Why NVIDIA Built Nemotron—Open Models, Datasets, and Techniques for the Future of AI

AI Model & Technology - NVIDIA's Nemotron aims to provide an open approach to AI development, optimizing models and leveraging accelerated computing [2][3] - Nemotron is not just a model, but a collection of AI technology used to build GPUs and systems [4] - Nemotron offers pre-training datasets and post-training technology, exemplified by ServiceNow's model training and Meta's Llama model enhancement [5][6] - NVIDIA aims to advance both generalized and specialized intelligence, enabling businesses to tailor AI for their unique problems [7][8] Business & Industry Impact - AI is impacting every business, requiring trust and understanding for effective deployment [1][2] - Open technologies, like the internet, have transformed industries such as retail banking and healthcare, and AI needs a similar open foundation [2] - NVIDIA's goal is to support companies worldwide in building and deploying AI using Nemotron technology [9] Technical Aspects - A faster model is considered a smarter model because it can process more information in the same amount of time [3] - Nemotron facilitates full-stack optimization, from model architectures and algorithms to networking and compute [9]