Industrial Software Leaders Build Secure, Autonomous AI Engineers With NVIDIA NemoClaw
At GTC Taipei at COMPUTEX, NVIDIA and more than a dozen engineering software providers showed autonomous AI agents that automate the full industrial engineering workflow around simulation, from computer-aided design and meshing to setup, debugging, post-processing and reporting. The agents are built on NVIDIA NemoClaw, an open blueprint for specialized, long-running agents with a secure runtime and frontier models. Industrial leaders including Cadence, Dassault Systemes, Siemens and Synopsys, along with startups, are applying NemoClaw to compress weeks of simulation work into hours.
Key Takeaways
- NVIDIA and more than a dozen engineering software providers showcased autonomous AI engineers at GTC Taipei at COMPUTEX.
- The agents are based on NVIDIA NemoClaw, an open blueprint for building specialized, long-running agents with a secure runtime and frontier models.
- NemoClaw offers a choice of orchestration integration, a model router and NVIDIA NeMo libraries, and works with frameworks such as OpenClaw and Hermes.
- NVIDIA OpenShell, the open source runtime at its core, governs how each agent accesses files, networks and tools with policy-based security.
- Industrial leaders Cadence, Dassault Systemes, Siemens and Synopsys are building AI engineers for CAE and EDA across automotive, aerospace, semiconductors and manufacturing.
- Startups including Flexcompute, Luminary and Neural Concept are extending agentic AI to optics, AI physics models and electric motor design.
The workflow challenge around simulation
Accelerated computing already compressed simulation times, but surrounding steps remain manual.
- ›Accelerated computing compressed simulation times from weeks to hours.
- ›Remaining challenges sit in the end-to-end workflow: computer-aided design, meshing, simulation setup and debugging.
- ›Post-processing and generating summary reports also remain part of that workflow.
At GTC Taipei at COMPUTEX, NVIDIA and more than a dozen engineering software providers showed how autonomous AI agents automate this entire workflow.
What NemoClaw provides
NemoClaw is the foundation for these AI engineers.
- ›It is an open blueprint for building specialized, long-running agents with a secure runtime and frontier models.
- ›It supports a choice of orchestration integration, so it works with frameworks such as OpenClaw and Hermes.
- ›It also includes a model router and NVIDIA NeMo libraries for customization.
Users can deploy NemoClaw from NVIDIA DGX Spark personal AI supercomputers, as well as through enterprise data centers and cloud service providers. NVIDIA OpenShell, the open source runtime at its core, governs how each agent accesses files, networks and tools and enforces policy-based security at every layer.
Industrial leaders building AI engineers
Major CAE and EDA vendors are applying NemoClaw to design and verification.
- ›Cadence is building an autonomous register-transfer level engineer that orchestrates Cadence Design Systems ChipStack, cutting RTL verification from weeks to hours.
- ›Dassault Systemes is productizing the 3DEXPERIENCE Agentic Platform for design, simulation and manufacturing, powered by NemoClaw and OpenShell.
- ›Siemens is integrating NemoClaw and OpenShell into its Fuse EDA AI Agent for semiconductor, 3D integrated circuit and printed circuit board system design.
- ›Synopsys is applying agents to end-to-end engineering workflows, with Ansys Icepak demoed on the COMPUTEX show floor for GPU electronics cooling design.
Startups extending agentic AI
Several startups are building AI engineers on NemoClaw.
- ›Flexcompute applies OpenShell to its Tidy3D and PhotonForge agents for multiphysics co-packaged optics design, exploring thousands of design variants overnight.
- ›Luminary is building a long-running AI engineer to reduce the time and complexity of training AI physics models by orchestrating data generation, model selection and training loops.
- ›Neural Concept is deploying an agent for electric motor design that chains electromagnetic and structural workflows.
NVIDIA is using Flexcompute technology for the design and optimization of advanced optical and photonic devices.
Use cases across industries
- ›Industrial software leaders are building AI engineers for computer-aided engineering and electronic design automation use cases.
- ›Target industries include automotive, aerospace, semiconductors and manufacturing.
- ›Cadence's RTL verification workflow was featured in a GTC Taipei keynote demo.
Frequently Asked Questions
What is NVIDIA NemoClaw?
NemoClaw is an open blueprint for building specialized, long-running AI agents with a secure runtime and frontier models, including a choice of orchestration integration, a model router and NVIDIA NeMo libraries for customization.
What does NVIDIA OpenShell do?
OpenShell is the open source runtime at the core of NemoClaw that governs how each agent accesses files, networks and tools, enforcing policy-based security at every layer.
Where were the autonomous AI engineers shown?
They were showcased at GTC Taipei at COMPUTEX, where NVIDIA and more than a dozen engineering software providers demonstrated how the agents automate the full simulation workflow.
Which companies are building AI engineers with NemoClaw?
Industrial leaders include Cadence, Dassault Systemes, Siemens and Synopsys, while startups such as Flexcompute, Luminary and Neural Concept are extending the technology to optics, AI physics models and electric motor design.
How can NemoClaw be deployed?
It can be deployed from NVIDIA DGX Spark personal AI supercomputers, as well as through enterprise data centers and cloud service providers.
NVIDIA and its engineering software partners present NemoClaw and OpenShell as the foundation for autonomous AI engineers that compress weeks of simulation work into hours.
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