Model Deployment Challenges

Anantha discusses the challenges of deploying models into hardware, emphasizing the impact of transformations post-training and the importance of power and latency considerations. Lukas learns about the internal framework used for monitoring models in production, showcasing its capabilities in managing stats and data efficiently.