Samsung Electronics has deepened its collaboration with the South Korean company Nota AI, a specialist in artificial intelligence optimization. The new agreement aims to integrate advanced Nota AI technology directly into the Exynos 2600 processor, which is expected to be the heart of part of the Galaxy S26 line, scheduled for launch in early 2026. The partnership focuses on implementing the NetsPresso platform, a software solution capable of drastically reducing the size of large language models (LLMs) and other AI models.
The main objective of the technology is to allow complex generative AI functions to be executed directly on smartphone hardware, eliminating dependence on cloud servers. Essa approach, known as “on-device AI”, represents a significant leap forward in terms of processing speed, user privacy and energy efficiency as data is processed locally. The technology promises compression of up to 90% in AI models without compromising the accuracy of the results, enabling sophisticated features that were previously unfeasible on mobile devices.
The collaboration is not new, but an extension of joint work that had already been applied in previous generations, such as the Exynos 2400 and 2500 chips. With the Exynos 2600, manufactured with modern 2-nanometer lithography and gate-all-around (GAA) transistors, the expectation is for an increase in AI performance that could reach 113% compared to its predecessor. Essa synergy between hardware and software positions Samsung to compete directly with other industry giants in the field of embedded artificial intelligence.
The practical benefits of this optimization are vast and directly impact the user experience. Entre the main advantages include the local execution of tasks, which guarantees more agile and instantaneous responses; reducing battery consumption, as cloud processing is more energy demanding; increased privacy, by avoiding sending sensitive data to external servers; and the availability of advanced features even in areas without an internet connection.
Advances in the NetsPresso platform
The NetsPresso platform, developed by Nota AI, is the central pillar of this collaboration, functioning as an automated optimization engine for artificial intelligence models. Sua main function is to compress complex and heavy models, making them light enough to run efficiently on resource-limited hardware, such as a smartphone. Para achieve an impressive reduction of up to 90% in model size, the platform uses a set of advanced techniques, including quantization, which reduces the numerical precision of model parameters without major loss of accuracy; pruning, which removes redundant or low-impact neural connections; and knowledge distillation, where a smaller, more efficient model is trained to mimic the behavior of a larger, more complex model. NetsPresso’s biggest differentiator is its ability to automate this entire pipeline, allowing developers to implement state-of-the-art AI models quickly and adapted to the specific hardware of the Exynos, maintaining a high level of accuracy in the results.
Exynos 2600 Specifications and Power
The Exynos 2600 is being designed to be one of the most advanced processors on the market, with a special focus on AI performance and efficiency. Manufacturing using the 2-nanometer process with gate-all-around (GAA) technology already represents a substantial advance, allowing for greater transistor density and lower power consumption. Sua Unidade of Processamento Neural (NPU) has been enhanced to support advanced instructions such as SME2, significantly accelerating machine learning tasks.
In addition to the NPU, the chip will feature a 10-core CPU based on an updated Arm architecture, which promises to deliver up to a 39% gain in overall processing performance. Para graphics, the bet is on the Xclipse 960 GPU, developed based on AMD’s RDNA 4 architecture, which will bring significant gains in rendering and games. An innovative cooling system, called Heat Path Block, will also be integrated to ensure thermal control during intense use, preventing loss of performance due to overheating.
An ongoing strategic collaboration
The partnership between Samsung and Nota AI is an example of long-term collaboration that has matured with each generation of processors. The joint work began with the Exynos 2400 and extended to the Exynos 2500, which equips some of the brand’s latest foldable devices. With each new version, the integration between the optimization software and the chip’s hardware becomes deeper and more efficient.
The current agreement goes beyond simply licensing the NetsPresso technology. Ele includes the joint development of the next version of Exynos AI Myungsu Chae, CEO of Nota AI, said that the deep integration with Samsung hardware generates concrete and tangible value for the on-device AI ecosystem, benefiting both developers and end users.
Direct implications for the Galaxy S26 line
For future owners of a device from the Galaxy S26 line equipped with the Exynos 2600, the technology will translate into practical and innovative features. The ability to process generative AI offline will open doors to more intelligent and responsive virtual assistants, image and video editing tools that work in real time and without the internet, and much more agile and accurate simultaneous translation systems. Running locally not only speeds up these tasks but also strengthens the security of user data.
Samsung’s strategy of equipping its high-end devices with Exynos or Snapdragon processors depending on the region should continue. However, the advancement provided by the partnership with Nota AI makes the variant with Exynos 2600 particularly competitive in the field of artificial intelligence. Software optimization could be the difference that puts the Samsung chip on an equal footing or even ahead of its direct competitors in specific AI tasks, offering a more fluid and intelligent user experience.
Advantages for the developer ecosystem
The automation offered by the Exynos AI Studio, powered by NetsPresso technology, considerably simplifies the process of adapting new AI models to the Samsung hardware. Isso accelerates the development cycle and allows app creators to incorporate cutting-edge artificial intelligence capabilities into their products with greater ease. The ability to optimize large, demanding models while maintaining efficiency removes an important technical barrier and encourages innovation in the Android ecosystem. The consequence is a richer application market with more sophisticated features available to users of the Galaxy line.
The competitive landscape in the chip market
Samsung’s bet on AI on the device with the Exynos 2600 is a direct response to the movements of competitors such as the Apple, with its Bionic and M series A chips, and the Qualcomm, with the Snapdragon line. The ability to run complex AI models locally is becoming a key battleground in the mobile semiconductor industry. By ensuring such robust software optimization, Samsung not only improves its own product, but also strengthens its position as a cutting-edge technology provider capable of setting trends and innovating in an extremely competitive market.
Expectations for the official launch
The Galaxy S26 line is projected to be launched in the first quarter of 2026, between the months of February and March. Somente with tests on end devices it will be possible to evaluate the real performance of the combination between the powerful hardware of the Exynos 2600 and the software optimization of the Nota AI. Expectations, however, are high, and the technology positions the new chip as one of the most promising solutions for the next generation of smart smartphones.
