machine learning inference engines

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Machine learning inference engines execute and optimize trained models for low-latency predictions across specialized hardware environments like Apple Silicon, CPUs, and GPUs. They are built for software developers and MLOps engineers who need fast, resource-efficient model deployment locally, in browsers, or in production clusters. Unlike model training frameworks or end-user AI applications, these runtimes focus strictly on execution speed, hardware acceleration, and minimal runtime overhead.

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