Articles about inference-optimization

May 20, 2026 · Bhanu Pratap Singh · AI & Machine Learning

The Hidden Bottleneck Inside Every LLM Inference Stack — and Why llm-d v0.7 Just Made Disaggregation an Enterprise Architecture Decision

llm-d v0.7 ships predicted-latency scheduling to GA and joins the CNCF — forcing enterprise AI teams to confront the structural ceiling of monolithic inference and treat LLM serving as a real distributed systems problem.

May 8, 2026 · Bhanu Pratap Singh · AI & Machine Learning

The Seven-Model Problem: Enterprise AI Inference Has Left the Lab — and the Control Plane Hasn't Caught Up

F5's 2026 State of Application Strategy Report drops a number that should alarm every platform architect: the average enterprise is now running seven AI models simultaneously in production. The traffic cop that routes between them, governs them, and keeps them from burning your budget? Most enterprises don't have one.