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    <title>Nvidia on Greg Herlein</title>
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    <description>Recent content in Nvidia on Greg Herlein</description>
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    <copyright>&amp;copy; 2018-2026. All rights reserved.</copyright>
    <lastBuildDate>Thu, 06 Aug 2026 00:00:01 -0800</lastBuildDate>
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      <title>I Wanted the Laptop to Win (an Inference Challenge)</title>
      <link>https://blog.herlein.com/post/gx10-vs-zbook-g1a-coding-agent/</link>
      <pubDate>Thu, 06 Aug 2026 00:00:01 -0800</pubDate>
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      <description>&lt;p&gt;I have two 128 GB unified-memory machines on my desk. Day job gear, not mine.  One is an &lt;a href=&#34;https://www.asus.com/us/networking-iot-servers/desktop-ai-supercomputer/ultra-small-ai-supercomputers/asus-ascent-gx10/&#34;&gt;ASUS Ascent GX10&lt;/a&gt; — an NVIDIA GB10 Grace Blackwell appliance half the size of a hardback book. The other is an &lt;a href=&#34;https://www.hp.com/us-en/shop/pdp/hp-zbook-ultra-g1a-14-inch-mobile-workstation-pc-customizable-ay8k7av-mb&#34;&gt;HP ZBook Ultra G1a&lt;/a&gt;, a 14&amp;quot; mobile workstation running AMD&amp;rsquo;s Ryzen AI MAX+ PRO 395 (&amp;ldquo;Strix Halo&amp;rdquo;). Both hold an 80B coding model entirely in memory.  How do they compare for agentic coding?&lt;/p&gt;</description>
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