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Into the Omniverse: How Generative AI Fuels Personalized, Brand-Accurate Visuals With OpenUSD

Interactive 3D tools built by NVIDIA Omniverse developers are helping brands deliver tailored, high-quality marketing content at scale.

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Letting Large Models Debate: The First Multilingual LLM Debate Competition

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NVIDIA Announces Financial Results for Third Quarter Fiscal 2025

Record quarterly revenue of $35.1 billion, up 17% from Q2 and up 94% from a year agoRecord quarterly Data Center revenue of $30.8 billion, up 17% from Q2 and up 112% from a year ago SANTA …

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Advancing Neuroscience Research with Visual Question Answering and Multimodal Retrieval

Leading healthcare organizations are turning to generative AI to help build applications that can deliver life-saving impacts. These organizations include the…

Leading healthcare organizations are turning to generative AI to help build applications that can deliver life-saving impacts. These organizations include the Indian Institute of Technology Madras – IIT Madras Brain Centre. Advancing neuroscience research, the IIT Madras Brain Centre is using AI to generate analyses of whole human brains at a cellular level across various demographics.

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Boost Large-Scale Recommendation System Training Embedding Using EMBark

An illustration showing recommender systems.Recommendation systems are core to the Internet industry, and efficiently training them is a key issue for various companies. Most recommendation systems are…An illustration showing recommender systems.

Recommendation systems are core to the Internet industry, and efficiently training them is a key issue for various companies. Most recommendation systems are deep learning recommendation models (DLRMs), containing billions or even tens of billions of ID features. Figure 1 shows a typical structure. In recent years, GPU solutions such as NVIDIA Merlin HugeCTR and TorchRec have…

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From Files to Chunks: Improving Hugging Face Storage Efficiency

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Large Language Models explained briefly

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The scale of training LLMs

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The Need for Speed: NVIDIA Accelerates Majority of World’s Supercomputers to Drive Advancements in Science and Technology

Starting with the release of CUDA in 2006, NVIDIA has driven advancements in AI and accelerated computing — and the most recent TOP500 list of the world’s most powerful supercomputers highlights the culmination of the company’s achievements in the field. This year, 384 systems on the TOP500 list are powered by NVIDIA technologies. Among the
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Faster Text Generation with Self-Speculative Decoding