6 min read DPS

Daily Productive Sharing 430 - How Does Nvidia Succeed?

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(下附中文版)

#Misc

Nvidia is one of the brightest tech companies in recent years, not only providing a lot of computing power for digital currencies, but also greatly contributing to the development of deep learning. As it happens, there have been two recent podcasts on Nvidia, one by Acquired on the history of Nvidia: [Nvidia: The GPU Company (1993-2006)](https://www.acquired.fm/episodes/nvidia-the- gpu-company-1993-2006) and an interview with Nvidia CEO Jensen Huang produced by This Daily Update Interview:An Interview with Nvidia CEO Jensen Huang about Manufacturing Intelligence. This Daily Update Interview has also put up a full transcript of the interview, which is well worth reading:

  1. It’s interesting because this is the first time we’ve talked, but there’s an aspect of being a long time observer of Nvidia where it almost makes me feel like I have a handle on who Jensen Huang is, and that’s because as far as I can tell, Nvidia is basically Jensen at scale.
  2. It has nothing to do with general intelligence, intelligence is just solving problems.
  3. So, we made the choice to go to all 32 bits so that whatever numerical computation is done is compatible with processors. That was a genius move, and because we saw the opportunity to use our GPUs for general purpose computing.
  4. One of the rules of our company is to not squander the resources of our company to do something that already exists.

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Nvidia 是近年来非常亮眼的科技公司，除了为数字货币提供大量算力之外，也大大助推了深度学习的发展。正巧最近有两期关于 Nvidia 的 podcast，一期是由 Acquired 制作的 Nvidia 发家史：Nvidia: The GPU Company (1993-2006)，一期是由 This Daily Update Interview 制作的 Nvidia CEO 黄仁勋的访谈：An Interview with Nvidia CEO Jensen Huang about Manufacturing Intelligence。This Daily Update Interview 也放出了完整的采访记录，非常值得细读：

  1. It’s interesting because this is the first time we’ve talked, but there’s an aspect of being a long time observer of Nvidia where it almost makes me feel like I have a handle on who Jensen Huang is, and that’s because as far as I can tell, Nvidia is basically Jensen at scale.
  2. It has nothing to do with general intelligence, intelligence is just solving problems.
  3. So, we made the choice to go to all 32 bits so that whatever numerical computation is done is compatible with processors. That was a genius move, and because we saw the opportunity to use our GPUs for general purpose computing.
  4. One of the rules of our company is to not squander the resources of our company to do something that already exists.

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