NVIDIA Expands NVIDIA Agent Toolkit With NVIDIA PhysicsNeMo and CUDA-X Libraries to Transform How the World Engineers, Designs and Builds

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NVIDIA Agent Toolkit With NVIDIA PhysicsNeMo and CUDA-X Libraries News Summary: LONG BEACH, Calif., July 26, 2026 (GLOBE NEWSWIRE) -- NVIDIA today announced an expansion of NVIDIA Agent Toolkit for engineering, now adding NVIDIA PhysicsNeMo™ and CUDA-X™ libraries as agent-ready tools and skills built to transform how the world designs and develops products. Building the next generation of chips and systems requires teams to connect physics, simulation and performance analysis across increasingly complex design cycles. A new class of autonomous AI engineers is emerging to help take on that complexity — using specialized tools, running simulations and generating high-fidelity data to help scale chip design, verification, packaging and systems.  Now included in NVIDIA Agent Toolkit, NVIDIA has re-architected PhysicsNeMo into a set of agent-friendly libraries and added new and updated CUDA-X libraries to support complex engineering work. PhysicsNeMo provides AI physics skills for training and deploying models, while CUDA-X libraries bring accelerated solvers and quantum chemistry capabilities into agentic engineering workflows. "Engineering has reached an inflection point. AI can now work with tools of physics, simulation and design," said Timothy Costa, vice president and general manager of computational engineering at NVIDIA. "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." NVIDIA Agent Toolkit Adds AI Physics and Accelerated Computing Skills for Engineering AgentsNVIDIA Agent Toolkit helps developers build specialized engineering AI assistants connected to domain-specific tools, models and data. With the addition of NVIDIA PhysicsNeMo and CUDA-X libraries, these agents can now use AI physics skills, accelerated solvers and quantum chemistry capabilities for chip, system and industrial engineering.  Key capabilities include: NVIDIA Nemotron 3 Ultra Open Model Advances Agentic Coding for Chip DesignChip design depends on specialized register-transfer level (RTL) coding, which demands high accuracy, deep domain expertise and flexibility over deployment.  With ACE-RTL — an agent for designing hardware from NVIDIA Research — NVIDIA Nemotron™ 3 Ultra leads among open models in agenti...

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