Model Releases
NVIDIA Nemotron 3 Ultra Leads Open Models on Accuracy and Efficiency in Agentic RTL Coding
NVIDIA’s Nemotron 3 Ultra, when paired with the ACE‑RTL agent, achieves a 97.1 % average pass rate on the CVDP benchmark across nine RTL task categories—surpassing GLM 5.2 and Kimi K2.6 while using up
NVIDIA’s Nemotron 3 Ultra, when paired with the ACE‑RTL agent, achieves a 97.1 % average pass rate on the CVDP benchmark across nine RTL task categories—surpassing GLM 5.2 and Kimi K2.6 while using up to 71 % fewer tokens per iteration. Its hybrid Mamba‑Attention mixture‑of‑experts architecture, trained on a synthetic, rubric‑filtered RTL dataset, delivers high‑throughput long‑context inference that integrates seamlessly with leading EDA tools from Cadence, Siemens, and Synopsys.
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Source: NVIDIA Developer | 2026-07-27