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    <title>The Minutes of Dylan Patel on gpu supply chain</title>
    <link>https://minutesof.com/dylan-patel/on/gpu-supply-chain/</link>
    <description>Everything Dylan Patel has said on GPU supply chain: 24 verbatim quotes between November 2024 and August 2026, each with a timestamp and a link to the…</description>
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    <item>
      <title>Patel says NVIDIA has locked up over 60% of supply chain capacity this year in long-term contracts.</title>
      <link>https://minutesof.com/q/7f7c89c2-e221-4652-adbe-c84494b67064/</link>
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      <description>“The NVIDIA has locked up over 60% of the capacity this year in long term contracts alone, and they&#x27;re buying more on top of that.” — CNBC Television</description>
      <pubDate>Mon, 16 Mar 2026 21:58:55 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel reports NVIDIA is negotiating over $250 billion in supply contracts across components this year.</title>
      <link>https://minutesof.com/q/99be2869-e51d-4edf-b958-4a0eb31001f1/</link>
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      <description>“And as you look at what they&#x27;re negotiating in the market today, there&#x27;s over 250,000,000,000 of wafers, of memory, of substrates, of PCBs, of networking equipment that they&#x27;re going to sign this year,” — CNBC Television</description>
      <pubDate>Mon, 16 Mar 2026 21:58:55 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel argues NVIDIA is setting up supply chain to manufacture tens of millions of AI chips.</title>
      <link>https://minutesof.com/q/6de9e7cc-be2c-4b14-aefa-a55d944bc979/</link>
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      <description>“I can&#x27;t buy millions, tens of millions, which is what Jensen&#x27;s, setting his supply chain up for.” — CNBC Television</description>
      <pubDate>Mon, 16 Mar 2026 21:58:55 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel details that producing one gigawatt of Rubin chips requires specific wafer volumes across multiple manuf</title>
      <link>https://minutesof.com/q/ff6866ea-ea84-4f63-9d38-dd6b9d9f502b/</link>
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      <description>“a gigawatt of, you know, NVIDIA&#x27;s Rubin chips. Right? So Rubin is announced at GTC, I believe, the week this podcast goes live.” — Dwarkesh Patel</description>
      <pubDate>Fri, 13 Mar 2026 16:26:57 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel calculates Anthropic added $1.5 billion in compute infrastructure in one month to serve new revenue grow</title>
      <link>https://minutesof.com/q/b1ba2e20-500e-4a5d-8e13-3d8ecec9f6a2/</link>
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      <description>“If Anthropic added 2,500,000,000 of revenue, and their gross margin is 40%, they added like $1,500,000,000 of compute in one month. Mhmm. Right?” — Latent Space</description>
      <pubDate>Thu, 26 Feb 2026 21:15:18 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel predicts Google will have zero cash flow profit in 2027, spending all revenue on AI infrastructure.</title>
      <link>https://minutesof.com/q/1a954518-d905-4ab6-b6df-6800d4e18a40/</link>
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      <description>“There&#x27;s no reason why Google will have any profit in &#x27;27 at all, right, in terms of cash flow. They will just spend every dollar they make on on AI infrastructure.” — Latent Space</description>
      <pubDate>Thu, 26 Feb 2026 21:15:18 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel states OpenAI has over 500,000 GPUs for R&amp;D but GPT-5 pre-training uses under 100,000 GPUs.</title>
      <link>https://minutesof.com/q/68335aae-f02e-47ac-b961-50c4701d12af/</link>
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      <description>“OpenAI has over 500,000 GPUs working on r and d. Right? Let&#x27;s call it r and d.” — SAIL Media</description>
      <pubDate>Thu, 15 Jan 2026 16:46:15 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel says the standard inference deployment unit has shifted from single nodes to hundreds of GPUs.</title>
      <link>https://minutesof.com/q/ee180f12-a142-4bbb-8e53-e032a9458215/</link>
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      <description>“the standard unit for an inference deployment being hundreds of GPUs instead of a single node. And then there&#x27;s all these different things about traffic.” — Open Compute Project</description>
      <pubDate>Thu, 23 Oct 2025 06:01:19 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel notes NVIDIA Blackwell performance improved dramatically from launch to present, as did AMD hardware.</title>
      <link>https://minutesof.com/q/8a048f38-2c8d-4690-a1d2-66e094aaa6fb/</link>
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      <description>“If you tried to use NVIDIA&#x27;s Blackwell six months ago, the numbers were not amazing, right? But now they&#x27;re actually amazing. So how did that progress over time? Same with AMD, right?” — Open Compute Project</description>
      <pubDate>Thu, 23 Oct 2025 06:01:19 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel identifies GB200&#x27;s power efficiency advantage but notes deployment challenges with backplane and liquid</title>
      <link>https://minutesof.com/q/d7dccc2a-7013-4972-b5c9-372d97cae003/</link>
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      <description>“GB200 has a huge power efficiency advantage, right? Everyone here understands the challenges of running and deploying GB200. There&#x27;s a lot of challenges with the backplane.” — Open Compute Project</description>
      <pubDate>Thu, 23 Oct 2025 06:01:19 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel reports GB200 is 10x more power efficient than H200 at certain interactivity rates.</title>
      <link>https://minutesof.com/q/70c03321-ad13-4824-91b8-9ec2ebd3b7be/</link>
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      <description>“But it turns out at certain interactivity rates, I. E. Tokens per second per user, it&#x27;s 10x more efficient per watt, right, compared to H200.” — Open Compute Project</description>
