Nvidia’s Tokyo AI Factory Marks a New Growth Frontier While Vera Rubin Production Gathers Pace
Published on 07/18/2026 at 09:42 | Redaktion boerse-global.de
Nvidia’s push into physical artificial intelligence took a decisive step forward on July 16, 2026, when the company unveiled a 140-megawatt “AI factory” in Japan built in partnership with SoftBank, Sony, NEC, and Honda under the banner of Noetra Corp. The facility will house 27,500 Rubin GPUs and 13,750 Vera CPUs, powering the government-backed FRONTia project aimed at developing multimodal AI models for robotics and industrial automation. CEO Jensen Huang, on a visit to Tokyo, described the venture as the cornerstone of what he calls “the next industrial revolution,” positioning Japan as a hub for AI that interacts with the physical world.
The deal comes during a week when Nvidia’s stock lost some ground. Shares closed at €177.46 on Friday, a decline of 3.97% over the week, reflecting a broader revaluation across the semiconductor sector. Yet the year-to-date picture remains positive: the stock is up 10.72% since January, though it sits 12.37% below the 52-week high of €202.50 reached in mid-May. The market is weighing short-term sector fatigue against the long-term demand story tied to the upcoming Rubin chip cycle, which Nvidia promises will cut inference costs dramatically compared with the Blackwell generation.
To support the stock against these crosscurrents, Nvidia has been returning capital aggressively. In May 2026 the board authorized an additional $80 billion in share repurchases, bringing the total buyback programme to roughly $118 billion. The quarterly dividend was also raised this year to $0.25 per share. The cash engine behind these moves is a revenue surge: in the first quarter of fiscal 2027, Nvidia posted $81.61 billion in sales, up 85.2% year over year. A growing slice of that growth now comes from physical AI, which generated around $6 billion in fiscal 2026, driven by advances in mobility networks and robotics.
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On the hardware front, the Vera Rubin platform is moving faster than originally expected. Jensen Huang confirmed on July 15 that mass production is already under way and that “enormous quantities” are set to ship. First deliveries to major North American cloud providers began in July, with broader availability for partners planned in the second half of 2026. Each Rubin GPU packs 336 billion transistors, 288 GB of HBM4 memory, and a bandwidth of 22 TB per second — 2.8 times that of Blackwell. The architecture is designed to lower inference costs tenfold and training costs by a quarter, targeting the agent-based and physical AI workloads that extend Nvidia’s addressable market beyond conventional hyperscalers.
Still, risks linger. Qualifying SK Hynix’s HBM4 memory and TSMC’s N3 process nodes remains a potential bottleneck, and a supply hiccup could cap available Rubin units this year. Competition is also tightening: AMD, Intel, and Broadcom are pushing their own accelerator designs, while hyperscalers like Google and AWS continue to develop custom chips for inference workloads. The shift toward inference could open doors for cheaper, more energy-efficient alternatives. Nvidia’s dominant 80–90% share of the AI accelerator market remains underpinned by the CUDA ecosystem, but any material delay in Rubin deliveries would test investor patience.
Analysts have set a consensus price target of €264.07, implying a 49% upside from current levels — a vote of confidence that hinges on Nvidia converting production commitments into tangible revenue. The RSI of 48.6 suggests the stock is neutrally positioned, leaving room for a directional move once the next quarterly results confirm whether Rubin shipments are on track and the Japan factory begins to contribute. For now, the company is betting that physical AI and a disciplined rollout of next-generation silicon will lift the stock above the uncertainty that hangs over the sector.
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