# 郭明錤解读 MediaTek 与 Nvidia 深化合作：AI 业务从芯片设计升级到系统级设计

- 来源：郭明錤｜Ming-Chi Kuo (@mingchikuo)
- 发布时间：2026-09-01 08:57
- AIHOT 分数：48
- AIHOT 链接：https://aihot.virxact.com/items/cmti0bqfv06q2rofqfqfxe4z7
- 原文链接：https://x.com/mingchikuo/status/2094590424837189899

## AI 摘要

郭明錤点评 MediaTek 与 Nvidia 深化长期合作的公告，认为公告反复使用 rack-scale 一词，验证了他两个多月前的研究结论：MediaTek 已将 AI 业务从 IC/ASIC 设计升级为系统级设计。

## 正文

MediaTek’s latest announcement on the deepening of its long-term partnership with Nvidia repeatedly uses the term “rack-scale.” This is the key to understanding the announcement, and it directly validates the central conclusion of my research from more than two months ago:

MediaTek has upgraded the strategic positioning of its AI business from "IC / ASIC design" to "system-level design."

The announcement link:
https://www.mediatek.com/press-room/nvidia-and-mediatek-deepen-long-standing-partnership-to-build-ai-edge-to-cloud-computing-platforms

The announcement also explains how MediaTek plans to put this new positioning into practice. By working with Nvidia, MediaTek can bring custom chips and XPUs into Nvidia’s mature rack-scale ecosystem, so that once chip development is complete, they can be integrated more quickly into rack-scale systems for deployment in data centers and AI factories.

For MediaTek, Nvidia’s mature rack-scale systems ecosystem means it does not need to start from scratch, giving this new strategy a much clearer path to execution.

For Nvidia, MediaTek’s custom silicon design capabilities and customer base can help extend Nvidia’s rack-scale ecosystem further into the custom silicon market.

This also explains why “rack-scale” is the key term in the announcement: it is where the two companies need each other most. MediaTek can move from chips to systems, while Nvidia can extend its rack-scale ecosystem into the custom silicon market, creating a win-win that opens up new growth opportunities for both.