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NVIDIA's cuML Enhances Tree-Based Model Inference with Forest Inference Library
NVIDIA's cuML 25.04 introduces enhancements to the Forest Inference Library, boosting tree-based model inference performance with new features and optimizations.
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Kaggle Competition Winner Reveals Stacking Strategy with cuML
Kaggle Grandmaster Chris Deotte shares insights on winning the April 2025 Kaggle competition using stacking with cuML, leveraging GPU acceleration for fast and efficient modeling.
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Enhanced UMAP Performance on GPUs with RAPIDS cuML
RAPIDS cuML introduces a faster, scalable UMAP implementation using GPU acceleration, addressing challenges in large dataset processing with new algorithms for improved performance.