To address the scarcity and cost of high-quality training data, NVIDIA has released Nemotron-4 340B, a family of open models optimized for generating synthetic data pipelines. The suite includes Base, Instruct, and Reward models designed to work in tandem: the Instruct model generates diverse outputs, while the Reward model—which topped the Hugging Face RewardBench upon release—filters and grades them for quality. Released under a permissive license, the 340B-parameter models are optimized for NVIDIA’s NeMo and TensorRT-LLM frameworks, providing a scalable solution for developers to train and refine their own commercial LLMs without relying solely on organic datasets.