Agent platforms
Optimizing Agent Reliability and Tool Calling Efficiency for Chip Design Using NVIDIA NeMo Gym
Our short summary of NVIDIA’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on developer.nvidia.com (opens in a new tab)Problem
AI agents often produce plausible but wrong results, risking errors that spread through chip design workflows.
Solution
Used NVIDIA NeMo Gym to test and refine the Siemens Fuse EDA agent, adding verifiers and better tool descriptions, which raised benchmark scores to ~95% and cut agent turns by 66%.
Score ~95%, turns reduced 66%
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on developer.nvidia.com (opens in a new tab)
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