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NVIDIA's Journey and Success in Deep Learning
This chapter explores the history of NVIDIA, their bets on programmability and new hardware, and their partnership with researchers that contributed to their success in the deep learning field.
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Today’s show:
Modular CEO Chris Lattner joins Jason to discuss the process of building LLMs (8:14), what caused Nvidia to be entrenched in machine learning today (35:37), the AI wrapper debate (41:44), and much more!
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Time stamps:
(0:00) Modular CEO Chris Lattner joins Jason
(2:24) Where hardware and optimization stand today
(8:14) What goes into deploying and distributing an AI model into a product
(10:32) Roots - Head to https://investwithroots.com/TWIST to sign up and start investing today!
(12:02) Why companies make their own machine-learning software
(14:32) Nvidia’s outlook on what Modular is building
(18:46) Chris’s time at Apple
(20:05) Strategies for reducing complexity
(22:53) Awareness of underlying complexities in the technology stack
(25:14) Supergut - Get 30% off with code TWIST at https://supergut.com
(26:46) What it will look like in five to ten years; Increase consumption by creating new categories
(31:29) The open-source community; RISC-V and Arm
(34:15) LinkedIn Marketing - Get a $100 LinkedIn ad credit at https://linkedin.com/thisweekinstartups
(35:37) How Nvidia secured its position
(38:21) The AlexNet moment
(41:44) The AI wrapper debate
(44:32) OpenAI moving from non-profit to profit and open to closed-system
(46:32) The lack of programmers and the ability to do more with less
(52:09) Modular Mojo and other developments
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Check out Modular: https://www.modular.com/
FOLLOW Chris: https://twitter.com/clattner_llvm
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Twitter: https://twitter.com/jason
Instagram: https://www.instagram.com/jason
LinkedIn: https://www.linkedin.com/in/jasoncalacanis
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