<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Kv-Cache on History</title><link>https://kukie.tech/tags/kv-cache/</link><description>Recent content in Kv-Cache on History</description><generator>Hugo</generator><language>ko-kr</language><lastBuildDate>Mon, 26 Oct 2026 02:00:00 +0900</lastBuildDate><atom:link href="https://kukie.tech/tags/kv-cache/index.xml" rel="self" type="application/rss+xml"/><item><title>Kukie Serving.01 Baseline on One L40S</title><link>https://kukie.tech/posts/kukie-serving-01/</link><pubDate>Mon, 26 Oct 2026 02:00:00 +0900</pubDate><guid>https://kukie.tech/posts/kukie-serving-01/</guid><description>Measuring how many concurrent requests one NVIDIA L40S serves within a latency SLA before building a GPU cluster — the SLA draft as TTFT and inter-token latency, a single g6e.xlarge with two stop guards, a measurement script split from the server so it can run as a Kubernetes Job, results for four open models, why MoE models outrun a dense 27B on memory bandwidth, KV cache FP8 for 20% more headroom, and two review fixes.</description></item></channel></rss>