NVIDIA Nemotron 3 Ultra 在智能体 RTL 编码中精度与效率领先开源模型
NVIDIA Nemotron 3 Ultra Leads Open Models on Accuracy and Efficiency in Agentic RTL Coding
NVIDIA Nemotron 3 Ultra 在智能体 RTL 编码任务上于精度与效率两项指标领先开源模型。RTL 开发与验证需要专业硬件知识和精确推理，并需反复与 EDA 工具交互。LLM 已加速代码生成，AI 智能体则借助验证反馈迭代纠错，进一步扩大其作用。
Modern chip design is increasingly limited by engineering time. Register transfer level (RTL) development and verification require specialized hardware...
Modern chip design is increasingly limited by engineering time. Register transfer level (RTL) development and verification require specialized hardware knowledge, precise reasoning, and repeated interaction with electronic design automation (EDA) tools. LLMs have accelerated code generation, and AI agents extend their impact by using verification feedback to iteratively correct errors.
来源：NVIDIA Developer Blog · developer.nvidia.com