Elixir, LiveBook, and NX: Innovations in Machine Learning Training and GPU Integration - EMx 246
Elixir Mix
Overview of GPU Integration and Serving Processes in Machine Learning
This chapter delves into the process of serving machine learning models, emphasizing the need for pre-processing data, running it through neural networks, and handling outputs efficiently. The discussion explores the parallelizability of models using GPUs, challenges in utilizing GPUs on Macs, and advancements in integrating GPUs with neural network cores. It also covers the integration of NX within frameworks like TorchX and Elixir for optimizing performance based on target platforms.
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