Build AI Factory Digital Twins With Frontier AI and AVEVA, a Schneider Electric Company
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Wednesday, November 4, 2:00 PM – 3:00 PM (EST)
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How can AI factories get more compute from available power? Digital twins let teams test power and cooling changes before making them. Frontier AI agents can now help developers assemble these twins, and engineering solvers calculate how each option performs.
We’ll start with the agent-assisted workflow from our technical blog, where a frontier AI agent helps build an editable OpenUSD AI factory model with the NVIDIA Omniverse DSX Blueprint and SimReady assets. Then AVEVA, part of Schneider Electric, shows its Immersive Twin, piloted with Nscale and Start Campus in Portugal. It connects an AI factory model to engineering solvers to compare rack configurations and cooling settings, and find ways to reduce cooling power while meeting temperature targets.
Whether you develop engineering applications or build AI factory digital twins, learn how to connect facility and IT decisions in a shared simulation workflow.
What You’ll Learn:
- How AVEVA is developing an AI factory digital twin with Nscale and Start Campus.
- How frontier AI agents help assemble an editable AI factory model with the DSX Blueprint.
- How engineering solvers help compare rack configurations and cooling settings.
- How simulation can identify cooling-power savings while respecting temperature targets.
Access more NVIDIA DSX Sim and Omniverse developer resources and join our developer community:
📄 Read the Technical Blog → Read blog
🏗️ Explore the NVIDIA Omniverse DSX Blueprint → Get started
📚 Prepare SimReady Assets → SimReady asset guidance
💻 Explore AI Factory Pipeline Samples → GitHub
👥 Join the NVIDIA Omniverse Community → Discord
...
Read more
Read more
Add to Calendar
2026/11/04 11:00:00
2026/11/04 12:00:00
America/Los_Angeles
Build AI Factory Digital Twins With Frontier AI and AVEVA, a Schneider Electric Company
How can AI factories get more compute from available power? Digital twins let teams test power and cooling changes before making them. Frontier AI agents can now help developers assemble these twins, and engineering solvers calculate how each option performs.
We’ll start with the agent-assisted workflow from our technical blog, where a frontier AI agent helps build an editable OpenUSD AI factory model with the NVIDIA Omniverse DSX Blueprint and SimReady assets. Then AVEVA, part of Schneider Electric, shows its Immersive Twin, piloted with Nscale and Start Campus in Portugal. It connects an AI factory model to engineering solvers to compare rack configurations and cooling settings, and find ways to reduce cooling power while meeting temperature targets.
Whether you develop engineering applications or build AI factory digital twins, learn how to connect facility and IT decisions in a shared simulation workflow.
What You’ll Learn:
Access more NVIDIA DSX Sim and Omniverse developer resources and join our developer community:
📄 Read the Technical Blog → Read blog
🏗️ Explore the NVIDIA Omniverse DSX Blueprint → Get started
📚 Prepare...
---
Event details:
https://www.addevent.com/event/bktxttf1j8f4
https://www.youtube.com/watch?v=XgtJweTwbw4 Amelia Ng amelian@nvidia.com false 30
We’ll start with the agent-assisted workflow from our technical blog, where a frontier AI agent helps build an editable OpenUSD AI factory model with the NVIDIA Omniverse DSX Blueprint and SimReady assets. Then AVEVA, part of Schneider Electric, shows its Immersive Twin, piloted with Nscale and Start Campus in Portugal. It connects an AI factory model to engineering solvers to compare rack configurations and cooling settings, and find ways to reduce cooling power while meeting temperature targets.
Whether you develop engineering applications or build AI factory digital twins, learn how to connect facility and IT decisions in a shared simulation workflow.
What You’ll Learn:
- How AVEVA is developing an AI factory digital twin with Nscale and Start Campus.
- How frontier AI agents help assemble an editable AI factory model with the DSX Blueprint.
- How engineering solvers help compare rack configurations and cooling settings.
- How simulation can identify cooling-power savings while respecting temperature targets.
Access more NVIDIA DSX Sim and Omniverse developer resources and join our developer community:
📄 Read the Technical Blog → Read blog
🏗️ Explore the NVIDIA Omniverse DSX Blueprint → Get started
📚 Prepare...
---
Event details:
https://www.addevent.com/event/bktxttf1j8f4
https://www.youtube.com/watch?v=XgtJweTwbw4 Amelia Ng amelian@nvidia.com false 30
location_on
https://www.youtube.com/watch?v=XgtJweTwbw4