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RAPIDS Introduces GPU Polars Streaming and Unified GNN API Enhancements

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 Unveils Data Flywheel Blueprint to Optimize AI Agents

NVIDIA Unveils Data Flywheel Blueprint to Optimize AI Agents

NVIDIA introduces the Data Flywheel Blueprint, a workflow aimed at enhancing AI agents by reducing costs and improving efficiency using automated experimentation and self-improving loops.

NVIDIA NeMo-RL Utilizes GRPO for Advanced Reinforcement Learning

NVIDIA NeMo-RL Utilizes GRPO for Advanced Reinforcement Learning

NVIDIA introduces NeMo-RL, an open-source library for reinforcement learning, enabling scalable training with GRPO and integration with Hugging Face models.

NVIDIA's CUTLASS 4.0: Advancing GPU Performance with New Python Interface

NVIDIA's CUTLASS 4.0: Advancing GPU Performance with New Python Interface

NVIDIA unveils CUTLASS 4.0, introducing a Python interface to enhance GPU performance for deep learning and high-performance computing, utilizing CUDA Tensors and Spatial Microkernels.

Enhancing ML Models in Semiconductor Manufacturing with NVIDIA CUDA-X

Enhancing ML Models in Semiconductor Manufacturing with NVIDIA CUDA-X

NVIDIA's CUDA-X Data Science libraries optimize feature engineering in semiconductor manufacturing, enhancing ML model performance and reducing ETL processing time by up to 40%.

OpenAI and NVIDIA Collaborate to Enhance AI with New Open Models

OpenAI and NVIDIA Collaborate to Enhance AI with New Open Models

OpenAI and NVIDIA have launched new AI models optimized for NVIDIA's infrastructure, promising advancements in AI development and application across various industries.

Dynamo 0.4 Enhances AI Model Deployment with Faster Performance and Advanced Autoscaling

Dynamo 0.4 Enhances AI Model Deployment with Faster Performance and Advanced Autoscaling

Dynamo 0.4 introduces significant advancements in AI model deployment, offering 4x faster performance, SLO-based autoscaling, and real-time observability, enhancing efficiency and scalability.

NVIDIA's Grace Hopper Superchip Revolutionizes XGBoost 3.0 for Terabyte-Scale Datasets

NVIDIA's Grace Hopper Superchip Revolutionizes XGBoost 3.0 for Terabyte-Scale Datasets

NVIDIA's latest Grace Hopper Superchip enhances XGBoost 3.0, enabling efficient processing of terabyte-scale datasets with improved speed and cost-effectiveness.

NVIDIA's ProRL v2 Advances LLM Reinforcement Learning with Extended Training

NVIDIA's ProRL v2 Advances LLM Reinforcement Learning with Extended Training

NVIDIA unveils ProRL v2, a significant leap in reinforcement learning for large language models (LLMs), enhancing performance through extended training and innovative algorithms.

NVIDIA Unveils Nemotron Nano 2 9B for Enhanced Edge AI Performance

NVIDIA Unveils Nemotron Nano 2 9B for Enhanced Edge AI Performance

NVIDIA's new Nemotron Nano 2 9B model offers superior accuracy and efficiency for edge AI applications, featuring a hybrid architecture and configurable thinking budget.

AI and NVIDIA GPUs Enhance Weather Forecasting Through Humidity Mapping

AI and NVIDIA GPUs Enhance Weather Forecasting Through Humidity Mapping

Researchers at Wrocław University utilize AI and NVIDIA GPUs to improve weather forecasts by creating detailed 3D humidity maps, reducing errors significantly.

Together AI Enhances Fine-Tuning Platform with Larger Models and Hugging Face Integration

Together AI Enhances Fine-Tuning Platform with Larger Models and Hugging Face Integration

Together AI unveils major upgrades to its Fine-Tuning Platform, including support for 100B+ parameter models, extended context lengths, and improved integration with Hugging Face Hub.

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