Japan and Nvidia unveil $2.4B national AI infrastructure with 27,500 Rubin GPUs for robotics

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Japan is building what Nvidia calls the world's first national AI infrastructure for physical AI, deploying 27,500 Rubin GPUs in a 140-megawatt facility. The Noetra consortium, backed by SoftBank, Sony, NEC, and Honda, will develop open multimodal foundation models for robotics and industrial automation with ¥387.3 billion in first-year funding.

Japan AI Takes Shape With Massive Nvidia Partnership

Nvidia has announced a partnership with Japan's Noetra Corp to build what it describes as the world's first national AI infrastructure dedicated to physical AI

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. The AI factory will house 27,500 Nvidia Rubin GPUs and 13,750 Vera CPUs across 140 megawatts of data center capacity, providing the computing foundation for Japan's FRONTia Project

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. Jensen Huang, Nvidia's founder and CEO, declared that "Japan invented modern manufacturing. Now, it is building the AI factories that will power the next industrial revolution"

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The facility will be constructed using Vera Rubin NVL72 racks on Nvidia's DSX platform, connected with Spectrum-X Ethernet networking

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. These systems will train open multimodal foundation models for AI for robots, digital twins, and industrial automation, with pretrained weights shared broadly with domestic developers

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Source: Tom's Hardware

Source: Tom's Hardware

Noetra Corp Leads Ambitious Industrial Consortium

Noetra Corp is not a government body but a private consortium majority-owned by SoftBank, NEC, Sony Group, and Honda, with investment from 44 companies and organizations

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. The consortium and the national research institute AIST won a NEDO public tender on June 30 to run the FRONTia project from fiscal 2026 through fiscal 2030

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. Initial funding stands at ¥387.3 billion, roughly $2.4 billion, with potential expansion to ¥1 trillion (approximately $6.1 billion) over five years

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Hironobu Tamba, CEO of Noetra Corp, emphasized that "bringing physical AI into the real world requires enormous computing, data and foundational technologies -- challenges no single company can solve alone"

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. However, funding beyond the first two years is subject to annual stage-gate reviews, making the full ¥1 trillion a ceiling rather than a guarantee

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Physical AI Strategy Targets Global Robotics Market

The Ministry of Economy, Trade and Industry (METI) is backing this initiative as part of Japan's broader AI Robotics Strategy, released in March, which targets more than 30% of the global AI robotics market by 2040

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. This represents an estimated $133 billion opportunity

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. METI has also set a separate target of deploying 10 million AI-equipped robots across 18 sectors by the same year

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Ryosei Akazawa, Japan's Minister of Economy, Trade and Industry, stated that "Japan has launched the FRONTia Project, which will serve as the core of the country's physical AI ecosystem" [3](https://nvidianews.nvidia.com/news/japan-government-industrial-leaders and-nvidia-launch-the-worlds-first-national-ai-infrastructure). The strategy combines foreign technology with domestic strengths, leveraging Japan's onsite expertise and manufacturing technology infrastructure

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Massive Hardware Investment With Unclear Total Cost

The chip counts divide exactly into 382 Vera Rubin NVL72 racks, each housing 72 Rubin GPUs and 36 Vera CPUs

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. While neither company disclosed the project's total cost, VR200 NVL72 systems are currently quoted at $5 million to $7 million apiece, placing the rack hardware alone somewhere between $1.9 billion and $2.7 billion

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. Morgan Stanley estimates Nvidia will charge $55,000 per Rubin GPU in volume, pricing the GPU silicon at roughly $1.5 billion before memory, networking, and cooling

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Noetra plans to begin construction in April 2027 and start operations in June 2028

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. No deployment timeline was provided in the initial announcement, but Rubin racks are only expected to reach volume production in the second half of this year

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. As the AI factory expands, it will support training trillion-parameter-scale AI models

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Strategic Implications for Japan and Global AI Competition

This marks a strategic shift in how nations approach AI sovereignty. Japan is not attempting to build a frontier lab but instead putting intelligence into machines it already knows how to manufacture

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. The approach means owning the models and deployment while relying on American silicon, a trade-off that contrasts sharply with Europe's ongoing debates about technological sovereignty

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The pretrained weights of Noetra's multimodal foundation models will be made broadly available to domestic model developers and enterprises alongside software such as Nvidia Nemotron, Nvidia Cosmos, Nvidia Isaac GR00T open models, and Nvidia NeMo libraries

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. This follows Nvidia's earlier announcement this week that signed most of Japan's robotics establishment up to Nvidia's open world models

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. The AI factory follows SoftBank's Blackwell-based DGX supercomputer announced in 2024 and FugakuNEXT, but it represents the first state-tendered national AI infrastructure rather than a corporate or scientific machine

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