Samsung Electronics is deepening its collaboration with South Korean company Nota AI, with the aim of revolutionizing the performance of artificial intelligence in its future processors. The agreement aims to integrate cutting-edge optimization technology directly into the Exynos 2600, the chipset that is expected to power part of the Galaxy S26 line of smartphones. Essa innovation promises to redefine what is possible to do with AI directly on your cell phone, without depending on an internet connection.
The strategic partnership focuses on implementing the NetsPresso platform, developed by Nota AI. Essa tool is capable of compressing large language models (LLMs) and other AI models up to 90% of their original size. The most impressive thing is that this drastic reduction occurs with minimal or no loss of precision, making it possible to execute complex generative AI tasks locally on devices.
With this capability, future Samsung devices will be able to offer advanced features faster, safer and more efficiently. Funções like smarter voice assistants, real-time translation and sophisticated image editing will work smoothly, even in airplane mode. Isso represents a significant step towards so-called “on-device AI”, a trend that prioritizes user privacy and autonomy when processing sensitive data on the hardware itself.
The technology behind optimization
The NetsPresso platform is the heart of this innovation, functioning as an intelligent optimizer for artificial intelligence models. Ela uses a set of advanced techniques, such as quantization and pruning of neural networks, to drastically reduce the memory footprint and computational demand of algorithms. Essencialmente, the technology removes redundancies and simplifies mathematical operations without compromising the final result of the task.
This compression allows AI models, which would normally require robust cloud servers, to operate efficiently within the hardware limitations of a smartphone. The result is a significant gain in performance, with tests indicating an increase of up to 113% in the AI performance of the Exynos 2600 compared to its direct predecessor, thanks to the synergy between the new hardware and the optimization software.
History of collaboration between companies
The alliance between Samsung and Nota AI is not new, but rather an evolution of a partnership that has already borne fruit in previous generations of processors. The collaboration began with the Exynos 2400, present in some models of the Galaxy S24 line, and continued with the development of the Exynos 2500, which should be used in future foldable devices from the brand.
The new agreement, however, raises the level of integration. The two companies are not only adapting an existing technology, but also working on jointly developing the next generation of the Exynos AI Studio. Esta software tool is crucial for application developers to optimize their own AI models to run efficiently on Samsung hardware.
Myungsu Chae, CEO of Nota AI, commented that the deep integration with Samsung hardware enables the creation of concrete value in the field of on-device AI. The shared vision is that the future of mobile artificial intelligence involves solutions that combine processing power with extreme energy and software efficiency.
What to expect from the Exynos 2600 processor
The Exynos 2600 is being designed to be one of the most advanced mobile processors on the market. Ele will be manufactured using Samsung’s 2-nanometer process with gate-all-around (GAA) technology, which promises substantial improvements in energy efficiency and overall performance compared to previous architectures.
Its central processing unit (CPU) will feature 10 cores based on an updated Arm architecture, designed to deliver up to a 39% increase in raw performance. Isso will ensure that the operating system and everyday applications run even more smoothly, even when executing multiple heavy tasks simultaneously.
In the graphics department, the chip will be equipped with the Xclipse 960 GPU, based on AMD’s latest RDNA 4 architecture. Essa graphics unit is designed to deliver significant gains in games and applications that demand high rendering power, supporting technologies such as ray tracing more efficiently and improved visual quality.
The Unidade of Processamento Neural (NPU), dedicated to AI tasks, will also receive a significant upgrade. Ela will support advanced instructions like SME2, allowing you to even more effectively accelerate the complex calculations required by generative artificial intelligence models, from text creation to video manipulation.
Advantages of on-device generative AI
The main advantage of running generative AI directly on the device is drastically reduced latency. Sem the need to send data to a cloud server, wait for processing and receive a response, interactions with virtual assistants, translation tools and editing applications become practically instantaneous. Isso improves the user experience, making technology more natural and integrated into the flow of use. Além In addition, privacy is an inherent benefit of this approach, as personal information, such as photos, messages and voice recordings, remain on the device, away from external servers and potential security vulnerabilities.
Another fundamental point is efficiency and accessibility. Cloud processing requires a constant internet connection and consumes a significant amount of battery due to continuous data transmission. When performing tasks locally, the Exynos 2600 optimized by Nota AI will use less energy, extending the smartphone’s autonomy. Essa capability also democratizes access to advanced AI features, which will now work seamlessly in areas with limited or no connectivity, ensuring that the device’s most powerful tools are always available to the user.
The impact on the developer ecosystem
The optimization promoted by the partnership between Samsung and Nota AI transcends direct benefits to the consumer and creates a new horizon of possibilities for application developers. The automation offered by the NetsPresso platform and the evolution of the Exynos AI Studio simplify a process that has historically been complex and time-consuming: the adaptation of artificial intelligence models to specific hardware. With these tools, software creators can implement cutting-edge AI capabilities into their applications much faster and with fewer resources, accelerating the innovation cycle. Isso means that the app ecosystem for the Galaxy platform will be able to expand with creative solutions that were previously unfeasible on a mobile device due to processing and memory constraints. The ability to run large, demanding models efficiently on hardware will enable new categories of applications to emerge, from productivity tools with contextual assistants to immersive, personalized real-time entertainment experiences, enriching the value of the platform as a whole.
Projections for line Galaxy S26
According to current market projections, the Galaxy S26 line should be officially announced between February and March 2026. The Samsung should maintain its strategy of using different processors depending on the region, with some markets receiving the version with the latest generation Snapdragon chip and others, the Exynos 2600. extremely competitive alternative, especially when it comes to mobile artificial intelligence performance.
