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2016 - 2016 -
2025 2025
Eric X. Liu Eric X. Liu
<a href="https://git.ericxliu.me/eric/ericxliu-me/commit/2bb856b">[2bb856b]</a></section></footer></main><script src=/js/coder.min.6ae284be93d2d19dad1f02b0039508d9aab3180a12a06dcc71b0b0ef7825a317.js integrity="sha256-auKEvpPS0Z2tHwKwA5UI2aqzGAoSoG3McbCw73gloxc="></script><script defer src=https://static.cloudflareinsights.com/beacon.min.js data-cf-beacon='{"token": "987638e636ce4dbb932d038af74c17d1"}'></script></body></html> <a href="https://git.ericxliu.me/eric/ericxliu-me/commit/de8df55">[de8df55]</a></section></footer></main><script src=/js/coder.min.6ae284be93d2d19dad1f02b0039508d9aab3180a12a06dcc71b0b0ef7825a317.js integrity="sha256-auKEvpPS0Z2tHwKwA5UI2aqzGAoSoG3McbCw73gloxc="></script><script defer src=https://static.cloudflareinsights.com/beacon.min.js data-cf-beacon='{"token": "987638e636ce4dbb932d038af74c17d1"}'></script></body></html>

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<!doctype html><html lang=en><head><title>About · Eric X. Liu's Personal Page</title><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=color-scheme content="light dark"><meta name=author content="Eric X. Liu"><meta name=description content="Hi, I&rsquo;m Eric Liu. <!doctype html><html lang=en><head><title>About · Eric X. Liu's Personal Page</title><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=color-scheme content="light dark"><meta name=author content="Eric X. Liu"><meta name=description content="
Hi, I&rsquo;m Eric Liu.
I am a Staff Software Engineer and Tech Lead Manager (TLM) at Google, based in Sunnyvale, CA. I am a Staff Software Engineer and Tech Lead Manager (TLM) at Google, based in Sunnyvale, CA.
My work focuses on Platforms Performance and Customer Engineering, specifically for GPUs and TPUs. I lead teams that bridge the gap between cutting-edge AI hardware and the latest ML models (like Gemini), ensuring optimal performance and reliability at Google Cloud scale. My work focuses on Infrastructure Performance and Customer Engineering, specifically for GPUs and TPUs. I lead teams that bridge the gap between cutting-edge AI hardware and the latest ML models (like Gemini), ensuring optimal performance and reliability at Google Cloud scale. I thrive in the ambiguous space where hardware constraints meet software ambition—whether it&rsquo;s debugging race conditions across thousands of chips or designing API surfaces for next-gen models."><meta name=keywords content="software engineer,performance engineering,Google engineer,tech blog,software development,performance optimization,Eric Liu,engineering blog,mountain biking,Jeep enthusiast,overlanding,camping,outdoor adventures"><meta name=twitter:card content="summary"><meta name=twitter:title content="About"><meta name=twitter:description content="Hi, I’m Eric Liu.
Beyond the code, I maintain this &ldquo;digital garden&rdquo; where I document my projects and learnings. It serves as my second brain, capturing everything from technical deep dives to random musings."><meta name=keywords content="software engineer,performance engineering,Google engineer,tech blog,software development,performance optimization,Eric Liu,engineering blog,mountain biking,Jeep enthusiast,overlanding,camping,outdoor adventures"><meta name=twitter:card content="summary"><meta name=twitter:title content="About"><meta name=twitter:description content="Hi, I’m Eric Liu.
I am a Staff Software Engineer and Tech Lead Manager (TLM) at Google, based in Sunnyvale, CA. I am a Staff Software Engineer and Tech Lead Manager (TLM) at Google, based in Sunnyvale, CA.
My work focuses on Platforms Performance and Customer Engineering, specifically for GPUs and TPUs. I lead teams that bridge the gap between cutting-edge AI hardware and the latest ML models (like Gemini), ensuring optimal performance and reliability at Google Cloud scale. My work focuses on Infrastructure Performance and Customer Engineering, specifically for GPUs and TPUs. I lead teams that bridge the gap between cutting-edge AI hardware and the latest ML models (like Gemini), ensuring optimal performance and reliability at Google Cloud scale. I thrive in the ambiguous space where hardware constraints meet software ambition—whether it’s debugging race conditions across thousands of chips or designing API surfaces for next-gen models."><meta property="og:url" content="https://ericxliu.me/about/"><meta property="og:site_name" content="Eric X. Liu's Personal Page"><meta property="og:title" content="About"><meta property="og:description" content="Hi, I’m Eric Liu.
