A Collaborative, End-to-End Approach<\/strong><\/p>\n\n\n\nThe pilot brings together expertise in energy management, engineering, simulation and AI infrastructure operations. Together, these give a more complete view of data center performance.<\/p>\n\n\n\n
It supports the full lifecycle of AI factories, from design through operations. To do this, it uses an OpenUSD-based digital twin. The twin connects Schneider Electric, ETAP, AVEVA and third-party technologies.<\/p>\n\n\n\n
Teams can also run rapid \u201cwhat-if\u201d scenarios across power, cooling and process behavior. This helps them validate design decisions and assess upgrade impacts. It also helps reduce procurement risk. In addition, linking IT and OT data supports continuous performance optimization.<\/p>\n\n\n\n
At the same time, the pilot advances interoperability through simulation-ready asset files. These files help speed up integration into digital twins.<\/p>\n\n\n\n
Start Campus provides the real-world infrastructure, engineering expertise and operational environment. This shows how digital twin technology can change the design, development and operation of AI data centers. Nscale can then test new configurations or technologies before implementation. That speeds up deployment and significantly reduces risk.<\/p>\n\n\n\n
AVEVA on a Unified Digital Twin<\/strong><\/p>\n\n\n\n\u201cWe are proud to have joined forces with Schneider Electric, NVIDIA, Nscale and Start Campus to develop and deploy this unified digital twin, purpose-built for AI factories,\u201d said Caspar Herzberg, CEO of AVEVA.<\/p>\n\n\n\n
\u201cBy bringing together power, cooling and infrastructure in one environment, operators can simulate upgrades, expansions and greenfield projects while continuously optimizing physical operations as conditions change, improving both \u2018time to token\u2019 and overall efficiency.\u201d<\/p>\n\n\n\n
He added that the twin is built on proven AVEVA technologies. These include CONNECT, PI System, AVEVA Process Simulation, AVEVA Unified Engineering and AVEVA Asset Information Management. The twin supports both simulation and real-time visibility into asset performance in a single pane of glass. This is enabled by Viewport, the visualization application within NVIDIA Omniverse.<\/p>\n\n\n\n
Start Campus on Building Once<\/strong><\/p>\n\n\n\n\u201cAI infrastructure needs to evolve as quickly as the technology it supports,\u201d said Robert Dunn, Chief Executive Officer at Start Campus.<\/p>\n\n\n\n
\u201cOur collaboration with Schneider Electric, Nscale and NVIDIA has taught us that operators and customers design, develop and operate data centers best when they work from the same model. By using digital twin technology to simulate how a jump in rack density moves through the power train and the liquid cooling loop before it becomes a physical reality, we can test new hardware generations, agree the configuration with our customer and build it once.\u201d<\/p>\n\n\n\n
\u201cThat accelerates deployment, improves efficiency and maximizes the value of every megawatt. This is an important step towards delivering resilient AI infrastructure at scale.\u201d<\/p>\n\n\n\n
Building on Existing Partnerships<\/strong><\/p>\n\n\n\nThe pilot expands Schneider Electric, AVEVA and ETAP\u2019s work with NVIDIA. Last year, the three companies joined the Alliance for OpenUSD (AOUSD). The goal was to accelerate digital twin and AI factory development through the NVIDIA Omniverse DSX Blueprint.<\/p>\n\n\n\n
The companies also continue to collaborate on reference architectures, integrated infrastructure and software solutions. These will power and cool the next generation of AI factories. They also use NVIDIA Omniverse libraries to simulate and improve energy efficiency in real-world environments.<\/p>\n\n\n\n
Overall, the Immersive Twin pilot shows how simulation can support decisions across the AI factory lifecycle.<\/p>\n\n\n\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
Schneider Electric, AVEVA, Nscale and Start Campus have announced one […]<\/p>\n","protected":false},"author":58,"featured_media":108023,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[147,9621],"tags":[2725],"contributor":[9732],"class_list":["post-108015","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-emerging-technologies","tag-artificial-intelligence","contributor-news-desk"],"featured_image_src":"https:\/\/techxmedia.com\/en\/wp-content\/uploads\/2026\/10\/Caspar-Herzberg.jpg.jpeg","author_info":{"display_name":"Lubna","author_link":"https:\/\/techxmedia.com\/en\/author\/lubna\/"},"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t