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2016 -
2025
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>
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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.
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.
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.
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.
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.
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.
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.
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.
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
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
</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>
<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 -
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2016 -
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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;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;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;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;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;
The Status Quo: PagedAttention and Software Tables

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@@ -36,4 +36,4 @@ In deep learning, a &ldquo;channel&rdquo; can be thought of as a feature dimensi
2016 -
2025
Eric X. Liu
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posts/unifi-vlan-migration-to-zone-based-architecture/index.html
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@@ -28,4 +28,4 @@ This article documents that journey. It details the pitfalls encountered, the co
2016 -
2025
Eric X. Liu
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posts/useful/index.html
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@@ -9,4 +9,4 @@ One-minute read</span></div></div></header><div class=post-content><ul><li><a hr
2016 -
2025
Eric X. Liu
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posts/vattention/index.html
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@@ -31,4 +31,4 @@ The GPU TLB hierarchy is sensitive to page sizes.</p><ul><li><strong>4KB Pages:<
2016 -
2025
Eric X. Liu
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