Shulou(Shulou.com)11/24 Report--

Thanks to CTOnews.com netizens Snailwang, South China Wu Yanzu, Xiao Zhan cut for the delivery of clues! (update: according to the Taiwan media "Central News Agency", MediaTek announced that the relevant reports on the AI orders received by Google were based on market rumors that had not been fully verified, which greatly affected the rights and interests of the company and investors. If any damage is caused by misreporting, the company's rights will be protected in accordance with the law. )

CTOnews.com, June 19 (Xinhua)-- according to Taiwan's Economic Daily, there are rumors that Google will work with MediaTek to produce chips for AI servers, with a target to start mass production early next year. In response, MediaTek said it would not respond.

CTOnews.com of ▲ Picture Source summarizes the details of this rumor as follows:

The AI server chip completed by Google and MediaTek will be provided by MediaTek with serializer and de-serializer (SerDes).

MediaTek helps integrate Google's self-developed tensor processor (Tensor Processing Unit, TPU, which is specifically used in the field of machine learning).

Use TSMC 5 nm process to produce

It is expected to be delivered to the fab factory by the end of this year, with the goal of mass production early next year.

CTOnews.com noted that Chen Guanzhou, general manager of MediaTek, had said publicly that MediaTek was thinking about how to meet the development trend of large language models, regardless of terminal or cloud AI. Chen Guanzhou also said that MediaTek has invested a lot in AI computing and "realized years ago that future computing will not only rely on CPU and GPU, but also the rise of AI-based APU."

In addition, MediaTek will launch Tianji 9300, the third-generation chip of the Tianji series, at the end of October this year, which will also have AI computing technology based on large language models.

Google also laid out the research on deep learning technology many years ago, and released the first generation of deep learning processor chip TPU in 2015 to solve the problem of high computing cost derived from GPU. At present, Google's self-developed TPU chip has developed to the fourth generation.

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