As generative AI moves from chatbots to real-world applications like autonomous vehicles, robotics, and social infrastructure control, the demand for high-performance processing is shifting. To meet these needs, NTT has announced 'AIOWN,' an AI-native infrastructure strategy designed to support the physical world.

Unlike traditional server expansion, AIOWN creates a holistic environment by integrating GPU resources, high-capacity low-latency networks, and optimized power delivery. Think of it as a dedicated 'AI highway' that allows models to operate seamlessly in the background as an essential utility.

A key feature of AIOWN is its unified management spanning from the edge—where data originates—to the core. By processing complex inference tasks closer to the source, the system minimizes latency while ensuring better security for sensitive information.

To address the thermal challenges of modern, high-powered GPUs, NTT is standardizing liquid cooling technology. This method is significantly more efficient than air cooling, aiming to reduce energy consumption by up to 60%. This approach balances the need for massive computational performance with a commitment to environmental sustainability.

Supporting this shift, NTT plans a massive expansion of its data centers across Japan. The company aims to grow its current IT power capacity from approximately 300 megawatts to over one gigawatt by 2033. This includes building next-generation, liquid-cooling-ready facilities in central Tokyo, slated to come online by fiscal year 2029.

This strategic pivot symbolizes the evolution of AI from a specialized tool to a fundamental layer of modern society. By treating the data center not merely as a storage facility but as a dynamic 'brain' for AI performance, NTT is setting the stage to define the competitiveness of the domestic AI industry for years to come.

As generative AI moves from chatbots to real-world applications like autonomous vehicles, robotics, and social infrastructure control, the demand for high-performance processing is shifting. To meet these needs, NTT has announced 'AIOWN,' an AI-native infrastructure strategy designed to support the physical world.

Unlike traditional server expansion, AIOWN creates a holistic environment by integrating GPU resources, high-capacity low-latency networks, and optimized power delivery. Think of it as a dedicated 'AI highway' that allows models to operate seamlessly in the background as an essential utility.

A key feature of AIOWN is its unified management spanning from the edge—where data originates—to the core. By processing complex inference tasks closer to the source, the system minimizes latency while ensuring better security for sensitive information.

To address the thermal challenges of modern, high-powered GPUs, NTT is standardizing liquid cooling technology. This method is significantly more efficient than air cooling, aiming to reduce energy consumption by up to 60%. This approach balances the need for massive computational performance with a commitment to environmental sustainability.

Supporting this shift, NTT plans a massive expansion of its data centers across Japan. The company aims to grow its current IT power capacity from approximately 300 megawatts to over one gigawatt by 2033. This includes building next-generation, liquid-cooling-ready facilities in central Tokyo, slated to come online by fiscal year 2029.

This strategic pivot symbolizes the evolution of AI from a specialized tool to a fundamental layer of modern society. By treating the data center not merely as a storage facility but as a dynamic 'brain' for AI performance, NTT is setting the stage to define the competitiveness of the domestic AI industry for years to come.