Beyond the code, I maintain this “digital garden” where I document my projects and learnings. It serves as my second brain, capturing everything from technical deep dives to random musings."><meta property="og:url" content="https://ericxliu.me/about/"><meta property="og:site_name" content="Eric X. Liu's Personal Page"><meta property="og:title" content="About"><meta property="og:description" content="Hi, I’m Eric Liu.
I am a Staff Software Engineer and Tech Lead Manager (TLM) at Google, based in Sunnyvale, CA. I am a Staff Software Engineer and Tech Lead Manager (TLM) at Google, based in Sunnyvale, CA.
My work focuses on Platforms Performance and Customer Engineering, specifically for GPUs and TPUs. I lead teams that bridge the gap between cutting-edge AI hardware and the latest ML models (like Gemini), ensuring optimal performance and reliability at Google Cloud scale. My work focuses on Infrastructure Performance and Customer Engineering, specifically for GPUs and TPUs. I lead teams that bridge the gap between cutting-edge AI hardware and the latest ML models (like Gemini), ensuring optimal performance and reliability at Google Cloud scale. I thrive in the ambiguous space where hardware constraints meet software ambition—whether it’s debugging race conditions across thousands of chips or designing API surfaces for next-gen models."><meta property="og:locale" content="en"><meta property="og:type" content="article"><meta property="article:published_time" content="2025-12-19T22:46:12-08:00"><meta property="article:modified_time" content="2025-12-20T09:52:07-08:00"><link rel=preload href=/fonts/fa-solid-900.woff2 as=font type=font/woff2 crossorigin><link rel=preload href=/fonts/fa-brands-400.woff2 as=font type=font/woff2 crossorigin><link rel=canonical href=https://ericxliu.me/about/><link rel=preload href=/fonts/fa-brands-400.woff2 as=font type=font/woff2 crossorigin><link rel=preload href=/fonts/fa-regular-400.woff2 as=font type=font/woff2 crossorigin><link rel=preload href=/fonts/fa-solid-900.woff2 as=font type=font/woff2 crossorigin><link rel=stylesheet href=/css/coder.min.f03d6359cf766772af14fbe07ce6aca734b321c2e15acba0bbf4e2254941c460.css integrity="sha256-8D1jWc92Z3KvFPvgfOaspzSzIcLhWsugu/TiJUlBxGA=" crossorigin=anonymous media=screen><link rel=stylesheet href=/css/coder-dark.min.a00e6364bacbc8266ad1cc81230774a1397198f8cfb7bcba29b7d6fcb54ce57f.css integrity="sha256-oA5jZLrLyCZq0cyBIwd0oTlxmPjPt7y6KbfW/LVM5X8=" crossorigin=anonymous media=screen><link rel=icon type=image/svg+xml href=/images/favicon.svg sizes=any><link rel=icon type=image/png href=/images/favicon-32x32.png sizes=32x32><link rel=icon type=image/png href=/images/favicon-16x16.png sizes=16x16><link rel=apple-touch-icon href=/images/apple-touch-icon.png><link rel=apple-touch-icon sizes=180x180 href=/images/apple-touch-icon.png><link rel=manifest href=/site.webmanifest><link rel=mask-icon href=/images/safari-pinned-tab.svg color=#5bbad5><script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js?client=ca-pub-3972604619956476" crossorigin=anonymous></script><script type=application/ld+json>{"@context":"http://schema.org","@type":"Person","name":"Eric X. Liu","url":"https:\/\/ericxliu.me\/","description":"Software \u0026 Performance Engineer at Google","sameAs":["https:\/\/www.linkedin.com\/in\/eric-x-liu-46648b93\/","https:\/\/git.ericxliu.me\/eric"]}</script><script type=application/ld+json>{"@context":"http://schema.org","@type":"BlogPosting","headline":"About","genre":"Blog","wordcount":"201","url":"https:\/\/ericxliu.me\/about\/","datePublished":"2025-12-19T22:46:12-08:00","dateModified":"2025-12-20T09:52:07-08:00","description":"\u003cimg src=\u0022\/images\/about.jpeg\u0022 alt=\u0022Eric Liu\u0022 width=\u0022300\u0022 style=\u0022float: left; margin-right: 1.5rem; margin-bottom: 1rem; border-radius: 8px;\u0022\/\u003e\n\u003cp\u003eHi, I\u0026rsquo;m \u003cstrong\u003eEric Liu\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003eI am a \u003cstrong\u003eStaff Software Engineer and Tech Lead Manager (TLM)\u003c\/strong\u003e at \u003cstrong\u003eGoogle\u003c\/strong\u003e, based in Sunnyvale, CA.