Intel Gao Yu revealed: Core Ultra processor has successfully adapted to 10 domestic large-scale application scenario models

Based on the original content, rewrite it as follows: According to the news, Intel China technical general manager Gao Yu revealed at the "AI PC Industry Innovation Forum" organized by Lenovo Group that the new generation Core Ultra processor has been successfully adapted to more than 10 domestic large-scale models. Gao Yu emphasized that Intel is committed to fully adapting models of various sizes to meet the fierce competition in the large model market. He also said that Intel will continue to cooperate with domestic industry chain partners to not only achieve the smooth operation of large language models on CPUs, but also deploy them on NPUs

According to me Understand that Intel adopts the XPU strategy for AI computing solutions, which is a "triple" of GPU, NPU and CPU. Intel has successfully deployed large language models on CPUs and plans to deploy them on NPUs in the future to provide faster AI computing. Gao Yu also emphasized that Intel will continue to deepen cooperation with domestic partners such as Lenovo Group and strengthen industry chain linkage

Intel has previously clarified the concept of AI PC, which refers to a computer that can fully utilize the functions of artificial intelligence personal computer. Through the collaboration between the cloud and personal computers, or by running large language models independently on local personal computers, AI PC can fundamentally improve and reshape users' computer experience, releasing more productivity and creativity. Intel plans to release the Core Ultra series of processors on December 15. These processors are equipped with integrated NPUs to provide low-latency artificial intelligence computing capabilities. Intel said that starting with Meteor Lake, it will widely introduce artificial intelligence technology into the field of personal computers, lead hundreds of millions of personal computers into the era of artificial intelligence, and rely on the huge x86 ecosystem to provide a wide range of software models and tool support

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