According to NVIDIA's Japanese blog, NVIDIA will work with Noetra Corp. to build a Vera Rubin AI factory composed of 13,750 Vera CPUs and 27,500 Rubin GPUs, based on the NVIDIA DSX platform, delivering 140 megawatts of data center capacity (E1). NVIDIA's official newsroom confirms the same configuration, describing the facility as designed "for national physical AI" (E8).
The facility is built on the NVIDIA Vera Rubin DSX AI factory architecture and will combine 140 megawatts of data center capacity with the NVIDIA Spectrum-X Ethernet networking platform and NVIDIA BlueField DPUs, alongside tightly codesigned silicon, systems and software, according to NVIDIA's newsroom statement (E10). NVIDIA's Japanese blog reiterates that the 140-megawatt capacity is the headline figure for the deployment (E2).
| Component | Value | Source |
|---|---|---|
| Vera CPUs | 13,750 | E1, E8 |
| Rubin GPUs | 27,500 | E1, E8 |
| Data center capacity | 140 megawatts | E2, E10 |
According to NVIDIA's Japanese blog, the project has backing from Japan's Ministry of Economy, Trade and Industry (METI) and will provide the computing foundation for Japan's FRONTia program, aimed at strengthening the country's ecosystem across manufacturing, logistics and healthcare (E3). NVIDIA's official newsroom states the initiative, supported by Japan's AI and industry leaders, "marks the world's first national AI infrastructure for physical AI," extending the ecosystem to telecommunications as well (E9).
Japan's Minister of Economy, Trade and Industry Ryosei Akazawa said Japan has launched the FRONTia program, which "will become the core of Japan's physical AI ecosystem," adding that by fostering collaboration between Japan and global innovators including NVIDIA, and by leveraging Japan's strengths in field expertise and manufacturing infrastructure, the country aims to build highly reliable multimodal foundation models to help address global societal challenges (E4).
Minister Akazawa's remarks, cited above, frame FRONTia as central to a national physical AI ecosystem built on partnerships with global innovators like NVIDIA (E4). NVIDIA founder and CEO Jensen Huang said, according to the company's Japanese blog, that NVIDIA is honored to work with Japan and its industry leaders to build the AI infrastructure that will drive Japan's industry, economy and next generation of innovation (E5).
NVIDIA's official newsroom quotes Huang more directly: "Japan invented modern manufacturing. Now, it is building the AI factories that will power the next industrial revolution" (E11).
According to NVIDIA's Japanese blog, Noetra CEO Hiroyuki Tanba said that bringing physical AI into the real world requires massive computing, data and foundational technology — challenges that cannot be solved by any single company alone. He said Noetra will work with partners in Japan and globally to advance multimodal foundation models developed in Japan, and will accelerate the deployment of physical AI across Japanese industries by widely sharing research results (E6).
This framing connects to the broader national-infrastructure ambition described elsewhere: NVIDIA's newsroom notes the initiative is positioned as the world's first national AI infrastructure specifically built for physical AI, spanning manufacturing, logistics, healthcare and telecommunications (E9) — the scale of ecosystem coordination Tanba's comments suggest is necessary.
According to NVIDIA's Japanese blog, Japan released its AI Robotics Strategy in March, setting a goal of capturing more than 30% of the global AI robotics market by 2040, representing an estimated $133 billion (1,330億美元) opportunity (E7). NVIDIA's official newsroom repeats the identical figures, describing the strategy as targeting "more than 30% of the global AI robotics market by 2040, representing an estimated $133 billion opportunity" (E12).
| Metric | Value | Source |
|---|---|---|
| Target global market share by 2040 | >30% | E7, E12 |
| Estimated market opportunity | $133 billion (1,330億美元) | E7, E12 |
The figures disclosed across NVIDIA's two announcements are consistent rather than contradictory: the 13,750 Vera CPU / 27,500 Rubin GPU / 140-megawatt configuration described in the Japanese blog (E1, E2) matches the specifications in NVIDIA's global newsroom release (E8, E10), and the $133 billion / 30% market-share target for 2040 is repeated verbatim across both sources (E7, E12). Together, the hardware scale of the Vera Rubin factory and the FRONTia program's mandate (E3, E9) form the infrastructure layer that Minister Akazawa (E4) and Noetra's Tanba (E6) both describe as necessary before Japan's stated AI robotics ambitions can be pursued — though the evidence pack stops short of quantifying how much of that $133 billion opportunity this specific facility is expected to enable.
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