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Tag: AI Latency Optimization
Approaches to reduce latency and improve performance in AI systems.
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Why Most RAG Architectures Break Under Real User Load
The demo worked. The production launch didn’t. The pattern is predictable. The RAG demo looks great in a room with five people. Then you hit 200 to 800 QPS and…
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Designing the accuracy-latency trade-off in production AI
Your offline eval says 92% accuracy. Your users bail at the spinner. I have seen a 30% drop in chat engagement when time-to-first-token drifted from 500 ms to 1.8 s,…
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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 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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GPU vs CPU for AI Workloads: The Real Cost-Performance Trade-offs
The painful question I get every quarter We are spending a fortune on GPUs. Can we move inference to CPUs and cut cost without blowing up latency? I have walked…
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Streaming vs batching in LLM systems: how I decide in production
The painful truth about streaming vs batching If your chat UI feels snappy in the demo but falls apart under real traffic, you probably picked the wrong side in the…
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Caching strategies for LLM systems that actually work
The silent reason your LLM bill is 2x higher than it should be If your latency is spiky, your OpenAI or self-hosted bill is creeping up, and your team keeps…
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Designing low latency AI for real time: what actually works
The real problem with “real time” AI Your p50 looks fine. Your users don’t care. They feel the p95. I’ve walked into teams with a neat demo, then watched the…
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The hidden bottlenecks in multi-agent AI systems
The hidden bottlenecks in multi-agent AI systems Everyone loves the demo where a planner agent hands work to a researcher, who hands work to a critic, who hands work to…
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LLM Latency In Production: What Actually Works
The spinner is lying to you If your LLM app shows a typing effect in under 300 ms but p95 completes at 6 to 10 seconds, users feel the lag….
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