How do you make a chip design agent more reliable and efficient?
The @Siemens EDA team used NVIDIA NeMo Gym to check the engineering files its agent produced, trace errors, and improve the agent’s skills and tool descriptions.
In its standard cell characterization benchmark, those changes raised the composite verification score from ~55% to ~95%, with 66% fewer agent turns and 64% fewer output tokens.
We just published a new techblog that walks through what the team measured, what they changed, and how other engineering teams can apply the approach → https://nvda.ws/4Beujcb