      <pubDate>Thu, 23 Oct 2025 06:01:19 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel finds AMD MI355 beats NVIDIA B200 on performance TCO in certain publicly usable configurations.</title>
      <link>https://minutesof.com/q/b9346a92-e689-4ff1-a8aa-a519c318c01e/</link>
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      <description>“So we do different scenarios. We do document processing, which is 8,000 context in, 1,000 out. We do chat, which is 1,000 in, 1,000 out.” — Open Compute Project</description>
      <pubDate>Thu, 23 Oct 2025 06:01:19 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel shows B200 has 15x raw performance advantage over H100 but only 10x performance per TCO.</title>
      <link>https://minutesof.com/q/101225bc-685d-4ce2-a64b-7e2df33b1f98/</link>
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      <description>“If we don&#x27;t divide by TCO, then it looks like the performance of B200 is actually 15x that of H100, versus the performance TCO is only 10x,” — Open Compute Project</description>
      <pubDate>Thu, 23 Oct 2025 06:01:19 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel lists NVIDIA&#x27;s structural advantages across networking, HBM, process nodes, speed to market, and supplie</title>
      <link>https://minutesof.com/q/af9d9adc-9470-4ff6-aba9-8433597b2e9f/</link>
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      <description>“NVIDIA&#x27;s gonna have better networking than you. They&#x27;re gonna have better, HBM. They&#x27;re gonna have better process node. They&#x27;re gonna come to market faster.” — a16z</description>
      <pubDate>Mon, 18 Aug 2025 18:26:43 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel argues competing with NVIDIA requires leaping forward beyond supply chain advantages across networking,</title>
      <link>https://minutesof.com/q/1bef91d6-c75f-476c-a33f-1cec565d5243/</link>
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      <description>“They&#x27;re gonna have better negotiations with whether it&#x27;s TSMC or SK Hynix and the memory and silicon side or all the rack people or, like, copper cables, everything, they&#x27;re gonna have better cost efficiency.” — a16z</description>
      <pubDate>Mon, 18 Aug 2025 18:26:43 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel says OpenAI and Anthropic are receiving 30% of all GPU chips being produced this year.</title>
      <link>https://minutesof.com/q/c914f140-c01e-4389-9fe1-0e490d20dbdc/</link>
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      <description>“30% of the chips are going to them, just those two companies. But that&#x27;s actually like, okay, well, 70% of the stuff, who&#x27;s making off well, one third of it is ads, whether it be ByteDance or Meta or many of the other people who are doing ads.” — a16z</description>
      <pubDate>Mon, 18 Aug 2025 18:26:43 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel explains competitors need 5x hardware advantage over NVIDIA but risk failure if AI workloads shift befor</title>
      <link>https://minutesof.com/q/f8382350-ebd6-4af4-ac16-1dfdcd3fde66/</link>
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      <description>“So now you need to do something, you know, that will give you five x advantage, right, in hardware efficiency for a certain type of workload, and then pray the workload doesn&#x27;t shift.” — a16z</description>
      <pubDate>Mon, 18 Aug 2025 18:26:43 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel says GPU hardware and networking represent 80% of data center costs, with power and cooling only 20%.</title>
      <link>https://minutesof.com/q/3a4b0c19-d93c-478e-bced-c99f4ea7645a/</link>
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      <description>“It&#x27;s the GPU purchases. It&#x27;s the networking. It&#x27;s the it&#x27;s the physical data center conversion power conversion equipment. All of this stuff is, like, 80% of the cost.” — a16z</description>
      <pubDate>Mon, 18 Aug 2025 18:26:43 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel notes CoreWeave got H100 services online six months before every hyperscaler in many cases.</title>
      <link>https://minutesof.com/q/c2e290f0-d29d-46af-b1bb-46bc871b30f2/</link>
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      <description>“Get services online with h one hundreds before every hyperscaler by a factor of, like, as much as, like, six months in many cases.” — CoreWeave</description>
      <pubDate>Fri, 23 May 2025 17:27:49 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel says CoreWeave can build $10 billion clusters from start to completion much faster than competitors.</title>
      <link>https://minutesof.com/q/373f08c1-885e-4cb0-8a0c-139ecb2143a4/</link>
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      <description>“it lets you get to these, you know, call it $10,000,000,000 clusters, right, in in time scales, from project start to completion that are much much shorter than anyone else.” — CoreWeave</description>
      <pubDate>Fri, 23 May 2025 17:27:49 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel says GPT-4 used 24,000 GPUs, GPT-5 uses 100,000, and Microsoft is building toward a million GPUs.</title>
      <link>https://minutesof.com/q/49107836-7a8a-4175-851d-c6bc483f45a1/</link>
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      <description>“GPT four was trained with 24,000 GPUs roughly, and GPT five is on the order of a 100,000. And then they&#x27;re trying to build this data center over the next few years. That&#x27;s a million.” — Scaling Intelligence</description>
      <pubDate>Tue, 12 Nov 2024 04:17:00 +0000</pubDate>
      <category>gpu supply chain</category>
    </item>
    <item>
      <title>Patel reveals OpenAI signed a deal with Oracle for 200 megawatts because Microsoft cannot provide enough compu</title>
      <link>https://minutesof.com/q/77bb9fd8-374c-4dd6-9378-89d774c7068b/</link>
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      <description>“Again, a gigawatt is like 500,000 plus GPUs. That&#x27;s billions, tens of billions of dollars. So OpenAI signed a deal for just 200 megawatts.” — Scaling Intelligence</description>
      <pubDate>Tue, 12 Nov 2024 04:17:00 +0000</pubDate>
      <category>gpu supply chain</category>
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