Samsung Electronics has deepened its strategic alliance with technology company Nota AI, aiming for unprecedented optimization of the artificial intelligence capabilities in its future processor. The agreement provides for the integration of an advanced AI model compression platform directly into the Exynos 2600 chipset, which should equip the next generation of smartphones in the Galaxy S26 line.
This collaboration will allow large language models (LLMs) and other generative AI architectures to run directly on devices, locally and without the need for a constant internet connection. The technology promises to reduce the size of these models by up to 90%, a significant advance that maintains the accuracy of operations while dramatically improving efficiency, response speed and user privacy.
The development represents a crucial step in Samsung’s strategy to consolidate on-device AI as a pillar of its premium products. By processing complex tasks locally, the brand’s future devices will be able to offer faster and safer functionalities, from real-time image editing to more intelligent and contextual virtual assistants.
The initiative also reinforces the competitiveness of the Exynos line in the global semiconductor market, where artificial intelligence performance has become a key differentiator. The Exynos 2600 is expected to establish a new performance standard for machine learning tasks on mobile devices, impacting the entire ecosystem of applications and services.
The NetsPresso platform in detail
The central pillar of this innovation is the NetsPresso platform, developed by Nota AI. Sua main function is to compress large-scale artificial intelligence models, making them viable to operate within the hardware and power limitations of a smartphone, without compromising the quality of the results. To achieve this drastic size reduction, the technology uses a set of sophisticated techniques, such as quantization, which reduces the numerical precision of the model parameters, and pruning, which removes redundant neural connections. What sets NetsPresso apart is its ability to automate this complex process, analyzing the architecture of the target hardware, in this case the Exynos 2600, to apply the most effective optimizations. Isso ensures that the compressed model not only takes up less space, but also performs its tasks with maximum efficiency on the chip’s NPU (Processamento Neural Unit), resulting in lower battery consumption and ultra-low latency for the end user.
A long-term collaboration
The partnership between Samsung and Nota AI is not new, but an evolution of joint work that has already brought results in previous generations of processors. The collaboration began with the Exynos 2400 and extended to the Exynos 2500, present in some of the brand’s latest devices, establishing a solid foundation for optimized AI integration.
With the new agreement focused on the Exynos 2600, the companies raise the level of integration, working on the joint development of the next version of the Exynos AI Studio. The Esta suite of tools is essential for software developers to adapt and optimize their own AI models for the Samsung hardware in a simplified and efficient way.
Myungsu Chae, CEO of Nota AI, said that deep integration with Samsung hardware enables the creation of concrete and tangible value in the field of on-device AI. The synergy between the Nota AI optimization software and the Exynos hardware architecture seeks to create a robust and accessible ecosystem for the next wave of intelligent applications.
Technical specifications of the Exynos 2600
The Exynos 2600 is being designed to be one of the most advanced processors on the market, manufactured with 2 nanometer technology and gate-all-around (GAA) transistors, which promise greater energy efficiency and performance.
Its Unidade Central of Processamento (CPU) will be made up of 10 cores based on a new Arm architecture, designed to offer up to a 39% increase in performance compared to the previous generation.
In the graphics department, the chip will feature the Xclipse 960 GPU, developed based on AMD’s RDNA 4 architecture. Essa unit promises significant gains in graphics processing, benefiting games and augmented reality applications.
The most AI-enhanced component is the NPU, which has been redesigned to support advanced instructions and handle more complex language models natively, ensuring fluid execution of NetsPresso-optimized tasks.
Practical benefits in the Galaxy S26 line
For future owners of a device from the Galaxy S26 line equipped with the Exynos 2600, technological advances will translate into a noticeably smarter and more fluid user experience. The ability to process generative AI offline will enable, for example, advanced photo and video editing without relying on a cloud connection, offering instant results.
Features such as real-time language translation during phone calls or in-person conversations will become more accurate and faster. Além In addition, virtual assistants will be able to understand more complex and contextual commands, acting proactively to help the user with their daily tasks, all with the guarantee that personal data remains on the device.
Advantages for the application ecosystem
The automation offered by Exynos AI Studio, powered by Nota AI technology, significantly simplifies developers’ work. The tool makes it easy to adapt recent, open-source AI models to Samsung-specific hardware, accelerating the development cycle of new applications with embedded AI.
This encourages the creation of a richer and more innovative software ecosystem for Galaxy devices, with applications that can exploit the full potential of the Exynos 2600 NPU. Optimization ensures that even the most demanding models can operate at high efficiency, making applications viable that were previously exclusive to cloud systems.
Expectations for the market
The launch of the Galaxy S26 line is expected in the first quarter of 2026, when the real performance of the combination between the Exynos 2600 hardware and the Nota AI-optimized software will be put to the test. The technology positions the Samsung chip as a strong competitor in the premium mobile processor segment, competing directly with the Qualcomm and Apple solutions. Investing in more powerful and efficient on-device AI could be Samsung’s biggest differentiator in attracting consumers and consolidating its leadership in the Android smartphone market.
