Your Fine-Tuned Model Expires in 90 Days
Fine-tuning deprecation is the cost nobody amortizes: your fine-tune is built on a base snapshot that gets retired, and your knowledge goes...
Framesta Fernando 37 articles
Fine-tuning deprecation is the cost nobody amortizes: your fine-tune is built on a base snapshot that gets retired, and your knowledge goes...
Framesta Fernando
Multi-region cost roughly doubles infra for latency most users never perceive. Active-active is sold as a performance win and bought as a re...
Framesta Fernando
AI agent evaluation cost is the budget line nobody plans, so quality regresses silently. Without an eval harness, a prompt tweak degrades th...
Framesta Fernando
Batch inference cost is half the price of real-time, yet teams run everything synchronously. Most LLM work does not need to be instant. The...
Framesta Fernando
Kubernetes cost climbs even when traffic is flat, because you pay for nodes provisioned, not pods used. Why cluster utilization sits near 20...
Framesta Fernando
Outcome-based pricing has the best margins and the worst disputes. Without measurement and attribution you own, every invoice is an argument...
Framesta Fernando
Postgres for everything is great advice until queue, vector, and analytics workloads fight your OLTP traffic for the same connections and ca...
Framesta Fernando
RAG vs fine-tuning cost is the wrong question. The real axis is cost-per-query versus cost-per-update. Which one bankrupts you depends on ho...
Framesta Fernando
The LLM gateway build vs buy call looks obvious until the afternoon proxy becomes an unowned platform. Where the routing layer turns into a...
Framesta Fernando