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「国産モデル」生成AIが本格稼働

11/1/2026

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学習から推論までを国内で完結できる「国産モデル」が待ち望まれていますが、これまでは性能が今一つでした。しかし、経済産業省およびNEDOが主導する「GENIAC(Generative AI Accelerator Challenge)」プロジェクトが第3期を迎え、計算資源の提供が実用レベルの基盤モデル創出に寄与してきています。
2026年は、「国産モデル」が、実証実験(PoC)のフェーズを脱却し、金融、製造、自治体、医療といった領域で本格稼働することが確実視されています。
これら「国産モデル」生成AIについて、生成AIに深堀させました。さらに、結果をNotebookLMでインフォグラフィック、スライド資料にさせました。
なお、生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。
 
“Domestic Models” of Generative AI Enter Full-Scale Operation
There has long been strong demand for “domestic models” of generative AI that can complete the entire process—from training to inference—within Japan. Until recently, however, their performance had been somewhat underwhelming. That situation is now changing as the GENIAC (Generative AI Accelerator Challenge) project, led by the Ministry of Economy, Trade and Industry (METI) and NEDO, has entered its third phase, with the provision of computational resources contributing to the creation of practical, foundation-level models.
In 2026, it is widely expected that these “domestic models” will move beyond the proof-of-concept (PoC) phase and begin full-scale deployment across fields such as finance, manufacturing, local government, and healthcare.
I asked generative AI to conduct an in-depth analysis of these “domestic model” generative AI systems. In addition, the results were converted into infographics and slide materials using NotebookLM.
Please note that the research and analysis conducted by generative AI are based solely on publicly available information. As such, they may not necessarily reflect actual conditions and may contain inaccuracies. Please keep this in mind when referring to the results.

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    著者

    萬秀憲

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