In the news
NVIDIA Nemotron 3 Ultra Leads Open Models on Accuracy and Efficiency in Agentic RTL Coding
NVIDIA Developer · Published · 3 min read
In 30 seconds
- What happened
- NVIDIA released Nemotron 3 Ultra, achieving 97.1% pass rate on RTL coding tasks, outperforming competitors while using 71% fewer tokens.
- Why it matters
- Hardware engineers and chip designers using AI agents for register transfer level code generation, modification, debugging, and verification workflows.
- Watch out
- Results measured on CVDP benchmark with ACE-RTL agent framework; real-world performance on production designs and integration with EDA tools requires validation.
- agent
- agentic
- llm
- reasoning
- edge
The patterns behind this
Each one covers how the technique works, when it earns its cost, and where it breaks.
The Agent Architect
One pattern, one tradeoff, one production failure story. A short weekly briefing for people building agentic systems.
Weekly email, one-click unsubscribe. We only use your address to send the briefing.