NVIDIA
UK's Isambard-AI Supercomputer Goes Live, Setting New Standards
The University of Bristol unveils Isambard-AI, the UK's most powerful AI supercomputer, delivering 21 exaflops of performance and ranking among the top in energy efficiency globally.
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.
NVIDIA Introduces Safety Measures for Agentic AI Systems
NVIDIA has launched a comprehensive safety recipe to enhance the security and compliance of agentic AI systems, addressing risks such as prompt injection and data leakage.
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%.
NVIDIA Isaac Advances AI Robotics in Healthcare Amid Worker Shortage
NVIDIA Isaac for Healthcare is revolutionizing AI-powered robotics to address the global healthcare worker shortage, enhancing medical procedures and patient care through advanced simulation and AI integration.
NVIDIA's CUTLASS 3.x Enhances GEMM Kernel Design with Modular Abstractions
NVIDIA's CUTLASS 3.x introduces a modular, hierarchical system for GEMM kernel design, improving code readability and extending support to newer architectures like Hopper and Blackwell.
NVIDIA Advances Robotics with New AI Training Models
NVIDIA's latest research introduces innovative AI models and workflows to enhance robot training, enabling efficient learning and adaptability across diverse environments.
NVIDIA Run:ai Enhances AI Model Orchestration on AWS
NVIDIA Run:ai on AWS Marketplace offers a streamlined approach to GPU infrastructure management for AI workloads, integrating with key AWS services to optimize performance.
NVIDIA Dynamo Expands AWS Support for Enhanced AI Inference Efficiency
NVIDIA Dynamo now supports AWS services, offering developers enhanced efficiency for large-scale AI inference. The integration promises performance improvements and cost savings.
NVIDIA Extends Deadline for Project G-Assist Plug-In Hackathon
NVIDIA extends the deadline for its Project G-Assist Plug-In Hackathon, offering participants a chance to win top-tier GeForce RTX hardware and more.
NVIDIA Riva TTS Enhances Multilingual Speech and Voice Cloning
NVIDIA introduces Riva TTS models enhancing multilingual speech synthesis and voice cloning, with applications in AI agents, digital humans, and more, featuring advanced architecture and preference alignment.
NVIDIA CEO Jensen Huang Advocates for AI Advancement in U.S. and China
NVIDIA's CEO Jensen Huang emphasizes AI's global benefits during meetings in Washington, D.C. and Beijing, highlighting initiatives to boost AI infrastructure and innovation.
Enhancing AI Training: NVIDIA's NCCL Advances Cross-Data Center Communication
NVIDIA's NCCL introduces enhanced cross-data center communication features, optimizing AI training by leveraging network topology awareness and supporting multiple data centers with minimal modifications.
NVIDIA Unveils NCCL 2.27: Enhancing AI Training and Inference Efficiency
NVIDIA launches NCCL 2.27 to improve AI workloads with faster GPU communication, lower latency, and enhanced resilience, addressing the demands of modern AI infrastructures.
AI-Powered Climate Models: Revolutionizing Climate Forecasting with ClimSim-Online
NVIDIA introduces ClimSim-Online, an AI-powered framework revolutionizing climate modeling by integrating machine learning with traditional climate simulators, enhancing speed and accuracy in climate forecasts.