NVIDIA's Nemotron is an open collection of AI models, datasets, and training recipes designed to allow developers to build, customize, and deploy AI systems with transparency and flexibility. It includes models ranging from lightweight edge devices to large-scale language models, offering insights into their training data and customization options. The platform leverages a hybrid Transformer and Mamba architecture to enhance inference speed and accuracy, and introduces innovations such as FP4 precision training, which reduces energy consumption. Nemotron's open datasets facilitate efficient model training, while its architecture supports real-world applications like multimodal document intelligence and AI coding assistants. It aligns with NVIDIA's strategy of "extreme co-design," integrating hardware and software development to accelerate AI progress. By fostering an open AI development community, NVIDIA encourages collaboration and innovation, inviting contributions and feedback to shape future AI infrastructure and applications.