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Tag: AI Cost Reduction
Strategies to optimize and reduce AI infrastructure and inference costs.
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The real cost breakdown of running LLM apps on AWS
The part of your LLM bill you do not see in the demo The first time most teams see their real LLM bill is not a happy day. The token…
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AI Observability: Stop Guessing, Start Instrumenting
The uncomfortable truth: you are flying blind Most AI incidents are not outages. They are quiet quality regressions, silent cost blowups, and vendor drift that no one notices for weeks….
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Build vs Buy in AI: A Real Decision Framework That Holds Up in Production
The honest problem Most AI teams waste quarters arguing about build vs buy, then end up doing both in the worst way: they buy a black-box API and still build…
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Hybrid search vs vector search: what actually works in production
The painful pattern The vector-only demo looks great in a sandbox. Then you ship and support tickets pile up. Acronyms don’t resolve, filters don’t filter, legal asks for deterministic behavior,…
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Why your RAG pipeline is slow and expensive
Your RAG is slow because it moves too much data, hops across too many services, and pays LLMs to read junk. It is expensive for the same reasons. I see…
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Why AI Teams Struggle Without a System Design Mindset
Most AI outages I get called into are not model problems. They are system problems wearing model symptoms. The app is slow, answers change between retries, costs spike on Tuesdays,…
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The true cost of self‑hosting LLMs vs using APIs
The real bill usually arrives at p95 I keep seeing the same pattern: a team proves out a feature on an API, gets a scary bill, then someone says “we…
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Why your LLM response time is inconsistent
The real reason your LLM is fast at 11 am and painful at 3 pm You ship a chat feature. Median comes back in 800 ms in staging. In prod,…
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Scaling GenAI from PoC to Production: What Breaks and How to Fix It
The uncomfortable gap between a great demo and a stable product The PoC nails a few curated prompts. The team celebrates. Two weeks later the first production users show up…
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The AI Demo Trap: Closing the gap to real business value
The painful pattern A team ships a slick internal demo. It answers questions, writes code, summarizes PDFs. The room nods. Then you wire it to real data, real users, real…
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