\u003c\/p\u003e\n\u003cp\u003eMy work focuses on \u003cstrong\u003eInfrastructure Performance and Customer Engineering\u003c\/strong\u003e, specifically for \u003cstrong\u003eGPUs and TPUs\u003c\/strong\u003e. I lead teams that bridge the gap between cutting-edge AI hardware and the latest ML models (like Gemini), ensuring optimal performance and reliability at Google Cloud scale. I thrive in the ambiguous space where hardware constraints meet software ambition—whether it\u0026rsquo;s debugging race conditions across thousands of chips or designing API surfaces for next-gen models.\u003c\/p\u003e","author":{"@type":"Person","name":"Eric X. Liu"}}</script></head><body class="preload-transitions colorscheme-auto"><div class=float-container><a id=dark-mode-toggle class=colorscheme-toggle><i class="fa-solid fa-adjust fa-fw" aria-hidden=true></i></a></div><main class=wrapper><nav class=navigation><section class=container><a class=navigation-title href=https://ericxliu.me/>Eric X. Liu's Personal Page
Beyond the code, I maintain this “digital garden” where I document my projects and learnings. It serves as my second brain, capturing everything from technical deep dives to random musings."><meta property="og:locale" content="en"><meta property="og:type" content="article"><meta property="article:published_time" content="2025-12-19T22:46:12-08:00"><meta property="article:modified_time" content="2025-12-19T23:02:31-08:00"><link rel=preload href=/fonts/fa-solid-900.woff2 as=font type=font/woff2 crossorigin><link rel=preload href=/fonts/fa-brands-400.woff2 as=font type=font/woff2 crossorigin><link rel=canonical href=https://ericxliu.me/about/><link rel=preload href=/fonts/fa-brands-400.woff2 as=font type=font/woff2 crossorigin><link rel=preload href=/fonts/fa-regular-400.woff2 as=font type=font/woff2 crossorigin><link rel=preload href=/fonts/fa-solid-900.woff2 as=font type=font/woff2 crossorigin><link rel=stylesheet href=/css/coder.min.f03d6359cf766772af14fbe07ce6aca734b321c2e15acba0bbf4e2254941c460.css integrity="sha256-8D1jWc92Z3KvFPvgfOaspzSzIcLhWsugu/TiJUlBxGA=" crossorigin=anonymous media=screen><link rel=stylesheet href=/css/coder-dark.min.a00e6364bacbc8266ad1cc81230774a1397198f8cfb7bcba29b7d6fcb54ce57f.css integrity="sha256-oA5jZLrLyCZq0cyBIwd0oTlxmPjPt7y6KbfW/LVM5X8=" crossorigin=anonymous media=screen><link rel=icon type=image/svg+xml href=/images/favicon.svg sizes=any><link rel=icon type=image/png href=/images/favicon-32x32.png sizes=32x32><link rel=icon type=image/png href=/images/favicon-16x16.png sizes=16x16><link rel=apple-touch-icon href=/images/apple-touch-icon.png><link rel=apple-touch-icon sizes=180x180 href=/images/apple-touch-icon.png><link rel=manifest href=/site.webmanifest><link rel=mask-icon href=/images/safari-pinned-tab.svg color=#5bbad5><script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js?client=ca-pub-3972604619956476" crossorigin=anonymous></script><script type=application/ld+json>{"@context":"http://schema.org","@type":"Person","name":"Eric X. Liu","url":"https:\/\/ericxliu.me\/","description":"Software \u0026 Performance Engineer at Google","sameAs":["https:\/\/www.linkedin.com\/in\/eric-x-liu-46648b93\/","https:\/\/git.ericxliu.me\/eric"]}</script><script type=application/ld+json>{"@context":"http://schema.org","@type":"BlogPosting","headline":"About","genre":"Blog","wordcount":"144","url":"https:\/\/ericxliu.me\/about\/","datePublished":"2025-12-19T22:46:12-08:00","dateModified":"2025-12-19T23:02:31-08:00","description":"\u003cp\u003eHi, I\u0026rsquo;m \u003cstrong\u003eEric Liu\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003eI am a \u003cstrong\u003eStaff Software Engineer and Tech Lead Manager (TLM)\u003c\/strong\u003e at \u003cstrong\u003eGoogle\u003c\/strong\u003e, based in Sunnyvale, CA.