Schneider Electric Unveils Two New Nvidia-Developed Products for AI Infrastructure Deployment
ByAinvest
Thursday, Sep 18, 2025 8:42 am ET1min read
NVDA--
The first reference design, which includes Schneider Electric's Motivair liquid cooling technologies, provides a seamless management framework for complex AI infrastructure components. It integrates with NVIDIA Mission Control, NVIDIA's AI factory operations and orchestration software, enabling operators to manage their power and liquid cooling systems efficiently. This design is particularly useful for data centers that require advanced, AI-ready infrastructure solutions.
The second reference design, specifically for NVIDIA GB300 NVL72 racks, supports the deployment of AI infrastructure for AI factories. It includes detailed information on facility power, cooling, IT space, and lifecycle software, ensuring that data centers can effectively manage high-density AI clusters. This design is particularly relevant for operators looking to deploy NVIDIA's next-generation Blackwell Ultra architecture.
These new reference designs are part of Schneider Electric's ongoing collaboration with NVIDIA to meet the data center industry's most pressing AI demands. Schneider Electric's commitment to developing advanced, energy-efficient, and resilient high-performance data center architectures is evident in these designs. The company has developed nine AI reference designs for various scenarios, including prefabricated modules, retrofit data centers, and AI infrastructure purpose-built for NVIDIA GB200 NVL72 and NVIDIA GB300 NVL72-based clusters.
Schneider Electric's fully engineered reference designs are designed to optimize cost, efficiency, and reliability, ensuring that data center operators can design and incorporate next-generation power and liquid cooling controls infrastructure before the newest AI infrastructure solutions even arrive. These designs are particularly useful in the current AI-driven landscape, where the demand for high-performance computing resources is surging.
Schneider Electric has developed two new products with Nvidia to help deploy AI infrastructure. The first model provides a unified framework for managing power and liquid cooling, while the second model supports up to 142 kW per rack and is compatible with Nvidia's Blackwell Ultra architecture. Both designs comply with American and international standards.
Schneider Electric, a global leader in energy management and automation, has announced two new reference designs in collaboration with NVIDIA. These designs are aimed at accelerating the deployment of AI infrastructure and addressing the growing demand for high-density, GPU-accelerated AI clusters. The first reference design focuses on integrated power management and liquid cooling control systems, while the second design supports the deployment of NVIDIA GB300 NVL72-based clusters with a maximum rack density of 142 kW. Both designs are designed to comply with American National Standards Institute (ANSI) and International Electrotechnical Commission (IEC) standards.The first reference design, which includes Schneider Electric's Motivair liquid cooling technologies, provides a seamless management framework for complex AI infrastructure components. It integrates with NVIDIA Mission Control, NVIDIA's AI factory operations and orchestration software, enabling operators to manage their power and liquid cooling systems efficiently. This design is particularly useful for data centers that require advanced, AI-ready infrastructure solutions.
The second reference design, specifically for NVIDIA GB300 NVL72 racks, supports the deployment of AI infrastructure for AI factories. It includes detailed information on facility power, cooling, IT space, and lifecycle software, ensuring that data centers can effectively manage high-density AI clusters. This design is particularly relevant for operators looking to deploy NVIDIA's next-generation Blackwell Ultra architecture.
These new reference designs are part of Schneider Electric's ongoing collaboration with NVIDIA to meet the data center industry's most pressing AI demands. Schneider Electric's commitment to developing advanced, energy-efficient, and resilient high-performance data center architectures is evident in these designs. The company has developed nine AI reference designs for various scenarios, including prefabricated modules, retrofit data centers, and AI infrastructure purpose-built for NVIDIA GB200 NVL72 and NVIDIA GB300 NVL72-based clusters.
Schneider Electric's fully engineered reference designs are designed to optimize cost, efficiency, and reliability, ensuring that data center operators can design and incorporate next-generation power and liquid cooling controls infrastructure before the newest AI infrastructure solutions even arrive. These designs are particularly useful in the current AI-driven landscape, where the demand for high-performance computing resources is surging.

Stay ahead of the market.
Get curated U.S. market news, insights and key dates delivered to your inbox.
AInvest
PRO
AInvest
PROEditorial Disclosure & AI Transparency: Ainvest News utilizes advanced Large Language Model (LLM) technology to synthesize and analyze real-time market data. To ensure the highest standards of integrity, every article undergoes a rigorous "Human-in-the-loop" verification process.
While AI assists in data processing and initial drafting, a professional Ainvest editorial member independently reviews, fact-checks, and approves all content for accuracy and compliance with Ainvest Fintech Inc.’s editorial standards. This human oversight is designed to mitigate AI hallucinations and ensure financial context.
Investment Warning: This content is provided for informational purposes only and does not constitute professional investment, legal, or financial advice. Markets involve inherent risks. Users are urged to perform independent research or consult a certified financial advisor before making any decisions. Ainvest Fintech Inc. disclaims all liability for actions taken based on this information. Found an error?Report an Issue

Comments
No comments yet