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Microsoft has access to OpenAI's full IP – Satya Nadella

[HPP] Dwarkesh PatelNovember 15, 20253 min
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Microsoft's Approach to AI Silicon

  • 💡 Microsoft's internal chip production is lower than Google and Amazon, who are making millions of their own TPUs.
  • 🎯 The biggest competitor for new accelerators, including Microsoft's own, is the previous generation of Nvidia chips, with Total Cost of Ownership (TCO) being a critical evaluation factor.
  • 🧠 Microsoft has a history of building its own silicon for core compute (Intel, AMD, Cobalt) and managing a diverse fleet of processors.

The Role of Nvidia and Custom Chips

  • 🚀 Nvidia's innovation and general-purpose nature mean all models run on their chips, leading even Google and Amazon to purchase them.
  • ✅ Developing custom vertical silicon requires having proprietary models to generate or subsidize demand for its use.
  • 🛠️ Microsoft's strategy for its own silicon involves a closed loop between its AI models and silicon design, ensuring the microarchitecture is tailored to its specific models.

Microsoft's Deep Integration with OpenAI

  • 🔑 Microsoft has full access to OpenAI's intellectual property (IP), indicating a deep partnership beyond just using their models.
  • 🤝 This partnership included Microsoft providing significant IP and building supercomputers to help bootstrap OpenAI.
  • 📈 Microsoft plans to first instantiate what OpenAI builds and then extend these innovations, leveraging their shared IP rights.

Strategic Vision for AI Infrastructure

  • ⚡ Microsoft aims to be a "speed of light execution partner" for Nvidia, emphasizing efficiency and TCO in managing its vast fleet.
  • 💡 The company holds IP rights across both the OpenAI and Microsoft AI (MAI) lineages, positioning them uniquely in the AI ecosystem.
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What’s Discussed

MicrosoftOpenAIIntellectual Property (IP)AI AcceleratorsNvidiaCustom SiliconTotal Cost of Ownership (TCO)AI ModelsSupercomputersMicroarchitectureDatacentersAGI
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