Nvidia's Nemotron-Cascade 2 wins math and coding gold medals with 3B active parameters — and its post-training recipe is now open-source

The prevailing assumption in AI development has been straightforward: larger models trained on more data produce better results. Nvidia's latest release directly challenges that size assumption — and the training recipe behind it may matter more to enterprise AI teams than the model itself. The open-weight model's Cascade RL post-training pipeline, detailed in Nvidia's technical report, offers a reproducible blueprint for enterprise teams building domain-specific reasoning systems without training from scratch.Nemotron-Cascade 2 is an open-weight 30B Mixture-of-Experts (MoE) model that activates only 3B parameters at inference time. Despite this compact footprint, it achieved gold medal-level performance on three of the world's most demanding competitions: the 2025 International Mathematical Olympiad (IMO), the International Olympiad in Informatics (IOI), and the ICPC World Finals. It is the second open model to reach this tier, after DeepSeek-V3.2-Speciale — a mode