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Schneider Electric and AMD introduce the Helios platform reference design, helping accelerate AI factory deployment through advanced power, cooling, automation, and data center infrastructure solutions.

Schneider Electric and AMD Collaborate on Helios Platform Reference Design to Advance AI Factory Infrastructure

**Schneider Electric and **AMD have announced the launch of the first Helios platform reference design, a major step toward accelerating the deployment of next-generation AI factories.

The cooperation combines Schneider Electric’s expertise in energy management, data center infrastructure, and industrial solutions with AMD’s high-performance computing technologies, providing a framework for enterprises seeking to build scalable AI infrastructure.

AI Factories Create New Requirements for Industrial Infrastructure

The rapid growth of artificial intelligence applications is driving a new generation of computing infrastructure.

Unlike traditional data centers, AI factories require significantly higher levels of:

• Computing power
• Energy capacity
• Thermal management
• Network performance
• Infrastructure reliability

AI workloads such as large-scale model training, industrial AI applications, and intelligent automation require advanced infrastructure capable of supporting high-density computing environments.

Helios Platform Reference Design Supports AI Infrastructure Development

The Helios platform reference design is designed to help organizations simplify the planning and deployment of AI factory infrastructure.

The solution focuses on critical areas including:

• Power distribution systems
• High-density computing infrastructure
• Thermal management technologies
• Data center architecture optimization
• Scalable deployment models

By providing a reference approach, companies can reduce engineering complexity and accelerate the implementation of AI-ready facilities.

Schneider Electric Brings Energy and Cooling Expertise to AI Factories

As AI computing demand continues to increase, power management and cooling efficiency have become essential challenges.

Schneider Electric provides technologies supporting:

Intelligent Power Management

AI factories require stable and efficient electrical systems.

Advanced power solutions can help improve:

• Energy reliability
• Power distribution efficiency
• Operational visibility
• Infrastructure scalability

Advanced Thermal Management

High-performance AI servers generate significant heat.

Effective cooling solutions are essential for:

• Maintaining equipment performance
• Improving energy efficiency
• Supporting higher computing density
• Reducing operational risks

AMD Enables High-Performance AI Computing Applications

AMD continues to develop advanced computing technologies for AI and high-performance workloads.

AMD solutions support applications including:

• Artificial intelligence training
• Machine learning
• Industrial analytics
• Cloud computing
• Enterprise AI deployment

The combination of AMD computing technologies and Schneider Electric infrastructure solutions provides a foundation for organizations building future AI environments.

AI Factories Accelerate Industrial Digital Transformation

AI factories are becoming an important part of industrial transformation.

Manufacturing companies are increasingly adopting AI technologies for:

• Predictive maintenance
• Quality inspection
• Process optimization
• Autonomous production
• Digital engineering

However, successful AI deployment requires not only AI models but also reliable infrastructure supporting computing, energy, and data management.

Collaboration Between Energy Infrastructure and AI Technology Becomes Critical

The development of AI infrastructure requires cooperation across multiple technology areas, including:

• Semiconductor technology
• Electrical systems
• Cooling solutions
• Industrial automation
• Digital platforms

The Schneider Electric and AMD collaboration reflects an industry trend toward integrated solutions that combine computing capabilities with infrastructure expertise.

Supporting Sustainable AI Development

As AI adoption expands, companies are also focusing on sustainability challenges.

AI infrastructure providers are working to improve:

• Energy efficiency
• Carbon reduction
• Resource utilization
• Facility optimization

Smart energy management and efficient cooling technologies will play an increasingly important role in reducing the environmental impact of AI growth.

Industry Outlook: AI Factory Infrastructure Will Shape Future Manufacturing

The rise of AI factories represents a major shift in industrial technology development.

Future industrial facilities will increasingly depend on:

• Artificial intelligence
• High-performance computing
• Intelligent energy systems
• Automated operations
• Digital infrastructure platforms

The Schneider Electric and AMD Helios platform reference design demonstrates how collaboration between energy management and computing technology companies can accelerate the transition toward AI-powered industrial ecosystems.