NVIDIA outlines AI-agent workflow for rewriting Spark UDFs for GPUs
NVIDIA says AI agents can help rewrite Apache Spark UDFs for GPU acceleration, with reported 22x speedups in a 600-billion-row workload.
NVIDIA and Princeton Introduce ReplaySSM to Accelerate Hybrid AI Model Decoding
ReplaySSM addresses state-space model bottlenecks by caching inputs instead of state, delivering up to 1.8× faster decoding and 2.1× speculative serving throughput on production models.
NVIDIA Isaac ROS 5.0 Launches With AI Agent Support
NVIDIA Isaac ROS 5.0 introduces AI agentic workflows and GPU acceleration for robotics development, aligning with the next-gen ROS 2 Lyrical platform.
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.