GPU Acceleration
Ray Data Adds GPU-Native Operators With NVIDIA cuDF Integration
Anyscale's Ray Data now supports NVIDIA cuDF and RapidsMPF, delivering up to 3x better TCO for GPU-accelerated AI data processing workloads.
NVIDIA GB300 NVL72 Enhances AI with Ray Placement Groups
NVIDIA GB300 NVL72 leverages Ray's NVLink Domain-Aware Placement Groups for optimized multi-node GPU scheduling, boosting AI performance.
NVIDIA GPUs Slash Presto Query Latency by 8x on GB200 NVL72
NVIDIA GPUs accelerate Presto SQL queries by up to 8x, leveraging GB200 NVL72 for high-throughput analytics. IBM Storage Scale integration boosts I/O performance.
NVIDIA Isaac Lab Hits 150K FPS for Robot Training at Scale
NVIDIA's Isaac Lab framework achieves 135,000+ FPS for humanoid training, attracting Agility Robotics and Skild AI as enterprise adopters.
NVIDIA's Project Aether Enhances Apache Spark Workloads on Amazon EMR with GPUs
NVIDIA introduces Project Aether, facilitating the migration of Apache Spark workloads to GPU-accelerated Amazon EMR, enhancing performance and reducing operational costs.
NVIDIA Revolutionizes Enterprise Data with GPU-Accelerated AI Storage
NVIDIA introduces GPU-accelerated AI data platforms to transform unstructured data into AI-ready formats, addressing key enterprise challenges in data management and security.
Enhancing XGBoost Model Training with GPU-Acceleration Using Polars DataFrames
Discover how GPU-accelerated Polars DataFrames enhance XGBoost model training efficiency, leveraging new features like category re-coding for optimal machine learning workflows.
NVIDIA's cuVS Boosts Faiss Vector Search Efficiency with GPU Acceleration
NVIDIA's cuVS integration with Faiss enhances GPU-accelerated vector search, offering faster index builds and lower search latency, crucial for managing large datasets.
Boosting Model Training with CUDA-X: An In-Depth Look at GPU Acceleration
Explore how CUDA-X Data Science accelerates model training using GPU-optimized libraries, enhancing performance and efficiency in manufacturing data science.
Kaggle Grandmasters Reveal Key Techniques for Tabular Data Mastery
Explore the Kaggle Grandmasters' strategies for mastering tabular data, including GPU acceleration techniques, diverse baselines, and feature engineering. Discover how these methods can enhance real-world data modeling.