NVIDIA Nemotron 3 Ultra Leads Open Models on Accuracy and Efficiency in Agentic RTL Coding | NVIDIA Technical Blog

What this post added

Introduced NVIDIA Nemotron 3 Ultra, a 550B parameter Mixture-of-Experts Hybrid Mamba-Attention model with a 1M-token context length, specifically trained on a synthetic RTL dataset. Demonstrated its effectiveness in agentic RTL coding workflows when combined with the ACE-RTL agent, achieving a 97.1% average pass rate on the CVDP benchmark and outperforming other models in accuracy and token efficiency. Detailed the synthetic data generation pipeline used for training Nemotron 3 Ultra on RTL coding tasks.