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The Shift from Training to Inference in AI
This chapter explores the changing dynamics between training and inference in AI computing, emphasizing a future where inference becomes predominant. It analyzes the competition between chip makers like NVIDIA and AMD, the impact of software abstraction, and the challenges of switching providers. Additionally, it discusses the economic implications of different chip architectures and the strategic importance of compute resources in sustaining competitive advantages.