Siemens Fuse EDA AI Agent

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1. 5d
   NVIDIA NeMo Gym cuts Siemens EDA chip-design agent turns 66%, lifts score to 95%

   NVIDIA published a technical blog describing how Siemens EDA used the open evaluation library NVIDIA NeMo Gym to improve the reliability of its chip-design agent. The agent handles Liberty (.lib) file generation for standard-cell characterization; a domain-specific verifier scores final artifacts on coverage, validity, relative validation, accuracy and integrity, awarding zero reward if any gate fails. On a benchmark based on the open GF180MCU PDK — 229 standard cells across 36 PVT corners, with each tuning run restricted to two cells — the composite verification score rose from roughly 55% to about 95%. Agent turns fell from 155 to 53 (about 66% fewer) and output tokens from roughly 81K to 29K (about 64% fewer), after the team simplified overlapping file and shell interfaces and defined explicit JSON schemas for Model Context Protocol tool inputs based on verifier diagnostics. The runs used Claude Opus 4.8 in Claude Code as the fixed model and agent harness.

   NVIDIA Technical Blog · 🔥 0

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