Project Thoth is an artificial intelligence (AI) R&D Red Hat research project as part of the Office of the CTO and the AI Center of Excellence (CoE). This project aims to build a knowledge graph and a recommendation system for application stacks based on the collected knowledge, such as machine learning (ML) applications that rely on popular open source ML frameworks and libraries (TensorFlow, PyTorch, MXNet, etc.). In this article, we examine the potential of project Thoth’s infrastructure running in Red Hat Openshift and explore how it can collect performance observations.
The intern will work directly on Project Thoth – Prototype Analytics and AI-backed guidance approach to delivering value add on software stacks.
Expected project outcome: An API provided to developers.
Red Hat Intern: Dominik Tuchyňa