Rapids Machine Learning Training y Feature Engineering en tu GPU con CuML y CuDF
Acelera el entrenamiento de modelos y la ingeniería de características utilizando GPU con CuML y CuDF para optimizar tus flujos de trabajo de aprendizaje automático.
Advancing GPU Analytics with RAPIDS Accelerator for Apache Spark and Alluxio
Learn to accelerate GPU analytics using RAPIDS for Apache Spark and Alluxio, enabling faster data access and processing for AI and analytics workloads across any cloud environment.
Accelerating Apache Spark with GPUs Using RAPIDS
Explore GPU acceleration for data science with RAPIDS, offering significant performance gains over CPU-only solutions. Learn its functionality, architecture, and integration with Apache Spark for large-scale computation.
Reaching Lightspeed Data Science - ETL, ML, and Graph with NVIDIA RAPIDS
Accelerate data science workflows using GPUs and RAPIDS. Learn performance gains, easy migration, and new possibilities in ETL, ML, and graph analytics.
Meet MySQL RAPID - Distributed, In-Memory, Columnar, Query Processing Engine by ORACLE
Explore MySQL RAPID: Oracle's distributed, in-memory columnar engine for OLAP & OLTP workloads. Learn its architecture, data loading, and how it revolutionizes data warehousing and ETL processes.
RAPIDS - The Platform Inside and Outside - Joshua Patterson - ODSC East 2019
Accelerating data science with GPUs using RAPIDS: open-source libraries for GPU-powered data manipulation, machine learning, and graph analytics, scaling across multiple GPUs and integrating with existing Python ecosystems.
GPU-Accelerated Data Analytics in Python
Explore GPU-accelerated data analytics using RAPIDS libraries in Python. Learn ETL, machine learning, graph analytics, and more with familiar APIs for faster computation and model iteration.
Distributed Multi-GPU Computing with Dask, CuPy and RAPIDS
Explore distributed multi-GPU computing using Dask, CuPy, and RAPIDS. Learn to leverage GPU acceleration and distributed systems for faster, more efficient data processing and analysis.
Rapids Machine Learning Training and Feature Engineering in GPU with CuML and CuDF
Accelerate ML training and feature engineering using GPU-powered CuML and CuDF libraries for enhanced performance and efficiency.