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Alarm for Nvidia; The Chinese make CUDA-compatible GPUs

According to JPR, one of Goldwasser’s hallmarks is the Denglin architecture, which provides on-chip heterogeneous computing technology through software. The most attractive advantage of this feature is that it is directly compatible with programming models such as Nvidia’s CUDA; Of course, we still don’t know if Denglin can make a processor that can compete with Nvidia’s truly best.

written by TomsHardware, Li Jianwen And Wang Pingthe founders of Denglin Technology are graduates of Tsinghua University and Yang Jianthe former vice president of Huawei’s global supply chain operations, now holds a similar position in this fledgling startup.

With its extensive experience in R&D and commercialization of GPU, Denglin has seven research centers in various regions including Silicon Valley, Chengdu and Hangzhou.

Data from Verified Market Research shows that the global GPU market was valued at $33.47 billion in 2021 and is expected to grow to $477.37 billion by 2030, representing a CAGR of 34.4%. It will be from 2021 to 2030. This increase is due to the growing demand of professional software users and gamers and electronic sports fans. Meanwhile, artificial intelligence also has a large share of the said market.


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