Start Customizing NVIDIA Nemotron 3 Nano with Prime Intellect Lab in Minutes | NVIDIA Technical Blog

This post details the practical application of customizing NVIDIA Nemotron 3 Nano using Prime Intellect Lab's hosted reinforcement learning environment. It demonstrates a complete workflow: establishing a baseline accuracy on a Python math task, training a LoRA adapter using RLVR, and re-evaluating to show improvement. The post highlights the accessibility of model customization through platforms that abstract away infrastructure management and emphasizes the importance of open model resources (weights, data, recipes) for reproducibility and adaptation.