Today's leading generative AI applications have workloads that span high performance GPU compute, CPU preprocessing, data-loading, and orchestration — often spread across a combination of Python, C++/Rust, and CUDA C++ — which increases the complexity and slows down the cycle of innovation. This talk explores the capabilities and power of the Modular Mojo programming language and Modular Accelerated Xecution (MAX) platform, which unifies CPU and GPU programming into a single Pythonic programming model that is simple and extensible. This results in reduced complexity and improved developer productivity, and streamlines innovation. We'll walk through CPU and GPU support with real-world examples, providing details of how AI application developers can use MAX and Mojo to define an end-to-end AI pipeline and overcome the complexities.

Recorded live in San Francisco at the AI Engineer World's Fair. See the full schedule of talks at https://www.ai.engineer/worldsfair/2024/schedule & join us at the AI Engineer World's Fair in 2025! Get your tickets today at https://ai.engineer/2025

About Chris Chris Lattner is a co-founder and the CEO of Modular, which is building an innovative new developer platform for AI and accelerated compute. Modular provides an AI engine that accelerates PyTorch and TensorFlow inference, as well as the Mojo🔥 language, which extends Python into systems and accelerator programming domains. He has also co-founded the LLVM Compiler infrastructure project, the Clang C++ compiler, the Swift programming language, the MLIR compiler infrastructure, the CIRCT project, and has contributed to many other commercial and open source projects at Apple, Tesla, Google and SiFive.