{"id":302392,"date":"2025-05-07T01:20:00","date_gmt":"2025-05-07T08:20:00","guid":{"rendered":"https:\/\/sftarticles.wpenginepowered.com\/es\/?p=354322"},"modified":"2025-07-01T14:43:02","modified_gmt":"2025-07-01T21:43:02","slug":"nvidia-warns-donald-trump-that-his-demands-will-help-huawei-and-china","status":"publish","type":"post","link":"https:\/\/cms-articles.softonic.io\/en\/nvidia-warns-donald-trump-that-his-demands-will-help-huawei-and-china\/","title":{"rendered":"Nvidia warns Donald Trump that his demands will help Huawei and China"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Competition in the artificial intelligence (AI) sector is intensifying, with Nvidia establishing itself as a leader thanks to its CUDA ecosystem, which has set significant standards in AI computing globally.<\/p>\n\n\n<p class=\"wp-block-paragraph\">The company has warned about the risk of fragmentation of the technological ecosystem, a concern that is intensifying with the recent restrictions on the export of AI GPUs to countries like China, which could benefit local competitors.<\/p>\n\n\n<p class=\"wp-block-paragraph\"><strong>Huawei, for its part, has introduced its Cloud Matrix 384 platform<\/strong>, which aims to surpass flagship products from Nvidia, although it has faced criticism related to its usability.<\/p>\n\n\n<figure class=\"wp-block-embed is-type-rich is-provider-twitter wp-block-embed-twitter\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"twitter-tweet\" data-width=\"550\" data-dnt=\"true\"><p lang=\"en\" dir=\"ltr\">Huawei AI CloudMatrix 384<br>China\u2019s Answer to Nvidia GB200 NVL72<br>China Abundance of Power, 100% Optics, 0% Copper<br>Power Inefficiency<br>2.6x lower FLOP per Watt<br>14 Transceivers per Chip, Linear Pluggable Optics<a href=\"https:\/\/t.co\/EhhcgXmDLs\">https:\/\/t.co\/EhhcgXmDLs<\/a><\/p>&mdash; SemiAnalysis (@SemiAnalysis_) <a href=\"https:\/\/twitter.com\/SemiAnalysis_\/status\/1912366722717479002?ref_src=twsrc%5Etfw\">April 16, 2025<\/a><\/blockquote><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script>\n<\/div><\/figure>\n\n\n<h2 class=\"wp-block-heading\">Huawei launches Cloud Matrix 384 to challenge Nvidia&#8217;s dominance<\/h2>\n\n\n<p class=\"wp-block-paragraph\">Despite having an emerging ecosystem, the Chinese company must overcome significant challenges, such as the stability and documentation of its CANN architecture, designed to enhance its Ascend AI processors.<\/p>\n\n\n<p class=\"wp-block-paragraph\">The growing pressure Nvidia faces comes not only from traditional rivals like AMD and Intel but also from new companies like D-Matrix and Tenstorrent. Additionally, Chinese competitors are emerging with promising technology, although they currently lack a complete ecosystem like CUDA.<\/p>\n\n\n<p class=\"wp-block-paragraph\"><strong>With the AI Diffusion framework, which restricts the export of advanced chips, Nvidia could suffer a significant loss of revenue<\/strong> as it is forced to limit sales to one of its largest markets.<\/p>\n\n\n<figure class=\"wp-block-embed is-type-rich is-provider-twitter wp-block-embed-twitter\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"twitter-tweet\" data-width=\"550\" data-dnt=\"true\"><p lang=\"en\" dir=\"ltr\">The AI Diffusion Rule has faced criticism from companies like Nvidia, who argue it may hurt US leadership in AI and chip innovation. ? Industry concerns about the new rules:  <a href=\"https:\/\/t.co\/IhBRCpP5cN\">https:\/\/t.co\/IhBRCpP5cN<\/a><a href=\"https:\/\/twitter.com\/hashtag\/AIInnovation?src=hash&amp;ref_src=twsrc%5Etfw\">#AIInnovation<\/a><\/p>&mdash; The Information (@theinformation) <a href=\"https:\/\/twitter.com\/theinformation\/status\/1919414301267210528?ref_src=twsrc%5Etfw\">May 5, 2025<\/a><\/blockquote><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script>\n<\/div><\/figure>\n\n\n<p class=\"wp-block-paragraph\">Chinese manufacturers are positioning themselves to capitalize on this gap, which could result in a more competitive future for their AI hardware and further fragment U.S. leadership.<\/p>\n\n\n<p class=\"wp-block-paragraph\">Jensen Huang, CEO of Nvidia, has emphasized that the ability of the United States to continue leading AI development depends on its capacity to enable robust ecosystems, beyond trade restrictions.<\/p>\n\n\n<p class=\"wp-block-paragraph\">With the world at a turning point, the way collaboration and competition in technology are approached will determine future governance and dominance in the field of AI.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Competition in the artificial intelligence (AI) sector is intensifying, with Nvidia consolidating itself as a leader thanks to its CUDA ecosystem, which has set significant standards in AI computing globally. The company has warned about the risk of fragmentation of the technological ecosystem, a concern that is heightened by recent restrictions on the export of AI GPUs to countries like China, which could benefit local competitors. Huawei, for its part, has introduced its Cloud Matrix 384 platform, which aims to surpass flagship products from Nvidia, although it has faced criticism related to its [&#8230;]<\/p>\n","protected":false},"author":9317,"featured_media":302393,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","wpcf-pageviews":0},"categories":[1015],"tags":[4793],"usertag":[],"vertical":[],"content-category":[],"class_list":["post-302392","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-nvidia"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/302392","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/users\/9317"}],"replies":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/comments?post=302392"}],"version-history":[{"count":1,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/302392\/revisions"}],"predecessor-version":[{"id":307248,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/302392\/revisions\/307248"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/media\/302393"}],"wp:attachment":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/media?parent=302392"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/categories?post=302392"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/tags?post=302392"},{"taxonomy":"usertag","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/usertag?post=302392"},{"taxonomy":"vertical","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/vertical?post=302392"},{"taxonomy":"content-category","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/content-category?post=302392"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}