An organic, decentralized mesh of democratic agents reads brilliantly in an academic paper. But in enterprise production, democratic agents lead to infinite loops and massive API bills.
Your beloved stateless Kubernetes architecture is fundamentally at war with the massive, stateful memory requirements of long-context LLM inference. We need a truce.
Why standard LLM benchmarks fail for agents, and how to measure real tool usage in production.
If your GPUs are idling at 40% utilization during inference, you are burning capital on memory bottlenecks, not computation.
Deep dive into deploying agentic ai as a service (aaas).
Fixed dashboards are the legacy interfaces of 2024. Your users are no longer satisfied looking at pre-canned charts; they expect the interface itself to adapt to the context of their query.