• Episode 111: Talking Chips and Wafers with Chips and Wafers

  • 2025/03/31
  • 再生時間： 55 分
  • ポッドキャスト

Episode 111: Talking Chips and Wafers with Chips and Wafers

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  • In this episode, Ben Bajarin and Jay Goldberg engage with Simi Sherman and Chaim Eisenberg from Chips and Wafers to explore the intricacies of the semiconductor industry. They discuss the importance of both qualitative and quantitative analysis in understanding market trends, the challenges of data collection, and the unique insights their company provides. The conversation delves into the competitive landscape of ASICs versus GPUs, the significance of tracking various data points, and how this information can be leveraged for predictive analysis in investments. In this conversation, Simi Sherman and Ben Bajarin delve into the intricacies of investment data, emphasizing the importance of using the right data points for informed decision-making. They discuss specific company examples, the predictive power of data, and the evolving landscape of the semiconductor industry, particularly the shift towards disaggregated designs and chiplets. The conversation highlights the gap between investor expectations and company performance, and concludes with insights into how analysts can leverage data to build a clearer picture of future trends.
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あらすじ・解説

In this episode, Ben Bajarin and Jay Goldberg engage with Simi Sherman and Chaim Eisenberg from Chips and Wafers to explore the intricacies of the semiconductor industry. They discuss the importance of both qualitative and quantitative analysis in understanding market trends, the challenges of data collection, and the unique insights their company provides. The conversation delves into the competitive landscape of ASICs versus GPUs, the significance of tracking various data points, and how this information can be leveraged for predictive analysis in investments. In this conversation, Simi Sherman and Ben Bajarin delve into the intricacies of investment data, emphasizing the importance of using the right data points for informed decision-making. They discuss specific company examples, the predictive power of data, and the evolving landscape of the semiconductor industry, particularly the shift towards disaggregated designs and chiplets. The conversation highlights the gap between investor expectations and company performance, and concludes with insights into how analysts can leverage data to build a clearer picture of future trends.
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