Truss is an open-source model serving solution designed to simplify the process of deploying machine learning models. It bridges the gap between model development and deployment by making it easy to serve a model on localhost and in production, reducing friction and accelerating machine learning productivity. Truss enables data scientists to build or deploy Docker images with a single command, package models in a standardized format, and share models within or beyond a team. The solution also abstracts away complexity from model serving, taking advantage of proven technologies like Docker, and provides features for iterative development, anomaly detection, and more. By open-sourcing Truss, the developers aim to participate in and give back to the ML community, provide transparency and confidence in their tooling, and show their work and hold themselves accountable to high standards for code quality and development practices.