A special one-off episode with a deep dive into the past, present, and future of how computer hardware makes AI possible.
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In this episode:
- Google and Mistral sign deals with AP and AFP, respectively, to deliver up-to-date news through their AI platforms.
- ChatGPT introduces a tasks feature for reminders and to-dos, positioning itself more as a personal assistant.
- Synthesia raises $180 million to enhance its AI video platform for generating videos of human avatars.
- New U.S. guidelines restrict exporting AI chips to various countries, impacting Nvidia and other tech firms.
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Timestamps:
- 00:00:00 Introduction
- 00:03:08 Historical Recap: Early AI and Hardware
- 00:11:51 The Rise of GPUs and Deep Learning
- 00:15:39 Scaling Laws and the Evolution of AI Models
- 00:24:05 The Bitter Lesson and the Future of AI Compute
- 00:25:58 Moore's Law and Huang's Law
- 00:30:12 Memory and Logic in AI Hardware
- 00:34:53 Challenges in AI Hardware: The Memory Wall
- 00:37:08 The Role of GPUs in Modern AI
- 00:42:27 Fitting Neural Nets in GPUs
- 00:48:04 Batch Sizes and GPU Utilization
- 00:52:47 Parallelism in AI Models
- 00:55:53 Matrix Multiplications and GPUs
- 00:59:57 Understanding B200 and GB200
- 01:05:41 Data Center Hierarchy
- 01:13:42 High Bandwidth Memory (HBM)
- 01:16:45 Fabrication and Packaging
- 01:20:17 The Complexity of Semiconductor Fabrication
- 01:24:34 Understanding Process Nodes
- 01:28:26 The Art of Fabrication
- 01:33:17 The Role of Yield in Fabrication
- 01:35:47 The Photolithography Process
- 01:40:38 Deep Ultraviolet Lithography (DUV)
- 01:43:58 Extreme Ultraviolet Lithography (EUV)
- 01:51:46 Export Controls and Their Impact
- 01:54:22 The Rise of Custom AI Hardware
- 02:00:10 The Future of AI and Hardware
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