Alibaba Cloud Sees Sustained AI-Driven Growth Post-Spring Festival

Earnings Call

15 May

- After the Spring Festival, Alibaba saw a surge in new customer demand, especially for inference workloads and inference-based scenarios.
- The large-scale adoption of AI is expected to continue in the coming months, not just in February and March after Spring Festival, but through April and May as well.
- The current surge in demand growth is closer to what can be expected as the regular pace of growth going forward.
- Smaller AI models (around 3 billion parameters or less) are suitable for edge applications on mobile phones, toys, and smart devices, with limited impact on cloud business.
- Larger models (32 billion parameters or higher) are better run in the cloud for elasticity and better pricing, driving cloud usage.
- Edge models and cloud-based large parameter models are seen as complementary, working well together as a business model.
Disclaimer: This earnings call summary is generated by AI and is for informational purposes only. Due to technical limitations, inaccuracies may exist. It does not constitute investment advice or commitments.

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It does not constitute investment advice or commitments.","source":null,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Alibaba Cloud Sees Sustained AI-Driven Growth Post-Spring Festival</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nAlibaba Cloud Sees Sustained AI-Driven Growth Post-Spring Festival\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1002722034\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://community-static.tradeup.com/news/decf3d8a922fc5c1c1d787bf8b36173f);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Earnings Call </p>\n<p class=\"h-time\">2025-05-15 20:34</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<br>- After the Spring Festival, Alibaba saw a surge in new customer demand, especially for inference workloads and inference-based scenarios. <br>- The large-scale adoption of AI is expected to continue in the coming months, not just in February and March after Spring Festival, but through April and May as well.<br>- The current surge in demand growth is closer to what can be expected as the regular pace of growth going forward.<br>- Smaller AI models (around 3 billion parameters or less) are suitable for edge applications on mobile phones, toys, and smart devices, with limited impact on cloud business.<br>- Larger models (32 billion parameters or higher) are better run in the cloud for elasticity and better pricing, driving cloud usage.<br>- Edge models and cloud-based large parameter models are seen as complementary, working well together as a business model.<br>Disclaimer: This earnings call summary is generated by AI and is for informational purposes only. Due to technical limitations, inaccuracies may exist. It does not constitute investment advice or commitments.\n\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":"BABA","symbol_name":"阿里巴巴","start_time":0,"source_url":"","article_id":"1170405835","we_media_id":"1002722034","thumbnails":[],"rights":null,"url":"https://stock-news.laohu8.com/highlight/detail?id=1170405835","pubTimestamp":1747312497,"columns":[],"sourceInfo":null,"weMediaInfo":{"media_name":"Earnings Call","introduction":"real-time reporting","home_visible":1,"id":"1002722034","head_image":"https://community-static.tradeup.com/news/decf3d8a922fc5c1c1d787bf8b36173f"},"summary":"- After the Spring Festival, Alibaba saw a surge in new customer demand, especially for inference workloads and inference-based scenarios. - The large-scale adoption of AI is expected to continue in the coming months, not just in February and March after Spring Festival, but through April and May as well.- The current surge in demand growth is closer to what can be expected as the regular pace of growth going forward.- Smaller AI models  are suitable for edge applications on mobile phones, toys,","collect":0,"end_time":0,"defaultTopTitle":"","property":[],"viewcount":null,"language":"en","relate_stocks":{"89988":"阿里巴巴-WR","BABA":"阿里巴巴","09988":"阿里巴巴-W"},"translate_title":"阿里巴巴-SW云看到春节后人工智能驱动的持续增长","themeId":"10233fa4a8f2c1c404c85f3a0397b12a","isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"89988":1,"09988":1,"BABA":1},"content_text":"- After the Spring Festival, Alibaba saw a surge in new customer demand, especially for inference workloads and inference-based scenarios. - The large-scale adoption of AI is expected to continue in the coming months, not just in February and March after Spring Festival, but through April and May as well.- The current surge in demand growth is closer to what can be expected as the regular pace of growth going forward.- Smaller AI models (around 3 billion parameters or less) are suitable for edge applications on mobile phones, toys, and smart devices, with limited impact on cloud business.- Larger models (32 billion parameters or higher) are better run in the cloud for elasticity and better pricing, driving cloud usage.- Edge models and cloud-based large parameter models are seen as complementary, working well together as a business model.Disclaimer: This earnings call summary is generated by AI and is for informational purposes only. 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