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Infrastructure Scaling and Compound AI Systems with Jared Quincy Davis - #740

2025-07-22 · 73 min · episode 740 · 16 entities

episode page audio

Asserted relationships

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    Infrastructure Scaling and Compound AI Systems with Jared Quincy Davis - #740
  • → hosted by Sam Charrington person
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    Feed author/publisher: Sam Charrington
  • → works at Foundry company
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    CEO at Foundry
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    CEO at Foundry
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  • → hosted by TWIML company
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    Feed author/publisher: TWIML

Entities found in this episode

companys 7

  • mentioned TWIML company
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    Feed author/publisher: TWIML
  • mentioned Foundry company
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    CEO at Foundry
  • mentioned Technology company
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    Feed category: Technology
  • works at Foundry company
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    evidence rules-v4
    CEO at Foundry
  • works at Foundry company
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    evidence rules-v4
    CEO at Foundry
  • discusses Technology company
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    evidence rules-v4
    Feed category: Technology
  • hosted by TWIML company
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    evidence rules-v4
    Feed author/publisher: TWIML

concepts 5

  • mentioned Science concept
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    Feed category: Science
  • mentioned Tech News concept
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    Feed category: Tech News
  • discusses Science concept
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    evidence rules-v4
    Feed category: Science
  • discusses News concept
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    evidence rules-v4
    Feed category: News
  • discusses Tech News concept
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    evidence rules-v4
    Feed category: Tech News

persons 3

  • mentioned Jared Quincy Da person
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    Infrastructure Scaling and Compound AI Systems with Jared Quincy Davis - #740
  • mentioned Sam Charrington person
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    evidence rules-v4
    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
    0.55
    evidence rules-v4
    Feed author/publisher: Sam Charrington

podcasts 1

Episode description as stored
In this episode, Jared Quincy Davis, founder and CEO at Foundry, introduces the concept of "compound AI systems," which allows users to create powerful, efficient applications by composing multiple, often diverse, AI models and services. We discuss how these "networks of networks" can push the Pareto frontier, delivering results that are simultaneously faster, more accurate, and even cheaper than single-model approaches. Using examples like "laconic decoding," Jared explains the practical techniques for building these systems and the underlying principles of inference-time scaling. The conversation also delves into the critical role of co-design, where the evolution of AI algorithms and the underlying cloud infrastructure are deeply intertwined, shaping the future of agentic AI and the compute landscape. The complete show notes for this episode can be found at https://twimlai.com/go/740.