Japan's Enterprises Build Industry-Specialized AI With NVIDIA Nemotron Open Models

Japanese Enterprises Adopt NVIDIA Nemotron for Localized AI Development

NVIDIA announced that leading Japanese enterprises and startups are building industry-specialized AI models using NVIDIA Nemotron open models, data and libraries 1

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. The initiative addresses Japan's demographic challenges and workforce transition by enabling organizations to develop AI tailored to Japan's language, industries and specific business needs. Jensen Huang, NVIDIA's founder and CEO, emphasized that open models give countries and enterprises the freedom to inspect, improve, adapt, secure and deploy AI for their own needs, stating that "every nation and every company should own and control its intelligence infrastructure" 1

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Research Institutions Advance Sovereign AI Capabilities

The Institute of Science Tokyo developed its Swallow models using NVIDIA Nemotron datasets and the NVIDIA NeMo software stack for continual pretraining and post-training 1

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. These Swallow models enhance Japanese language and reasoning performance while preserving core English, math and coding capabilities. Enterprises are customizing and deploying these models for specialized use cases, including financial-document translation and asset-management report generation 2

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. SB Intuitions, SoftBank Corp.'s generative AI research subsidiary, trained its Sarashina series of homegrown generative AI models using NVIDIA Nemotron, including the NVIDIA NeMo RL and Megatron-LM libraries 1

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. The Sarashina3 mini has been selected by Japan's Digital Agency for use in specialized AI use cases, while SoftBank Corp. has developed and deployed a large telco model to enable autonomous telecom network operations 2

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Enterprise Applications Transform Critical Industries

Stockmark released a specialized Japanese-language document-understanding model based on the NVIDIA Nemotron 3 Nano Omni model, serving customers across Japan's manufacturing, energy and chemical industries through Japan's Generative AI Accelerator Challenge national project 1

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. The company is developing enterprise knowledge applications using NVIDIA NeMo Retriever and the Nemotron-Personas-Japan dataset 2

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. AI and robotics startup avatarin is using Nemotron open models and NVIDIA NeMo to develop Japanese-language speech and reasoning capabilities for enterprise AI agents. NVIDIA HGX B300 systems provide the private AI infrastructure that enables those agents to securely analyze customer conversations and access enterprise knowledge, while NVIDIA Jetson powers edge AI capabilities, including digital avatar systems being deployed at airports and other locations across Japan 1

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Agentic AI Workflows Accelerate Research and Operations

ENEOS Holdings is using Nemotron open models with the NVIDIA AI-Q Blueprint and NVIDIA ALCHEMI NIM microservices to advance agentic AI workflows for energy and materials R&D 2

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. Researchers are integrating technical document search, vision and language understanding, and simulation-backed molecular screening to accelerate materials exploration for applications such as immersion-cooling fluids and advanced catalysts 1

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. NTT DATA used NVIDIA Nemotron-Personas-Japan to augment training data for its proprietary tsuzumi 2 model, improving question-answering accuracy and enhancing responses to questions requiring additional knowledge 2

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. The company is looking to deploy a scalable multi-agent framework harnessing NVIDIA Agent Toolkit to route tasks to the best models and drive accurate, efficient and autonomous enterprise workflows 1

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Physical AI Technologies and Model Orchestration Expand Capabilities

Hitachi is developing physical AI technologies to address real-world operational challenges by using NVIDIA Nemotron and NVIDIA Cosmos open models, along with its proprietary IT and operational technology domain knowledge 2

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. These technologies are designed to connect and coordinate IT and OT operations as part of a multi-agent orchestration platform, helping transform enterprise-scale business processes across complex workflows 1

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. Sakana AI is collaborating with NVIDIA to integrate NVIDIA Nemotron into its Fugu model-orchestration platform, expanding the range of AI models Fugu can intelligently orchestrate to dynamically select the best model for each task in agentic AI workflows 2

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. By routing each request to the model best suited for the job, Fugu helps developers balance accuracy, performance and cost across multiple open and proprietary AI models. Nemotron models are released with open weights, datasets and recipes, giving organizations the transparency and control to customize models for domain-specific workflows and deploy them where their applications and data reside. The models are available on Hugging Face, ModelScope, OpenRouter and build.nvidia.com as NVIDIA NIM microservices 1

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