During the inference computing phase, trained AI models apply learned patterns to new data, making real-time predictions or decisions. This stage powers applications like voice assistants, fraud detection, and medical imaging. Businesses and developers benefit from optimized hardware and software, enabling faster, lower-cost deployment of intelligent systems to end users without requiring retraining.
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