Domestic AI chips are less adopted despite progress due to an underdeveloped software ecosystem. Users are reluctant to adopt them because the ecosystem, including programming frameworks, communication libraries, operator libraries, AI compilers, and other software components, is not as robust as that of foreign competitors like Nvidia. This makes it harder to port existing AI software to domestic systems, thus limiting user adoption.
Why are domestic AI chips less adopted despite progress?
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