\u003c\/p\u003e\n\u003cp\u003eMy work focuses on \u003cstrong\u003ePlatforms Performance and Customer Engineering\u003c\/strong\u003e, specifically for \u003cstrong\u003eGPUs and TPUs\u003c\/strong\u003e. I lead teams that bridge the gap between cutting-edge AI hardware and the latest ML models (like Gemini), ensuring optimal performance and reliability at Google Cloud scale.\u003c\/p\u003e\n\u003cp\u003eBeyond the code, I maintain this \u0026ldquo;digital garden\u0026rdquo; where I document my projects and learnings. It serves as my second brain, capturing everything from technical deep dives to random musings.\u003c\/p\u003e","author":{"@type":"Person","name":"Eric X. Liu"}}</script></head><body class="preload-transitions colorscheme-auto"><div class=float-container><a id=dark-mode-toggle class=colorscheme-toggle><i class="fa-solid fa-adjust fa-fw" aria-hidden=true></i></a></div><main class=wrapper><nav class=navigation><section class=container><a class=navigation-title href=https://ericxliu.me/>Eric X. Liu's Personal Page
</a><input type=checkbox id=menu-toggle> </a><input type=checkbox id=menu-toggle>
<label class="menu-button float-right" for=menu-toggle><i class="fa-solid fa-bars fa-fw" aria-hidden=true></i></label><ul class=navigation-list><li class=navigation-item><a class=navigation-link href=/posts/>Posts</a></li><li class=navigation-item><a class=navigation-link href=https://chat.ericxliu.me>Chat</a></li><li class=navigation-item><a class=navigation-link href=https://git.ericxliu.me/user/oauth2/Authenitk>Git</a></li><li class=navigation-item><a class=navigation-link href=https://coder.ericxliu.me/api/v2/users/oidc/callback>Coder</a></li><li class=navigation-item><a class=navigation-link href=/about/>About</a></li><li class=navigation-item><a class=navigation-link href=/>|</a></li><li class=navigation-item><a class=navigation-link href=https://sso.ericxliu.me>Sign in</a></li></ul></section></nav><div class=content><section class="container page"><article><header><h1 class=title><a class=title-link href=https://ericxliu.me/about/>About</a></h1></header><p>Hi, I&rsquo;m <strong>Eric Liu</strong>.</p><p>I am a <strong>Staff Software Engineer and Tech Lead Manager (TLM)</strong> at <strong>Google</strong>, based in Sunnyvale, CA.</p><p>My work focuses on <strong>Platforms Performance and Customer Engineering</strong>, specifically for <strong>GPUs and TPUs</strong>. I lead teams that bridge the gap between cutting-edge AI hardware and the latest ML models (like Gemini), ensuring optimal performance and reliability at Google Cloud scale.</p><p>Beyond the code, I maintain this &ldquo;digital garden&rdquo; where I document my projects and learnings. It serves as my second brain, capturing everything from technical deep dives to random musings.</p><h3 id=personal-interests>Personal Interests <label class="menu-button float-right" for=menu-toggle><i class="fa-solid fa-bars fa-fw" aria-hidden=true></i></label><ul class=navigation-list><li class=navigation-item><a class=navigation-link href=/posts/>Posts</a></li><li class=navigation-item><a class=navigation-link href=https://chat.ericxliu.me>Chat</a></li><li class=navigation-item><a class=navigation-link href=https://git.ericxliu.me/user/oauth2/Authenitk>Git</a></li><li class=navigation-item><a class=navigation-link href=https://coder.ericxliu.me/api/v2/users/oidc/callback>Coder</a></li><li class=navigation-item><a class=navigation-link href=/about/>About</a></li><li class=navigation-item><a class=navigation-link href=/>|</a></li><li class=navigation-item><a class=navigation-link href=https://sso.ericxliu.me>Sign in</a></li></ul></section></nav><div class=content><section class="container page"><article><header><h1 class=title><a class=title-link href=https://ericxliu.me/about/>About</a></h1></header><img src=/images/about.jpeg alt="Eric Liu" width=300 style=float:left;margin-right:1.5rem;margin-bottom:1rem;border-radius:8px><p>Hi, I&rsquo;m <strong>Eric Liu</strong>.