Conf42: Machine Learning 2021

Deploying ML solutions with low latency in Python

When we aim for better accuracies, sometimes we forget that the algorithms become more massive and slower. This fact renders the algorithms unusable in real-time scenarios. How do you deploy your solution? Which framework to use? Can you use Python for deploying my solution? Can you use Jetson Nano for multi-stream inferencing? If you are curious to solve these questions, join me in this talk...