{"id":11195,"date":"2026-07-08T14:44:37","date_gmt":"2026-07-08T14:44:37","guid":{"rendered":"https:\/\/www.fintechpulse8.com\/?p=11195"},"modified":"2026-07-08T14:44:37","modified_gmt":"2026-07-08T14:44:37","slug":"chinese-companies-are-ditching-nvidias-advanced-accelerators-for-domestic-ai-suppliers","status":"publish","type":"post","link":"https:\/\/www.fintechpulse8.com\/?p=11195","title":{"rendered":"Chinese companies are ditching Nvidia\u2019s advanced accelerators for domestic AI suppliers"},"content":{"rendered":"

<\/p>\n

Chinese companies are ditching Nvidia Corp.\u2019s advanced accelerators in favor of domestic silicon, underscoring how tensions with the US are reshaping the AI infrastructure buildout and propelling Beijing\u2019s ambitions to substitute American technology.<\/p>\n

\n

Executives in the country say they\u2019ll allocate 46% of their budget for artificial intelligence accelerators to domestic products over the next 12 months, up from 30% today, according to a Bloomberg Intelligence survey released on Tuesday. In addition, 80% of executives said their total infrastructure spending is running over-budget this year, mostly because of the high cost of AI-related projects.<\/p>\n

China\u2019s biggest AI infrastructure builders and their key suppliers \u2014 Tencent Holdings Ltd., Alibaba Group Holding Ltd. and Huawei Technologies Co. \u2014 are best-positioned to take advantage of the shift. AI accelerators produced by\u00a0Hygon Information Technology Co.\u00a0and\u00a0Cambricon Technologies Corp.\u00a0were also being evaluated by a large pool of respondents to the survey.<\/p>\n

\u201cChina\u2019s drive to substitute locally made AI-semiconductors for foreign ones is making progress, which is likely to benefit domestic markers such as Huawei and Hygon,\u201d said the report, which surveyed 60 executives at Chinese software, finance, manufacturing and retail companies.<\/p>\n

While Nvidia\u2019s products remain popular, the Santa Clara-based firm\u2019s market share is expected to shrink as its H20 chips, which Beijing has\u00a0urged\u00a0its tech firms not to use, become harder to find and local firms take over, according to the survey.<\/p>\n

China is allocating roughly\u00a02 trillion yuan\u00a0($294 billion) to build data centers across the country in the next five years, a government-led initiative to expand use of AI in sectors from healthcare to city management. At least 80% of core technologies, such as chips, will be supplied by domestic companies, Bloomberg News reported.<\/p>\n

Read More:\u00a0China Preps $295 Billion Plan to Fund Nationwide AI Buildout<\/p>\n

But a global memory chip shortage is likely to cap the growth of Chinese AI firms like\u00a0Semiconductor Manufacturing International Corp.\u00a0with\u00a0ChangXin Memory Technologies Inc.\u00a0poised to reap the benefits. The bottlenecks are shifting from sheer computing power to securing supply of high-bandwidth memory chips that support rapid data transfer, according to the report.<\/p>\n

Read More:\u00a0Apple Seeks to Buy Chinese-Made Memory Chips by Lobbying US<\/p>\n<\/div>\n

#Chinese #companies #ditching #Nvidias #advanced #accelerators #domestic #suppliers<\/p>\n","protected":false},"excerpt":{"rendered":"

Chinese companies are ditching Nvidia Corp.\u2019s advanced accelerators in favor of domestic silicon, underscoring how tensions with the US are reshaping the AI infrastructure buildout and propelling Beijing\u2019s ambitions to… <\/p>\n","protected":false},"author":1,"featured_media":11196,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[12784,5844,173,1381,1292,6886,1319,330,2456,8793],"class_list":["post-11195","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-finance-news","tag-accelerators","tag-advanced","tag-china","tag-chinese","tag-companies","tag-ditching","tag-domestic","tag-nvidia","tag-nvidias","tag-suppliers"],"_links":{"self":[{"href":"https:\/\/www.fintechpulse8.com\/index.php?rest_route=\/wp\/v2\/posts\/11195","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.fintechpulse8.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.fintechpulse8.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.fintechpulse8.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fintechpulse8.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=11195"}],"version-history":[{"count":0,"href":"https:\/\/www.fintechpulse8.com\/index.php?rest_route=\/wp\/v2\/posts\/11195\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.fintechpulse8.com\/index.php?rest_route=\/wp\/v2\/media\/11196"}],"wp:attachment":[{"href":"https:\/\/www.fintechpulse8.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=11195"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.fintechpulse8.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=11195"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.fintechpulse8.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=11195"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}