</p><p>I am a <strong>Staff Software Engineer and Tech Lead Manager (TLM)</strong> at <strong>Google</strong>, based in Sunnyvale, CA.</p><p>My work focuses on <strong>Infrastructure Performance and Customer Engineering</strong>, specifically for <strong>GPUs and TPUs</strong>. I lead teams that bridge the gap between cutting-edge AI hardware and the latest ML models (like Gemini), ensuring optimal performance and reliability at Google Cloud scale. I thrive in the ambiguous space where hardware constraints meet software ambition—whether it&rsquo;s debugging race conditions across thousands of chips or designing API surfaces for next-gen models.</p><p>Beyond the code, I maintain this &ldquo;digital garden&rdquo; where I document my projects and learnings. It serves as my second brain, capturing everything from technical deep dives to random musings. I believe in <strong>&ldquo;learning in public&rdquo;</strong>—so you&rsquo;ll find unpolished notes on troubleshooting Kubernetes clusters alongside recipes I&rsquo;m refining. It&rsquo;s not just a blog; it&rsquo;s a living repository of my curiosity.</p><h3 id=personal-interests>Personal Interests
<a class=heading-link href=#personal-interests><i class="fa-solid fa-link" aria-hidden=true title="Link to heading"></i> <a class=heading-link href=#personal-interests><i class="fa-solid fa-link" aria-hidden=true title="Link to heading"></i>
<span class=sr-only>Link to heading</span></a></h3><p>I&rsquo;m a tinkerer at heart, whether digital or physical:</p><ul><li><strong>Homelab</strong>: Kubernetes, Proxmox, and self-hosted services. I love over-engineering my home network.</li><li><strong>DIY & Jeep</strong>: Maintaining and modifying my Jeep, and general DIY projects.</li><li><strong>Cooking</strong>: experimenting with new recipes and techniques.</li></ul><p>Welcome to my corner of the internet.</p></article></section><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/katex@0.16.4/dist/katex.min.css integrity=sha384-vKruj+a13U8yHIkAyGgK1J3ArTLzrFGBbBc0tDp4ad/EyewESeXE/Iv67Aj8gKZ0 crossorigin=anonymous><script defer src=https://cdn.jsdelivr.net/npm/katex@0.16.4/dist/katex.min.js integrity=sha384-PwRUT/YqbnEjkZO0zZxNqcxACrXe+j766U2amXcgMg5457rve2Y7I6ZJSm2A0mS4 crossorigin=anonymous></script><script defer src=https://cdn.jsdelivr.net/npm/katex@0.16.4/dist/contrib/auto-render.min.js integrity=sha384-+VBxd3r6XgURycqtZ117nYw44OOcIax56Z4dCRWbxyPt0Koah1uHoK0o4+/RRE05 crossorigin=anonymous onload='renderMathInElement(document.body,{delimiters:[{left:"$$",right:"$$",display:!0},{left:"$",right:"$",display:!1},{left:"\\(",right:"\\)",display:!1},{left:"\\[",right:"\\]",display:!0}]})'></script></div><footer class=footer><section class=container>© <span class=sr-only>Link to heading</span></a></h3><p>I&rsquo;m a tinkerer at heart, whether digital or physical:</p><ul><li><strong>Homelab</strong>: Kubernetes, Proxmox, and self-hosted services. I love over-engineering my home network.</li><li><strong>DIY & Jeep</strong>: Maintaining and modifying my Jeep, and general DIY projects.</li><li><strong>Cooking</strong>: experimenting with new recipes and techniques.</li></ul><p>Welcome to my corner of the internet.</p></article></section><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/katex@0.16.4/dist/katex.min.css integrity=sha384-vKruj+a13U8yHIkAyGgK1J3ArTLzrFGBbBc0tDp4ad/EyewESeXE/Iv67Aj8gKZ0 crossorigin=anonymous><script defer src=https://cdn.jsdelivr.net/npm/katex@0.16.4/dist/katex.min.js integrity=sha384-PwRUT/YqbnEjkZO0zZxNqcxACrXe+j766U2amXcgMg5457rve2Y7I6ZJSm2A0mS4 crossorigin=anonymous></script><script defer src=https://cdn.jsdelivr.net/npm/katex@0.16.4/dist/contrib/auto-render.min.js integrity=sha384-+VBxd3r6XgURycqtZ117nYw44OOcIax56Z4dCRWbxyPt0Koah1uHoK0o4+/RRE05 crossorigin=anonymous onload='renderMathInElement(document.body,{delimiters:[{left:"$$",right:"$$",display:!0},{left:"$",right:"$",display:!1},{left:"\\(",right:"\\)",display:!1},{left:"\\[",right:"\\]",display:!0}]})'></script></div><footer class=footer><section class=container>©
