NVIDIA expands Agent Toolkit for AI-driven chip engineering News | July 30, 2026 By Asma AdhimiNVIDIA has expanded its NVIDIA Agent Toolkit with new AI physics and accelerated computing capabilities, aiming to accelerate the adoption of autonomous AI engineers for chip and system design. NVIDIA says its expanded Agent Toolkit enables developers to build AI agents capable of reasoning with physics models, launching engineering simulations and generating high-fidelity design data. “With NVIDIA Agent Toolkit, developers can build agentic engineers that reason using physics, run complex simulations and generate high-fidelity data to become a new engine for innovation in chip and system design.” The model is designed to help enterprises build AI agents for chip design while allowing deployment on local infrastructure using proprietary datasets. Synopsys is incorporating the Agent Toolkit, NeMo technologies and Nemotron models into AgentEngineer to automate chip and system design workflows, while Siemens is combining NVIDIA AI models and CUDA-X libraries with its Fuse EDA AI Agent to orchestrate multi-tool engineering processes.