Across Japan, leading banks and financial technology companies are building AI factories and models to deliver financial intelligence. Nvidia Nemotron open models and Nvidia Agent Toolkit are helping them turn regulated financial data into valuable intelligence.
In banking, the most powerful AI applications may not look like chatbots. They look like safer payments, smarter fraud detection, faster software development and more personalized financial services, all built on trusted data.
Mizuho plans to build what is expected to be the largest on-premises AI factory in Japan’s financial industry, starting with Nvidia DGX B200 systems and scaling toward a larger cluster. For a bank handling sensitive financial workloads, being on premises matters: it gives teams a foundation to develop agents with Nvidia Agent Toolkit and Nvidia NemoClaw blueprints, while keeping critical data close and secure.
With this secure foundation, Mizuho aims to safely expand the operational scope of these autonomous agents into core workflows, including information gathering, document creation, analysis and system development support, while ensuring rigorous governance and auditability.
As the core IT company of SMBC Group, the Japan Research Institute (JRI) deployed an AI factory to transform financial data into intelligence using NVIDIA Nemotron open models. As one of Japan’s largest financial groups, SMBC Group’s adoption shows how open models and accelerated infrastructure can help established institutions move AI from experimentation into production-ready enterprise workflows. The initiative serves as a foundation for scaling AI adoption across the SMBC Group, improving productivity, accelerating innovation and delivering better financial services to customers.
Rakuten Bank brings digital-native scale to the same transformation. Using the Rakuten Group’s ecosystem, which spans more than 70 services and includes over 18 million banking accounts, 33 million credit cards and 14 million brokerage accounts, Rakuten Bank will develop transaction foundation models built with NVIDIA Agent Toolkit, helping turn high-volume consumer financial data into specialized intelligence for banking services.
Ippu Senkin is collaborating with a financial institution to build sovereign financial intelligence with Nvidia Blackwell GPUs and Local AI Agent, a local coding agent developed by Ippu Senkin using Nvidia Agent Toolkit, Nemotron and NemoClaw for secure payment operations within the institution’s group. The effort points to a broader ecosystem motion with AI-native partners helping financial services companies build local agents and applications that can run on local AI factories.
Japan’s financial services industry is moving from model pilots to AI infrastructure that can support regulated, domain-specific intelligence. Banks need performance, governance and proximity to data; digital banks need model-building capacity at transaction scale; and AI-native partners need a platform for local financial agents.
Nvidia provides a full stack across those paths, from accelerated computing and AI factory architecture to Nemotron open models and Agent Toolkit for building agents and specialized financial intelligence.