Uploaded July 2026 | Updated September 2026, 2 weeks ago
This demo showcases a self-verifying, long-running agentic workflow powered by the Solido Characterization Suite agent and NVIDIA AI infrastructure and software.
Library characterization, which involves generating and verifying Liberty files across process corners for advanced-node standard cell and custom IP libraries, has historically demanded multiple full-time engineers, weeks of runtime and constant manual intervention. That changes now.
Set the intent and step away. The agent runs, debugs, validates and delivers, transforming weeks of manual iteration into a self-verifying flow. Throughout the flow, skill files guide automated debug, enabling the agent to identify and resolve issues on its own without ever interrupting the engineer.
Config setup that once took hours now takes minutes. Pipecleaning that stretched across days now wraps up in hours. And the full flow, previously a weeks-long effort, now completes in days. Token costs are cut approximately by 5X to 10X through the use of Switchyard and Nemotron models, with an additional 25% reduction from NeMo Gym optimization. The result: an overall 10X faster characterization workflow.
▶️ Connect with us:
» LinkedIn: https://sie.ag/5DDLar
» EDA blogs: https://sie.ag/7HKF9V
» IC Design Community Discussion Board: https://sie.ag/5aQtu8
» X: https://sie.ag/5bE63W
#EDAAI #ICDesign #SemiconductorDesign #AIchipdesign
This demo showcases a self-verifying, long-running agentic workflow powered by the Solido Characterization Suite agent and NVIDIA AI infrastructure and software.
Library characterization, which involves generating and verifying Liberty files across process corners for advanced-node standard cell and custom IP libraries, has historically demanded multiple full-time engineers, weeks of runtime and constant manual intervention. That changes now.
Set the intent and step away. The agent runs, debugs, validates and delivers, transforming weeks of manual iteration into a self-verifying flow. Throughout the flow, skill files guide automated debug, enabling the agent to identify and resolve issues on its own without ever interrupting the engineer.
Config setup that once took hours now takes minutes. Pipecleaning that stretched across days now wraps up in hours. And the full flow, previously a weeks-long effort, now completes in days. Token costs are cut approximately by 5X to 10X through the use of Switchyard and Nemotron models, with an additional 25% reduction from NeMo Gym optimization. The result: an overall 10X faster characterization workflow.
▶️ Connect with us:
» LinkedIn: https://sie.ag/5DDLar
» EDA blogs: https://sie.ag/7HKF9V
» IC Design Community Discussion Board: https://sie.ag/5aQtu8
» X: https://sie.ag/5bE63W
#EDAAI #ICDesign #SemiconductorDesign #AIchipdesign
