the development pipeline. It is particularly useful for evaluating script performance and resource requirements for models and scripts being deployed to edge devices. You can get Profiler from the Auptimizer GitHub page or via pip install auptimizer. The cost of training machine learning models in the cloud has dropped dramatically over the past few years.