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The article focuses on Deepgram's architectural approach to deploying scalable, always-on voice AI systems, which is central to the discussion of machine learning infrastructure and deployment strategies. It details how the company manages the computational demands of processing vast amounts of audio data for real-time applications without relying on traditional cloud dependencies. This content directly addresses technical considerations relevant to developers and engineers building large-scale AI solutions.