Schneider, Nvidia, and HPE Launch Industrial AI Platform
The companies partner to deploy edge-based AI agents for operational monitoring, cybersecurity, and energy management.
Updated on Oct. 26, 2026 in Artificial Intelligence
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Schneider Electric, Nvidia, and HPE have announced a strategic collaboration to introduce the Industrial AI Agents at the Edge technology platform. This solution leverages co-engineered infrastructure and open AI models to streamline industrial operations.
Why it matters
Industrial organizations often struggle to scale artificial intelligence due to complex data governance, strict cybersecurity needs, and operational performance requirements. This platform aims to address those barriers by processing data directly at the source.
The platform utilizes HPE Private Cloud AI, which was co-engineered with Nvidia to run Nvidia Nemotron open AI models. Deployment and governance are managed through Schneider EcoStruxure Industrial Insights applications.
The players
Schneider Electric
A global specialist in energy management and automation that provides digital solutions for efficiency and sustainability.
Nvidia
A technology company known for designing graphics processing units and developing software platforms for artificial intelligence and high-performance computing.
HPE
An information technology company that provides cloud services, supercomputing, and edge-to-cloud hardware solutions.
CMPC Chile
A large forestry and paper production corporation based in Chile that implemented the Schneider OTMS system to manage its industrial control monitoring.
The details
The platform processes data near the source to help manage both security and costs in factory settings. The solution offers three specific agents designed to optimize energy usage, improve cybersecurity, and provide advanced OT monitoring.
Timeline
The strategic collaboration was officially announced on October 26, 2026.
CMPC Chile has utilized the Schneider OTMS control system for the past 3 years.
The Tech Race
The integration of HPE Private Cloud AI into industrial workflows represents a transition away from reliance on centralized cloud systems toward localized edge computing. This positions the partnership to compete with other major tech firms vying to secure the manufacturing sector's digital infrastructure.
For industrial operators, this technology allows for the automation of complex tasks like energy management and cybersecurity monitoring without the lag of external cloud processing. These efficiency gains are designed to reduce overhead and improve output stability in manufacturing environments.
The takeaway
Industrial firms looking to modernize can now leverage specialized agents to bridge the gap between operational technology and advanced AI models. Implementing edge-based processing allows companies to keep sensitive operational data localized while gaining automated insights into their production lines.
Further reading
Learn more about the latest innovations in Artificial Intelligence.
Live Poll
Do you trust that integrating artificial intelligence into industrial operations will lead to safer workplaces?
