Nota AI will provide its optimization technology for Samsung Electronics’ Exynos 2600 mobile processor. This choice highlights Nota AI’s rising role in the on-device AI space. The deal continues a partnership that started with the Exynos 2500. It shows Samsung’s trust in Nota AI’s optimization skills.
The Seoul-based company focuses on compressing and optimizing AI models. This ensures they run well on edge devices without losing accuracy. Its unique NetsPresso® platform cuts model size by over 90% while keeping performance. This allows advanced AI applications to work on various hardware types. By securing consecutive contracts across multiple Exynos generations, Nota AI has positioned itself as a key technology provider for Samsung’s mobile AI roadmap.
Nota AI will help develop the next version of Exynos AI Studio, Samsung’s tool for optimizing AI models. This partnership aims to let large generative AI models run directly on the Exynos 2600 with high precision. At the same time, Nota AI will improve automation in the optimization pipeline. This will make deployment easier for developers and speed up support for the latest AI models. These upgrades will provide faster, more powerful on-device generative AI experiences without needing cloud connectivity.
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“This ongoing collaboration, which has continued since the Exynos 2400, proves that Nota AI’s technology creates tangible value when combined with Samsung‘s hardware,” said Myungsu Chae, CEO of Nota AI. “We are committed to establishing our technology as an indispensable pillar of the on-device AI era through continuous cooperation with global partners and proactive commercialization.”
With more than a decade of expertise in AI model lightweighting, Nota AI delivers specialized on-device solutions across sectors such as mobile devices, robotics, consumer electronics, autonomous driving, healthcare, education, and smart cities. The company’s growing footprint within the products of global manufacturers highlights both its technical depth and its ability to translate innovation into commercial success, as demand for efficient, privacy-preserving on-device AI continues to rise worldwide.