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NVIDIA RAPIDS 25.08 Enhances Data Science with New Profiling Tools and Algorithm Support
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NVIDIA RAPIDS 25.08 Enhances Data Science with New Profiling Tools and Algorithm Support

NVIDIA's RAPIDS 25.08 release introduces new profiling tools for cuML, updates to the Polars GPU engine, and additional algorithm support, enhancing data science accessibility and scalability.

RAPIDS Introduces GPU Polars Streaming and Unified GNN API Enhancements
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RAPIDS Introduces GPU Polars Streaming and Unified GNN API Enhancements

NVIDIA's RAPIDS suite version 25.06 unveils new features including GPU Polars streaming, a unified GNN API, and zero-code ML speedups, enhancing Python data science capabilities.

NVIDIA RAPIDS Enhances Machine Learning with Zero-Code Acceleration and Performance Gains
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NVIDIA RAPIDS Enhances Machine Learning with Zero-Code Acceleration and Performance Gains

NVIDIA's RAPIDS introduces zero-code acceleration for machine learning, boosts IO performance, and supports out-of-core XGBoost training, streamlining data science workflows.

NVIDIA's RAPIDS cuDF Enhances pandas Through Unified Virtual Memory
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NVIDIA's RAPIDS cuDF Enhances pandas Through Unified Virtual Memory

NVIDIA's RAPIDS cuDF utilizes Unified Virtual Memory to boost pandas' performance by 50x, offering seamless integration with existing workflows and GPU acceleration.

Optimizing Multi-GPU Data Analysis with RAPIDS and Dask
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Optimizing Multi-GPU Data Analysis with RAPIDS and Dask

Explore best practices for leveraging RAPIDS and Dask in multi-GPU data analysis, addressing memory management, computing efficiency, and accelerated networking.

NVIDIA RAPIDS 24.10 Enhances NetworkX and Polars with GPU Acceleration
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NVIDIA RAPIDS 24.10 Enhances NetworkX and Polars with GPU Acceleration

NVIDIA RAPIDS 24.10 introduces GPU-accelerated NetworkX and Polars with zero code changes, enhancing compatibility with Python 3.12 and NumPy 2.x for improved data processing.

NVIDIA's RAPIDS cuDF Enhances pandas Performance by 30x on Large Datasets
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NVIDIA's RAPIDS cuDF Enhances pandas Performance by 30x on Large Datasets

NVIDIA releases RAPIDS cuDF unified memory, boosting pandas performance up to 30x on large and text-heavy datasets.

NVIDIA Delves into RAPIDS cuVS IVF-PQ for Accelerated Vector Search
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NVIDIA Delves into RAPIDS cuVS IVF-PQ for Accelerated Vector Search

NVIDIA explores the RAPIDS cuVS IVF-PQ algorithm, enhancing vector search performance through compression and GPU acceleration.

Optimizing Parquet String Data Compression with RAPIDS
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Optimizing Parquet String Data Compression with RAPIDS

Discover how to optimize encoding and compression for Parquet string data using RAPIDS, leading to significant performance improvements.

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