Discover h​ow Adam Majmudar embarked on an exceptional journey to create the TinyGPU from scratch, with no experience in GPU design. This insightful podcast follows Adam's process from learning to implementation, highlighting the progressive contributions of countless engineers and the accelerating role of AI in the learning journey. Experience the unfolding of GPU architecture and gain a deeper appreciation for the technology driving today's AI advancements.

RECOMMENDED PODCAST: The AI Daily Brief If you’re looking for an edge to stay up to date on everything AI, subscribe to Nathaniel Whittemore's AI Daily Brief which delivers tight episodes covering all things AI from legislation to new technologies to the philosophical debates around generalized intelligence. 

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The Brave search API can be used to assemble a data set to train your AI models and help with retrieval augmentation at the time of inference. All while remaining affordable with developer first pricing, integrating the Brave search API into your workflow translates to more ethical data sourcing and more human representative data sets. Try the Brave search API for free for up to 2000 queries per month at https://bit.ly/BraveTCR

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CHAPTERS:(00:00:00) Introduction(00:04:34) Intro(00:07:42) Learning Resources(00:12:11) What is the process of getting your chip back?(00:14:38) What is the scope of the project?(00:17:18) Sponsors: Oracle | Brave(00:19:25) Prioritization(00:23:19) Memory management(00:33:19) What instructions to include?(00:38:03) Sponsors: Squad | Omneky(00:40:42) Registers(00:48:29) Memory Limitations(00:57:51) Compute Pattern(01:01:14) Dispatcher(01:07:50) How does it get translated into hardware?(01:21:07) Compute Core Execution(01:24:57) The Fetcher(01:27:07) Memory controllers(01:37:49) Simulating the design(01:41:09) What did you learn?(01:50:36) Conclusion