NVIDIA NeMo Gym used to lift chip-design agent reliability

NVIDIA said its NeMo Gym environment was used to help improve the reliability of a Siemens Fuse EDA AI agent for standard-cell characterization, with the measured benchmark composite score rising from about 55% to roughly 95% after changes to the agent’s skills and tool descriptions. The company said the work mattered because agentic workflows in chip design can produce plausible but incorrect artifacts, allowing early errors to propagate into final outputs. In the Oct.

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