2016 - 2016 -
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Eric X. Liu Eric X. Liu
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2016 - 2016 -
2025 2025
Eric X. Liu Eric X. Liu
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2016 - 2016 -
2025 2025
Eric X. Liu Eric X. Liu
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<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Eric X. Liu's Personal Page</title><link>https://ericxliu.me/</link><description>Recent content on Eric X. Liu's Personal Page</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 19 Dec 2025 23:02:31 -0800</lastBuildDate><atom:link href="https://ericxliu.me/index.xml" rel="self" type="application/rss+xml"/><item><title>About</title><link>https://ericxliu.me/about/</link><pubDate>Fri, 19 Dec 2025 22:46:12 -0800</pubDate><guid>https://ericxliu.me/about/</guid><description>&lt;p&gt;Hi, I&amp;rsquo;m &lt;strong&gt;Eric Liu&lt;/strong&gt;.&lt;/p&gt; <?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Eric X. Liu's Personal Page</title><link>https://ericxliu.me/</link><description>Recent content on Eric X. Liu's Personal Page</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 20 Dec 2025 09:52:07 -0800</lastBuildDate><atom:link href="https://ericxliu.me/index.xml" rel="self" type="application/rss+xml"/><item><title>About</title><link>https://ericxliu.me/about/</link><pubDate>Fri, 19 Dec 2025 22:46:12 -0800</pubDate><guid>https://ericxliu.me/about/</guid><description>&lt;img src="https://ericxliu.me/images/about.jpeg" alt="Eric Liu" width="300" style="float: left; margin-right: 1.5rem; margin-bottom: 1rem; border-radius: 8px;"/&gt;
&lt;p&gt;Hi, I&amp;rsquo;m &lt;strong&gt;Eric Liu&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;I am a &lt;strong&gt;Staff Software Engineer and Tech Lead Manager (TLM)&lt;/strong&gt; at &lt;strong&gt;Google&lt;/strong&gt;, based in Sunnyvale, CA.&lt;/p&gt; &lt;p&gt;I am a &lt;strong&gt;Staff Software Engineer and Tech Lead Manager (TLM)&lt;/strong&gt; at &lt;strong&gt;Google&lt;/strong&gt;, based in Sunnyvale, CA.&lt;/p&gt;
&lt;p&gt;My work focuses on &lt;strong&gt;Platforms Performance and Customer Engineering&lt;/strong&gt;, specifically for &lt;strong&gt;GPUs and TPUs&lt;/strong&gt;. I lead teams that bridge the gap between cutting-edge AI hardware and the latest ML models (like Gemini), ensuring optimal performance and reliability at Google Cloud scale.&lt;/p&gt; &lt;p&gt;My work focuses on &lt;strong&gt;Infrastructure Performance and Customer Engineering&lt;/strong&gt;, specifically for &lt;strong&gt;GPUs and TPUs&lt;/strong&gt;. I lead teams that bridge the gap between cutting-edge AI hardware and the latest ML models (like Gemini), ensuring optimal performance and reliability at Google Cloud scale. I thrive in the ambiguous space where hardware constraints meet software ambition—whether it&amp;rsquo;s debugging race conditions across thousands of chips or designing API surfaces for next-gen models.&lt;/p&gt;</description></item><item><title>The Convergence of Fast Weights, Linear Attention, and State Space Models</title><link>https://ericxliu.me/posts/the-convergence-of-fast-weights-linear-attention-and-state-space-models/</link><pubDate>Fri, 19 Dec 2025 00:00:00 +0000</pubDate><guid>https://ericxliu.me/posts/the-convergence-of-fast-weights-linear-attention-and-state-space-models/</guid><description>&lt;p&gt;Modern Large Language Models (LLMs) are dominated by the Transformer architecture. However, as context windows grow, the computational cost of the Transformer’s attention mechanism has become a primary bottleneck. Recent discussions in the AI community—most notably by Geoffrey Hinton—have highlighted a theoretical link between biological memory mechanisms (&amp;ldquo;Fast Weights&amp;rdquo;) and efficient engineering solutions like Linear Transformers and State Space Models (SSMs).&lt;/p&gt;
