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Explore how to overcome the complexity of modern generative AI development that spans GPU compute, CPU preprocessing, and data orchestration across multiple programming languages in this 19-minute conference talk. Learn about the Modular Mojo programming language and Modular Accelerated Xecution (MAX) platform, which unifies CPU and GPU programming into a single Pythonic programming model designed to reduce complexity and improve developer productivity. Discover how MAX and Mojo can streamline AI application development by eliminating the need to work across Python, C++/Rust, and CUDA C++ simultaneously. Walk through real-world examples demonstrating CPU and GPU support, and understand how to define end-to-end AI pipelines while overcoming traditional development complexities. Gain insights from Chris Lattner, co-founder and CEO of Modular, who brings extensive experience from co-founding LLVM, Clang C++ compiler, Swift programming language, MLIR compiler infrastructure, and CIRCT project, with previous contributions at Apple, Tesla, Google, and SiFive.
