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    <title>The Minutes of Dylan Patel on hardware</title>
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    <description>Everything Dylan Patel has said on hardware: 5 verbatim quotes between November 2024 and August 2026, each with a timestamp and a link to the recording it…</description>
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      <title>Patel argues silicon supply can be optimized for either high throughput or high interactivity use cases.</title>
      <link>https://minutesof.com/q/6a3bd7b5-c74b-46a6-9dd5-8db72aa9576f/</link>
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      <description>“Supply of silicon can go many ways. You can either leverage it to high throughput things or high interactivity things.” — SemiAnalysis</description>
      <pubDate>Mon, 17 Aug 2026 15:00:06 +0000</pubDate>
      <category>hardware</category>
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    <item>
      <title>Patel says InferenceX now has over $80 million of compute across multiple vendors.</title>
      <link>https://minutesof.com/q/eb8b0b35-dc54-4b31-af11-cfea01d719e6/</link>
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      <description>“we have over $80,000,000 of compute GPUs from NVIDIA AMD, TPUs from, Google, Tranium from Amazon, and we run this benchmark constantly on the newest inference engine, newest drivers, newest, PyTorch version,” — RAISE Summit</description>
      <pubDate>Thu, 16 Jul 2026 16:44:57 +0000</pubDate>
      <category>hardware</category>
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    <item>
      <title>Patel claims hardware improved 30x from Hopper to Blackwell for DeepSeek on optimized deployments.</title>
      <link>https://minutesof.com/q/1aeaaf0c-1080-4d21-a79c-2bc3d127baf5/</link>
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      <description>“from Hopper to Blackwell, which is all we&#x27;ve had over the last three years, roughly 30x improvement on DeepSeek, on the most optimized deployment, which you can see on InferenceX there&#x27;s about a 30x improvement.” — Sequoia Capital</description>
      <pubDate>Tue, 30 Jun 2026 12:00:25 +0000</pubDate>
      <category>hardware</category>
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      <title>Patel explains Bumpgate issue where thermal expansion differences caused GPU solder ball failures in Apple lap</title>
      <link>https://minutesof.com/q/0a5f3bdf-1c4b-45e3-ae44-c701f4cf2fee/</link>
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      <description>“And what ended up happening is because of that different rate of expansion, the solder balls connecting the chip and the board would crack.” — Matthew Berman</description>
      <pubDate>Mon, 30 Jun 2025 17:27:19 +0000</pubDate>
      <category>hardware</category>
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    <item>
      <title>Patel claims four to five percent of NVIDIA GPUs fail during initial burn-in testing within two weeks.</title>
      <link>https://minutesof.com/q/36c00658-21e4-44c9-9919-c879522edbb7/</link>
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      <description>“Buy a good chip from NVIDIA, and then it ends up failing like constantly, right?” — Scaling Intelligence</description>
      <pubDate>Tue, 12 Nov 2024 04:17:00 +0000</pubDate>
      <category>hardware</category>
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