#aicostoptimization

Originally published at norvik.tech Introduction A deep dive into the impact of...

Don't deploy 14 cost-reduction techniques. Deploy 5 that capture most of the savings, in this order: provider-native prompt caching, exact-m

The architectural decisions that separate controlled spend from compounding surprises AI and...

Most AI spend is opex by default — SaaS, API consumption, fine-tuning third-party APIs. The narrow capex window explained for Indian CFOs and auditors.

Honest comparison of AI / cloud cost optimisation providers in India — CloudKeeper, Apptio, Big-4, cloud-native shops, boutique advisory. Who fits what.

Leverage Google's powerful Gemini 3.5 and Omni AI models to build advanced, cost-efficient web apps

--- title: "Client-Side LLM Optimization Is Misunderstood" description: "Client-side LLM inference...

LLM FinOps is the discipline of managing AI/LLM spend like serious infrastructure cost. Three frames — solo builder, engineering org, CFO — explained.

Bernstein's epsilon-greedy bandit router learns which model fits each task type. In our own runs, the bandit cut spend roughly in half. Measure yours with bernstein cost.

There's a pattern I keep seeing across enterprise AI builds. Nobody talks about it because it's not a...