NVIDIA GTC Taipei -- NVIDIA today announced new software, open source models and partnerships with the world's leading software platform providers to build autonomous AI agents for industries and enterprises across engineering, healthcare, software development and business operations.

Leading software companies are using NVIDIA Agent Toolkit software to build secure, long-running AI agents that act as digital coworkers. These autonomous agents start with a model. Then, they require a software layer called a harness to turn the model into an agent with functions like orchestration, context, memory, tool use and security.

NVIDIA Agent Toolkit software equips enterprises to build agents that can work alongside employees at scale. NVIDIA Nemotron™ open models and NVIDIA NemoClaw™ blueprints connect popular harnesses; the NVIDIA OpenShell™ secure runtime sets policy and privacy controls; and agents can now tap into NVIDIA CUDA-X™ libraries as skills.

"The world's software leaders are bringing AI agents into the systems where work gets done — showing how AI coworkers help employees think faster and execute complex tasks to solve bigger problems," said Jensen Huang, founder and CEO of NVIDIA. "NVIDIA NemoClaw provides enterprise software developers with the open building blocks to create more secure, long-running AI coworkers that amplify human expertise as they reshape how work gets done."

Design and Simulation Leaders Build Autonomous AI Engineers With NVIDIA NemoClaw

In semiconductor and industrial engineering, simulation and verification are among the most time-intensive workloads, requiring teams to execute complex, repetitive workflows across days or weeks before a design can move forward.

Cadence, Dassault Systèmes, Siemens, Synopsys, Flexcompute, Luminary, Neural Concept, nTop, P-1 AI, PhysicsX and Synera are among the first to build autonomous AI engineers to work alongside employees, using NVIDIA NemoClaw. By delegating these tasks to always-on autonomous AI engineers, organizations can compress those weeks of engineering cycles into hours and redirect human expertise toward the work that demands it most.

Cadence is using NVIDIA OpenShell to secure its ChipStack AI Super Agent, a fully autonomous AI engineer that executes chip design and verification. NVIDIA is the first customer using ChipStack to autonomously verify its chip designs.

Dassault Systèmes is using NVIDIA NemoClaw and OpenShell to productize the 3DEXPERIENCE agentic platform for long-running, autonomous agents across design, simulation and manufacturing operations.

Siemens is integrating NVIDIA NemoClaw and OpenShell into Fuse EDA AI Agent, a purpose-built autonomous agent that plans and orchestrates multi-tool workflows across semiconductor, 3D integrated circuit and printed circuit board system design.

Synopsys is working with NVIDIA to build always-on autonomous AI engineers for chip design, with a focus on achieving full workflow autonomy.

Also announced today, Foxconn is piloting NVIDIA NemoClaw to power its Nurabot and CoDoctor platforms, using teams of specialized AI agents to support clinical reasoning, documentation and care coordination. Foxconn is also using the NVIDIA FOX and NemoClaw blueprints to build MoMClaw, a factory operations agent that connects sensor and machine data with AI agents to deliver real-time insights and action plans with NVIDIA OpenShell privacy controls and safety guardrails.