{"id":135898,"date":"2026-06-02T22:00:58","date_gmt":"2026-06-02T22:00:58","guid":{"rendered":"https:\/\/blogs.nvidia.com\/?p=93790"},"modified":"2026-06-02T22:00:58","modified_gmt":"2026-06-02T22:00:58","slug":"industrial-software-leaders-build-secure-autonomous-ai-engineers-with-nvidia-nemoclaw-2","status":"publish","type":"post","link":"https:\/\/webdomino.net\/index.php\/nvidia\/industrial-software-leaders-build-secure-autonomous-ai-engineers-with-nvidia-nemoclaw-2\/","title":{"rendered":"Industrial Software Leaders Build Secure, Autonomous AI Engineers With NVIDIA NemoClaw"},"content":{"rendered":"
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Accelerated computing has revolutionized industrial engineering, compressing simulation times from weeks to hours.\u00a0<\/span><\/p>\n

Today\u2019s remaining challenges sit in the end-to-end workflow surrounding the simulations: computer-aided design, meshing, simulation setup and debugging, as well as post-processing and generating summary reports of these processes.\u00a0<\/span><\/p>\n

At GTC Taipei at COMPUTEX, NVIDIA and more than a dozen engineering software providers are showcasing<\/a> how autonomous AI agents automate this entire workflow.<\/span><\/p>\n

These AI engineers are based on <\/span>NVIDIA NemoClaw<\/span><\/a>, an open blueprint for building specialized, long-running agents with a secure runtime and frontier models.\u00a0<\/span><\/p>\n

NemoClaw includes a choice of harness \u2014 meaning it can be integrated with various orchestration frameworks enterprises use to deploy and coordinate agents, such as OpenClaw and Hermes \u2014 as well as a model router and <\/span>NVIDIA NeMo<\/span><\/a> libraries for customization.\u00a0<\/span><\/p>\n

Users can easily deploy NemoClaw from <\/span>NVIDIA DGX Spark<\/span><\/a> personal AI supercomputers, as well as through enterprise data centers and cloud service providers. <\/span>NVIDIA OpenShell<\/span><\/a> \u2014 the open source runtime at its core \u2014 governs how each agent accesses files, networks and tools, enforcing policy-based security at every layer.<\/span><\/p>\n

Industrial Engineering Leaders Build AI Agents Across Design, Engineering, Simulation<\/b><\/h2>\n

Industrial software leaders are building AI engineers for computer-aided engineering (CAE) and electronic design automation (EDA) use cases across automotive, aerospace, semiconductors and manufacturing.<\/span><\/p>\n

Cadence<\/span><\/a> is building an autonomous register-transfer level (RTL) engineer with NemoClaw that orchestrates <\/span>Cadence<\/span> Design Systems ChipStack for design and verification. The workflow was featured yesterday in a GTC Taipei keynote demo and is cutting time for RTL verification \u2014 a key step in digital circuit design \u2014 from weeks to hours.<\/span><\/p>\n