# NVIDIA Nemotron 3 Ultra Leads in Accuracy and Efficiency in RTL Coding

A new era in AI-assisted RTL coding begins.

- **Source:** [Nvidia Developer Blog](https://developer.nvidia.com/blog)
- **Published:** 2026-07-27
- **Topic:** [Data & AI](https://brifing.si/c/data-ai)
- **Original article:** <https://developer.nvidia.com/blog/nvidia-nemotron-3-ultra-leads-open-models-on-accuracy-and-efficiency-in-agentic-rtl-coding/>
- **On Brifing:** https://brifing.si/s/5bf038f2-63c6-48ad-89af-314eef8c4850

## Time Constraints in RTL Coding

Modern chip design is increasingly constrained by engineering time. Register transfer level (RTL) development and verification require specialized hardware knowledge and repeated interaction with electronic design automation (EDA) tools.

## Accelerating Processes with AI

Large language models (LLMs) accelerate code generation, while AI agents use verification feedback to iteratively correct errors. This is critical for RTL, as correctness depends on precise temporal behavior.

## The Role of the ACE-RTL Agent

The ACE-RTL agent provides an iterative generate-test-reflect workflow. This agent works with NVIDIA Nemotron 3 Ultra to ensure accuracy and efficiency in RTL coding.

## Advantages of Nemotron 3 Ultra

Nemotron 3 Ultra is trained for long-context reasoning and RTL generation, editing, and debugging. This leads to superior accuracy and efficiency in RTL tasks.

## The CVDP Benchmark

The Comprehensive Verilog design problems (CVDP) benchmark evaluates LLMs on realistic RTL generation, modification, debugging, and verification tasks. It better reflects practical hardware design problems.

## Importance of Agentic Workflows

RTL coding is not just writing Verilog from a prompt. A practical assistant must read specifications, understand existing modules, reuse code, and debug errors.

## Components of the ACE-RTL Agent

The ACE-RTL agent consists of a generator, a reflector, and a coordinator. The generator produces or updates RTL code, the reflector analyzes simulation feedback, and the coordinator maintains context across iterations.

## Performance of Nemotron 3 Ultra

Nemotron 3 Ultra, when used with the ACE-RTL agent, achieves the highest pass rate across CVDP task categories. It also achieves this with lower token usage.

## Sources covering this story

- https://developer.nvidia.com/blog/nvidia-nemotron-3-ultra-leads-open-models-on-accuracy-and-efficiency-in-agentic-rtl-coding/ — 

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_Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._