Samsung and Nota AI Partner to Drive On-Device Generative AI with Exynos Optimization

Samsung Electronics’ System LSI Business has officially signed a technology collaboration agreement with Nota AI to enhance the performance of generative AI on mobile devices. The partnership integrates Nota AI’s specialized model compression and optimization technology into Samsung's Exynos AI Studio. This move establishes the technological foundation required to run sophisticated AI models directly on the latest Exynos 2500 application processors.

The integration allows developers to optimize AI models with significantly higher efficiency compared to previous generations. By using Nota AI’s technology, the Exynos AI Studio toolchain enables a more powerful on-device experience that operates without cloud connectivity. This results in faster response times, improved privacy, and better battery efficiency for the next generation of smartphones.

Beyond the immediate application for the Exynos 2500, the collaboration has already extended to the upcoming Exynos 2600. This future-facing roadmap focuses on automating optimization pipelines for the first 2nm mobile processors. By converging hardware design with software optimization, Samsung aims to maximize the potential of its internal Neural Processing Units.

Nota AI CEO Myungsu Chae emphasized that this collaboration is a breakthrough for bringing high-performance generative AI to globally commercialized consumer devices. He noted that the partnership represents a tightly integrated framework where hardware and software work in tandem. The company aims to continue expanding the on-device AI ecosystem alongside global partners to deliver tangible market impact.

Following its successful listing on the Korea Exchange, Nota AI is leveraging its new capital to expand across North America and Europe. The company has previously attracted strategic investments from major industry players like LG, NAVER, and Samsung itself. This latest milestone validates its technological leadership and its ability to scale AI solutions for mass-market products like Exynos processors.