NVIDIA Nemotron 3 Ultra — Open-Source AI Model Revolutionizing Chip Design
NVIDIA's new open-source Nemotron 3 Ultra model leads in accuracy and efficiency for agentic RTL coding — ushering a new era of AI-powered chip design automation.
Revolution in RTL Coding: AI That Writes Chips
The semiconductor industry is entering a new phase with NVIDIA's Nemotron 3 Ultra — an open AI model specifically designed for RTL (Register-Transfer Level) coding, capable of understanding and generating hardware description language code.
What Is RTL Coding and Why It Matters
RTL coding is the foundation of chip design. Engineers describe how data moves between registers and what logical operations the chip performs. NVIDIA's Nemotron 3 Ultra automates this process.
CVDP Benchmark: Confirming Leadership
Tested on the CVDP benchmark (9 categories), Nemotron 3 Ultra achieved 97.1% average pass rate in RTL generation — significantly surpassing GitHub Copilot (70.6%) and Claude Opus 5 (85.3%).
ACE-RTL Agent: A Team of Intelligent Agents
At the heart of Nemotron 3 Ultra is the ACE-RTL agent, composed of three specialized agents: Generator (writes RTL code), Reflector (reviews comments), and Coordinator (optimizes performance).
Hybrid Mamba-Attention MoE: 550B Model Architecture
Using Hybrid Mamba-Attention Mixture of Experts (MoE) architecture with 550 billion total and 55 billion active parameters.
Synthetic Data Generation Pipeline
NVIDIA built an SDG pipeline generating over 10,000 RTL samples, with SyntheRTL providing 37,000+ examples for training.
EDA Integration
Integration with all three leading EDA vendors: Cadence, Siemens EDA, and Synopsys.
Conclusion
Nemotron 3 Ultra sets a new standard for RTL coding with 97.1% CVDP pass rate, 550B/55B MoE architecture, and open-source availability.