Watch this talk on edge-friendly ML containers made easy with chassis.ml, presented to the Applied AI meetup group.
Containers are a great way to build applications, but they’re not always easy to make or use—especially for data scientists. Chassis is an open-source project that turns ML models into containerized prediction APIs in just minutes. We built this tool for Data Scientists, Machine Learning Engineers, and DevOps teams who need an easier way to automatically build ML model containers and ship them to production.
Brad Munday is an experienced technologist with a focus on AI/ML & Machine Learning Operations (MLOps). As a Data Scientist and Solution Engineer at Modzy, he helps organizations deploy ML models at enterprise scale and unlock value in their AI investment projects through the implementation of robust MLOps pipelines.
Watch this presentation for the Applied AI meetup group on building containers for ML models using chassis.ml.