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View BlogA machine learning compiler is a specialized compiler that transforms high-level ML models into optimized code that can efficiently run on various hardware platforms. It bridges the gap between ML frameworks and hardware backends, enabling models to run faster and use less memory across different devices from cloud servers to edge devices.
The MLC community works with the broader ML system ecosystem to enable accessible deployment of ML models across cloud and edge. We aim to democratize ML deployment by providing open-source tools, frameworks, and best practices that make it easier for developers and researchers to deploy models efficiently on diverse hardware platforms.
Low-latency serving via speculative inference and token tree verification.
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