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Accelerated innovation: AI-Ready data centre solutions broadcast

Be the first to see how we’re solving today’s toughest AI energy challenges. 

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Schneider and NVIDIA partner on AI reference design

Schneider Electric and NVIDIA’s expert teams have partnered to create a comprehensive reference design – one that includes facility power, facility cooling, IT space, and lifecycle software. This reference design will enable customers to prepare their data centre infrastructure to embrace the coming technology innovations – whether retrofitting an existing facility or planning a new data centre build.
Schneider Electric and NVIDIA AI data reference design

Ways to deploy AI data centres

Capitalise on our large training cluster solutions

We enable the creation of large training clusters that maximise processing power and offer high density. Equip workloads with efficient liquid cooling systems and advanced software to manage higher densities and mitigate downtime risk. We also introduce customisable reference designs for up to 100kW per rack.
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Benefits of a dedicated data centre for AI

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Computing power

AI-optimised data centres handle large AI computing requirements.

Efficiency

Advanced cooling systems reduce energy consumption and lower costs.
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Scalability

AI capabilities grow with no worry about infrastructure limitations.

Discover our software, products, and services for Data Centres and Networks

Unlock the power of data-driven decisions with our apps, analytics, and services. Gain valuable insights to make smart energy and sustainability choices that will impact your business operations.

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Discover more about AI data centres

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What is an AI data centre? 

The AI data centre is a facility that stores a network of computing systems and infrastructure that support the high-demanding needs of artificial intelligence (AI) and machine learning applications. The goal of these data centres is to streamline the collection of information and then its processing to efficiently generate responses to prompts entered by the users. The data centre for AI needs to have advanced hardware such as graphics processing units, field-programmable gate arrays, application-specific integrated circuits, and many other equipment that optimise the processing and allow for complex computational tasks that are connected to AI operation.

What are AI data centre solutions?

Solutions that enable AI-ready data centres encompass numerous technologies, services, as well as strategies that optimise the infrastructure of data centres. The goal is to effectively support both AI and machine learning workloads. AI data centre design consists of hardware components in the form of AI-optimised servers as well as storage systems that are adapted to the specific operational conditions in which such systems work. Additionally, AI-specific data centres require top-quality networking equipment as well as software solutions like AI frameworks, libraries, or even development tools that can ensure efficient training, deployment, and then management of AI models.  

How can our solutions help you develop your AI data centre?

Our solutions, which are specifically designed to accommodate the needs of inference and training workloads, address challenges and requirements of developing, upgrading, and maintaining AI data enters. With our expertise and technology offerings, your business can benefit from optimised hardware and software configurations that are specifically tuned for AI workloads and their needs. Our services also include webinars that can broaden your knowledge of AI data centre solutions and show how to enhance your infrastructure and make it scalable, resilient, and energy efficient. Our expertise also includes comprehensive support services, consultation, deployment, and ongoing management of AI data centre infrastructure.