---
title: "Samsung Electronics plans to integrate its self-developed GPU into application processors for the first time in 2027, accelerating its edge-side AI layout"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/270792681.md"
description: "Samsung Electronics plans to adopt its self-developed GPU for the first time in the Exynos 2800 chip in 2027, replacing the existing AMD RDNA-based Xclipse solution to reduce external dependence and enhance technological autonomy. This GPU will start with smartphones and gradually expand to smart glasses, robotics, automotive SoCs, and AI-specific chips, helping to build an end-to-end edge AI ecosystem"
datetime: "2025-12-25T13:06:37.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/270792681.md)
  - [en](https://longbridge.com/en/news/270792681.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/270792681.md)
---

> Supported Languages: [简体中文](https://longbridge.com/zh-CN/news/270792681.md) | [繁體中文](https://longbridge.com/zh-HK/news/270792681.md)


# Samsung Electronics plans to integrate its self-developed GPU into application processors for the first time in 2027, accelerating its edge-side AI layout

Samsung Electronics is promoting the complete autonomy of graphics processors, planning to equip its self-developed GPU in the Exynos chip set to launch in 2027, marking a key step for the world's largest memory chip manufacturer in building an end-to-end AI ecosystem.

According to a report by the Korea Economic Daily on the 25th, **Samsung aims to use self-developed graphics IP in the application processor Exynos 2800, which is set to launch in 2027, replacing the existing collaborative solution.**

This move will reduce Samsung's reliance on external suppliers and gain greater autonomy in the iteration of functions and features. Samsung's current mid-to-high-end mobile chips use the Xclipse GPU based on AMD's RDNA architecture.

Samsung plans to expand the application range of its self-developed GPU from smartphones to smart glasses, robots, automotive SoCs, and the AI-specific chip market.

## Breaking Free from AMD Dependency and Diversifying Market Layout

Samsung Electronics currently uses the Xclipse GPU derived from AMD's RDNA series architecture in its mid-to-high-end mobile application processors. By shifting to a fully self-developed graphics architecture, the company will have greater control over product planning and technology roadmaps.

Reports indicate that Samsung plans to start with smartphones and gradually promote its self-developed GPU to a wider range of devices, including smart glasses, robots, and automotive chips, while also entering the AI-specific chip market. This strategy aims to establish a complete end-side AI product ecosystem

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