{"id":227929,"date":"2026-05-31T11:01:00","date_gmt":"2026-05-31T11:01:00","guid":{"rendered":"https:\/\/teknomers.com\/en\/china-cant-acquire-the-best-nvidia-chips-alibabas-strategy-to-connect-and-market-their-own\/"},"modified":"2026-05-31T11:01:02","modified_gmt":"2026-05-31T11:01:02","slug":"china-cant-acquire-the-best-nvidia-chips-alibabas-strategy-to-connect-and-market-their-own","status":"publish","type":"post","link":"https:\/\/teknomers.com\/en\/china-cant-acquire-the-best-nvidia-chips-alibabas-strategy-to-connect-and-market-their-own\/","title":{"rendered":"China Can’t Acquire the Best Nvidia Chips: Alibaba’s Strategy to Connect and Market Their Own"},"content":{"rendered":"\n
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Alibaba is taking significant steps to reduce its dependence on Nvidia technologies in its artificial intelligence (AI) infrastructure. Following a directive from Xi Jinping’s government in October 2024, which encouraged Chinese technology companies to prioritize domestic chip production, Alibaba is now aligning itself with these national requirements. With state data centers mandated to use at least 50% Chinese integrated circuits, Alibaba Cloud is strategically positioned to capitalize on this shift.<\/p>\n

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Introducing the Zhenwu M890 Chip<\/h2>\n

Recently, Alibaba unveiled its new AI chip, the Zhenwu M890, marking a pivotal development in its bid to enhance local technology capabilities. Designed by T-Head, Alibaba’s semiconductor division founded in 2018, the M890 features 144 GB of HBM3 memory and boasts an impressive interconnection transfer speed of up to 800 GB\/s. This speed is crucial for Alibaba’s strategy to gain a foothold in the competitive AI hardware market.<\/p>\n

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Significant Investment in Infrastructure<\/h2>\n

Alibaba plans to invest a staggering $53 billion into its AI and cloud infrastructure over the next three years, the largest commitment of its kind in the company\u2019s history. The Zhenwu M890 chip is reported to deliver triple the performance of its predecessor, excelling in both training advanced AI models and during inference\u2014an essential function for generating user responses from AI models.<\/p>\n

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Alibaba aims to compete directly with Nvidia in data center infrastructure deployment.<\/p>\n<\/p><\/div>\n<\/div>\n

Performance Comparisons<\/h2>\n

In medium precision operations (FP16), the Zhenwu M890 delivers a peak performance of 0.6 petaflops, rivaling Nvidia’s A100 GPU and outperforming the H20 chip by a factor of three. Additionally, the use of the new ICN Switch interconnection chip enables the connection of up to 128 M890 GPUs, allowing them to operate collaboratively as a unified system. This architecture positions Alibaba favorably against Nvidia in the data center infrastructure landscape.<\/p>\n

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Future Roadmap<\/h2>\n

Looking ahead, Alibaba has ambitious plans laid out through 2028. The forthcoming Zhenwu V900, set to launch in the third quarter of 2027, promises to implement a significantly enhanced parallel computing architecture, delivering three times the performance of the M890 and featuring 216 GB of memory. By the third quarter of 2028, the Zhenwu J900 is expected to make its debut, bringing another major architectural advancement.<\/p>\n

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The Competitive Landscape<\/h2>\n

This roadmap underscores Alibaba’s commitment to reclaiming its position in the fast-evolving AI chip market. In its pursuit of aggressive infrastructure development, T-Head is also considering an IPO to further fund its initiatives, directly competing with established players like Cambricon Technologies and Huawei’s Ascend line in the domestic AI chip sector.<\/p>\n

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In summary, Alibaba’s strategic maneuvers to develop advanced AI chips and infrastructure represent a bold response to government mandates and an evolving technological landscape. With a considerable financial commitment and ambitious product timelines, Alibaba is poised to challenge Nvidia’s dominance and shape the future of AI in China.<\/p>\n

Image | Alibaba<\/p>\n

More information | Alibaba<\/a> | ChinaDaily<\/a><\/p>\n<\/div>\n


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General News – 2<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Alibaba is taking significant steps to reduce its dependence on Nvidia technologies in its artificial intelligence (AI) infrastructure. Following a directive from Xi Jinping’s government in October 2024, which encouraged Chinese technology companies to prioritize domestic chip production, Alibaba is now aligning itself with these national requirements. With state data centers mandated to use at […]<\/p>\n","protected":false},"author":1,"featured_media":227930,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36399],"tags":[20694,53220,2397,10052,11764,1857,20230,9418],"class_list":["post-227929","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-acquire","tag-alibabas","tag-china","tag-chips","tag-connect","tag-market","tag-nvidia","tag-strategy"],"_links":{"self":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts\/227929","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/comments?post=227929"}],"version-history":[{"count":1,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts\/227929\/revisions"}],"predecessor-version":[{"id":227931,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts\/227929\/revisions\/227931"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/media\/227930"}],"wp:attachment":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/media?parent=227929"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/categories?post=227929"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/tags?post=227929"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}