惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

大猫的无限游戏
大猫的无限游戏
U
Unit 42
T
Tailwind CSS Blog
罗磊的独立博客
WordPress大学
WordPress大学
小众软件
小众软件
Recent Announcements
Recent Announcements
博客园 - 聂微东
Jina AI
Jina AI
云风的 BLOG
云风的 BLOG
博客园 - 【当耐特】
爱范儿
爱范儿
Microsoft Azure Blog
Microsoft Azure Blog
GbyAI
GbyAI
V
V2EX
博客园 - 三生石上(FineUI控件)
I
InfoQ
雷峰网
雷峰网
G
Google Developers Blog
阮一峰的网络日志
阮一峰的网络日志
B
Blog
腾讯CDC
A
About on SuperTechFans
博客园 - 叶小钗

HN's home page

Rainbow Query Language | Hacker News Exec into Node via Kubectl An AI native hedge fund The Seven-Action Documentation Model | Hacker News Package Manager for Kubectl Plugins Tongan Castaways | Hacker News Tech overlords plan for conscious AI to conquer the cosmos. What could go wrong? Data Breach Disclosure Lag Is Getting Worse How LLMs Work | Hacker News I Dropped PRDs for Shape Up Go Experiments Explained | Hacker News FCA's Palantir deal could expose UK financial data to Trump's US, critics fear WebXR BCI for Neural-Adaptive Avatar Control in Mixed Reality The first murder conviction via DNA analysis Tom Interviews Theo de Raadt of the OpenBSD Project (2019) [video] Show HN: Replace shell commands with bun shell typescript scripts Quay.io Is Down | Hacker News AI driven analysis of brokerage account fees in the UK Bill Gates Spent Years Crafting His Image. Now It's Cracking Using LLMs to secure source code Wi-Fi 8 in the Lab [video] The household battery revolution that could change energy bills and the world Is Python Becoming Pinyin? | Hacker News Livia – Executive Assistant | Hacker News FindMyPipe – Query Apple Find My from Linux for AI Agents Show HN: Agent skill for creating product launch videos with Remotion RecruitMyself – AI job search copilot for resumes and applications AI coding agents and the erosion of system understanding The 'Resting' Generation and South Korea's Youth Recession AMD Computex 2026: 10 Years of AM4, AM5 Support Through 2029
Quantifying LLM Cost Savings from Cache-Aware Inference R...
zxy-action · 2026-06-19 · via HN's home page

I’m the founder of Auriko. We ran this study to measure how much cache-aware llm routing can reduce inference costs.

Comparator names are anonymized because the point is to demonstrate the cost reduction, not to rank specific inference routers or providers.

Critiques are welcome