Tag: systems-design

The journey from stateless inference to stateful, tool-augmented AI agents requires a complete reimagining of MLOps infrastructure. Learn how the Model Context Protocol (MCP), secure sandbox environments, distributed tracing, and holistic versioning enable the next generation of agentic AI systems.

Standard MLOps advice tells you to learn Git and Docker. But for the next generation of AI Engineers, that's just the baseline. This roadmap focuses on the Infrastructure Round—deep-diving into how data is structured for speed, how it's fed into models, how those models scale across clusters, and how we squeeze every drop of performance out of the silicon.