NVIDIA
NVIDIA Boosts AI Performance with GB200 NVL72 and OpenAI gpt-oss Models
NVIDIA collaborates with OpenAI to enhance AI capabilities, achieving up to 1.5 million TPS with their GB200 NVL72 system, optimizing gpt-oss models.
OpenAI's GPT-OSS Models Now Optimized for NVIDIA RTX GPUs
OpenAI, in collaboration with NVIDIA, has optimized its open-source GPT-OSS models for NVIDIA RTX GPUs, enhancing local AI model performance and accessibility for developers.
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.
NVIDIA Stresses Security: No Backdoors or Kill Switches in GPUs
NVIDIA emphasizes its commitment to secure computing by rejecting the integration of backdoors or kill switches in its GPUs, highlighting the risks these features pose to global digital infrastructure.
Enhancing CUDA Performance: The Role of Vectorized Memory Access
Explore how vectorized memory access in CUDA C/C++ can significantly improve bandwidth utilization and reduce instruction count, according to NVIDIA's latest insights.
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.