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Fujitsu’s new distillation technology enables agentic AI deployment on smartphones and factory machinery by creating lightweight, power-efficient models that cuts memory consumption by 94%, and retains 89% accuracy

September 10, 2025 //  by Finnovate

Fujitsu has developed a new reconstruction technology for generative AI, which will strengthen the Fujitsu Takane LLM by creating lightweight, power-efficient AI models. The technology is based on two innovations: quantization and specialized AI distillation. The proprietary 1-bit quantization technology reduces memory consumption by 94% and maintains an 89% accuracy retention rate, allowing large generative AI models to operate on a single low-end GPU. The specialized AI distillation reduces model size and enhances accuracy beyond the original model. This lightweighting capability will enable the deployment of sophisticated agentic AI on devices like smartphones and factory machinery, improving real-time responsiveness, data security, and power consumption. Fujitsu plans to roll out trial environments for Takane in the second half of fiscal year 2025.

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Category: AI & Machine Economy, Innovation Topics

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