"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

TinyGPU, Massive Learning, with Adam Majmudar

May 6, 2024
Guest
Adam Majmudar
In this engaging discussion, Adam Majmudar, the creator of the TinyGPU project, shares his remarkable journey of building a GPU from scratch. Despite starting with no prior experience, Adam highlights how collaborative open-source efforts and modern AI tools accelerated his learning. He delves into the complexities of GPU design, the democratization of hardware development, and the significance of memory management. Listeners will appreciate the innovative approach towards GPU architecture and the future of chip technology in AI applications.
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ANECDOTE

TinyGPU Project

  • Adam Majmudar, having no GPU design experience, speed-ran building TinyGPU in a few weeks.
  • This project deepened his understanding of chip engineering and AI's role in learning.
INSIGHT

Learning Resources and Tools

  • GPU learning resources are scarce compared to CPUs due to proprietary technology.
  • Open-source projects like OpenRoad enable access to EDA tools, crucial for chip design.
ADVICE

Open-Source vs. Production Tools

  • The open-source chip design tools are good for prototyping and hobbyists.
  • For production, using established industry tools is still necessary.
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