NVIDIA
NVIDIA Announces Future CUDA Toolkit Support Changes Impacting Older GPU Architectures
NVIDIA plans to remove support for offline compilation of GPU architectures before compute capability 7.5 in the upcoming CUDA 13.0 release, affecting older GPU models such as Maxwell, Pascal, and Volta.
NVIDIA Enhances Quantum Computing Capabilities with CUDA-Q 0.12 Update
NVIDIA's CUDA-Q 0.12 update introduces advanced simulation tools for quantum computing, offering improved performance and flexibility for researchers in quantum application development.
Enhancing RAG Pipelines with NVIDIA's Advanced Nemotron Models
Explore how NVIDIA's Llama Nemotron models can improve retrieval-augmented generation (RAG) systems by enhancing query rewriting and reasoning capabilities.
Enhancing Large Language Models: NVIDIA's Post-Training Quantization Techniques
NVIDIA's post-training quantization (PTQ) advances performance and efficiency in AI models, leveraging formats like NVFP4 for optimized inference without retraining, according to NVIDIA.
NVIDIA's GB300 NVL72: A Game Changer for AI Power Management
NVIDIA introduces the GB300 NVL72, offering advanced power smoothing to tackle AI workload induced power fluctuations, enhancing data center efficiency and grid stability.
NVIDIA Introduces Model Signing for Enhanced AI Security
NVIDIA's new model signing initiative in the NGC Catalog aims to bolster AI security by providing cryptographic verification, ensuring model integrity and trust across various deployment environments.
NVIDIA Unveils Llama Nemotron Super v1.5 for Enhanced AI Efficiency
NVIDIA introduces the Llama Nemotron Super v1.5, promising improved accuracy and efficiency in AI applications, particularly in reasoning and agentic tasks.
NVIDIA Enhances Vector Search with GPU-Accelerated cuVS for Real-Time Data Retrieval
NVIDIA's cuVS introduces GPU-accelerated vector search, optimizing indexing and retrieval for AI applications. The latest release enhances performance with new algorithms and integrations.
NVIDIA's NeMo Framework Enables Weekend Training of Reasoning-Capable LLMs
NVIDIA introduces an efficient method to train reasoning-capable language models over a weekend using the NeMo framework, leveraging the Llama Nemotron dataset and LoRA adapters.
Financial Services Revolutionized by Agentic AI for Enhanced Efficiency and Security
Discover how financial services are leveraging agentic AI to boost productivity, enhance security, and improve customer service, according to NVIDIA's insights.
NVIDIA Introduces Advanced Robotic Simulation with Warp and Gaussian Splatting
Explore NVIDIA's innovative approach to robotic simulations using Warp and Gaussian Splatting, facilitating real-time digital twin creation for enhanced robotic perception and interaction.
Dynamic Knowledge Enhances AI Agents with Agentic RAG
Exploring how dynamic knowledge and Agentic RAG elevate AI agents' efficiency and adaptability beyond traditional RAG systems, revolutionizing their real-time decision-making capabilities.
Enhancing Inference Efficiency: NVIDIA's Innovations with JAX and XLA
NVIDIA introduces advanced techniques for reducing latency in large language model inference, leveraging JAX and XLA for significant performance improvements in GPU-based workloads.
NVIDIA NeMo Agent Toolkit Hackathon Showcases Innovative AI Solutions
The NVIDIA NeMo Agent Toolkit Hackathon highlighted groundbreaking AI projects, showcasing the tool's potential in logistics, software development, and travel planning through innovative multi-agent AI workflows.
Together AI Achieves Breakthrough Inference Speed with NVIDIA's Blackwell GPUs
Together AI unveils the world's fastest inference for the DeepSeek-R1-0528 model using NVIDIA HGX B200, enhancing AI capabilities for real-world applications.