&lt;p&gt;Beyond the code, I maintain this &amp;ldquo;digital garden&amp;rdquo; where I document my projects and learnings. It serves as my second brain, capturing everything from technical deep dives to random musings.&lt;/p&gt;</description></item><item><title>The Convergence of Fast Weights, Linear Attention, and State Space Models</title><link>https://ericxliu.me/posts/the-convergence-of-fast-weights-linear-attention-and-state-space-models/</link><pubDate>Fri, 19 Dec 2025 00:00:00 +0000</pubDate><guid>https://ericxliu.me/posts/the-convergence-of-fast-weights-linear-attention-and-state-space-models/</guid><description>&lt;p&gt;Modern Large Language Models (LLMs) are dominated by the Transformer architecture. However, as context windows grow, the computational cost of the Transformer’s attention mechanism has become a primary bottleneck. Recent discussions in the AI community—most notably by Geoffrey Hinton—have highlighted a theoretical link between biological memory mechanisms (&amp;ldquo;Fast Weights&amp;rdquo;) and efficient engineering solutions like Linear Transformers and State Space Models (SSMs).&lt;/p&gt;
&lt;p&gt;This article explores the mathematical equivalence between Hinton’s concept of Fast Weights as Associative Memory and the recurrence mechanisms found in models such as Mamba and RWKV.&lt;/p&gt;</description></item><item><title>vAttention</title><link>https://ericxliu.me/posts/vattention/</link><pubDate>Mon, 08 Dec 2025 00:00:00 +0000</pubDate><guid>https://ericxliu.me/posts/vattention/</guid><description>&lt;p&gt;Large Language Model (LLM) inference is memory-bound, primarily due to the Key-Value (KV) cache—a store of intermediate state that grows linearly with sequence length. Efficient management of this memory is critical for throughput. While &lt;strong&gt;PagedAttention&lt;/strong&gt; (popularized by vLLM) became the industry standard by solving memory fragmentation via software, recent research suggests that leveraging the GPU’s native hardware Memory Management Unit (MMU) offers a more performant and portable solution.&lt;/p&gt; &lt;p&gt;This article explores the mathematical equivalence between Hinton’s concept of Fast Weights as Associative Memory and the recurrence mechanisms found in models such as Mamba and RWKV.&lt;/p&gt;</description></item><item><title>vAttention</title><link>https://ericxliu.me/posts/vattention/</link><pubDate>Mon, 08 Dec 2025 00:00:00 +0000</pubDate><guid>https://ericxliu.me/posts/vattention/</guid><description>&lt;p&gt;Large Language Model (LLM) inference is memory-bound, primarily due to the Key-Value (KV) cache—a store of intermediate state that grows linearly with sequence length. Efficient management of this memory is critical for throughput. While &lt;strong&gt;PagedAttention&lt;/strong&gt; (popularized by vLLM) became the industry standard by solving memory fragmentation via software, recent research suggests that leveraging the GPU’s native hardware Memory Management Unit (MMU) offers a more performant and portable solution.&lt;/p&gt;
&lt;h4 id="the-status-quo-pagedattention-and-software-tables"&gt; &lt;h4 id="the-status-quo-pagedattention-and-software-tables"&gt;
The Status Quo: PagedAttention and Software Tables The Status Quo: PagedAttention and Software Tables

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