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Samsung partners Nota AI to power on-device AI on Exynos 2600 chip

by VARINDIA 2025-12-31

Samsung has expanded its partnership with South Korean AI firm Nota AI to enhance on-device artificial intelligence capabilities on its newly announced Exynos 2600 chipset. The collaboration aims to enable large AI models to run efficiently on smartphones without relying on cloud connectivity, providing faster, private, and power-efficient AI features for Galaxy flagship devices.

By integrating Samsung’s 2nm Gate-All-Around (GAA) Exynos 2600 processor with Nota AI’s model compression technology, the companies are set to optimise large AI workloads on mobile devices. The NetsPresso platform from Nota AI can shrink AI model sizes by up to 90 percent without compromising accuracy, allowing advanced offline AI functions to run seamlessly.

Advanced AI Capabilities on Smartphones

The partnership also extends to Samsung’s Exynos AI Studio toolchain, helping developers optimise and deploy AI models efficiently on Samsung hardware. Certain parts of the optimisation pipeline are being automated to simplify the deployment of modern generative AI models directly on mobile devices.

Samsung has previously collaborated with Nota AI on the Exynos 2400 and 2500 chipsets, and this continued partnership reinforces the synergy between Samsung’s hardware and Nota AI’s software solutions.

The Exynos 2600 comes with a 10-core CPU based on Arm v9.3 architecture, an Xclipse 960 GPU, and a new neural processing unit (NPU) delivering a 113 percent AI performance improvement over the Exynos 2500. Overall performance is claimed to be 39 percent higher than the previous generation. The chip also incorporates Heat Path Block technology to improve thermal management during sustained workloads such as gaming and AI processing.

Galaxy S26 Series to Feature Exynos 2600

The Exynos 2600 is expected to debut in the Galaxy S26 and Galaxy S26 Plus in select markets, while other regions may feature Qualcomm’s Snapdragon 8 Elite Gen 5 SoC. With Nota AI’s optimisation, users can expect enhanced offline AI features, including faster on-device processing and improved energy efficiency, marking a significant step forward in mobile AI integration.

This collaboration highlights Samsung’s ongoing focus on pushing the boundaries of mobile AI performance, combining cutting-edge hardware with advanced software optimisations to deliver richer AI experiences directly on smartphones.