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docs/reference-manual/native-image/OptimizationsAndPerformance.md

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> Note: Not available in GraalVM Community Edition.
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Find more information on this topic in [Basic Usage of Profile-Guided Optimization](../PGO-Basic-Usage.md).
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Find more information on this topic in [Basic Usage of Profile-Guided Optimization](PGO-Basic-Usage.md).
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### ML-Powered Profile Inference for Enhanced Performance
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Native Image supports machine learning-driven static profiling, as a built-in capability.
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By default, GraalVM runs at the `-O2` optimization level, which uses the simple and fast **Graal Static Profiler (GraalSP)** for profile inference.
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This model is optimized for a wide range of applications.
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As of GraalVM for JDK 24, the new **Graal Neural Network (GraalNN)** static profiler can be used for ML-powered profile inference, offering even better performance.
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Enable it by passing the `-O3` option to Native Image.
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Enable it by passing the `-O3` option to Native Image.
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> Note: Not available in GraalVM Community Edition.
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