{"id":5786,"date":"2025-08-14T19:41:51","date_gmt":"2025-08-14T19:41:51","guid":{"rendered":"https:\/\/www.talkforweb.in\/blog\/deepseek-reverts-to-nvidia-for-r2-model-after-huawei-ai-chip-fails\/"},"modified":"2025-08-14T19:41:51","modified_gmt":"2025-08-14T19:41:51","slug":"deepseek-reverts-to-nvidia-for-r2-model-after-huawei-ai-chip-fails","status":"publish","type":"post","link":"https:\/\/www.talkforweb.in\/blog\/deepseek-reverts-to-nvidia-for-r2-model-after-huawei-ai-chip-fails\/","title":{"rendered":"DeepSeek reverts to Nvidia for R2 model after Huawei AI chip fails"},"content":{"rendered":"

<\/p>\n

\n

DeepSeek\u2019s plan to train its new AI model, R2, on Huawei\u2019s Ascend chips has failed and forced a retreat to Nvidia while delaying launch.<\/p>\n

For months, the narrative pushed by Beijing has been one of unstoppable technological progress and a march towards self-sufficiency. However, reality has a habit of biting back. The recent troubles of Chinese AI darling DeepSeek is a textbook example of where ambition meets the hard wall of technical limitations.<\/p>\n

After the successful launch of its R1 model in January, DeepSeek found itself under pressure from China to champion the national cause. According to three people speaking to the Financial Times<\/a>, the message was clear: use Huawei\u2019s chips, not Nvidia\u2019s.<\/p>\n

When it came to actually training their new R2 model, the sources say DeepSeek ran into \u201cpersistent technical issues\u201d with Huawei\u2019s AI chips. The problems were so fundamental that the project ground to a halt. A person with knowledge of the situation said this was the main reason the model\u2019s planned launch in May was scrapped, putting the company on the back foot in a market that waits for no-one.<\/p>\n

To understand why this is such a big deal, you have to know the difference between AI training and inference. Training is the hard part, like sending a student to university for years of intense learning. It requires colossal amounts of power and stability. Inference is the relatively \u2018easy\u2019 part, like asking the graduate a question.<\/p>\n

DeepSeek discovered that while Huawei\u2019s chips might be ready for the final exam, they weren\u2019t yet up to the gruelling university course. The company had no choice but to switch back to Nvidia\u2019s powerful systems to do the training. The sources say DeepSeek\u2019s team is still trying to get the R2 model to work with Huawei chips for the less demanding inference stage.<\/p>\n

Two people confirmed that Huawei even sent its own team of engineers to DeepSeek\u2019s offices to help them get the R2 model up and running on their chips. But even with the experts in the room, they couldn\u2019t get a successful training run.<\/p>\n

Talk to anyone in the industry, and they\u2019ll tell you this isn\u2019t a huge surprise. Huawei CEO Ren Zhengfei even said earlier this year that the US \u201chas exaggerated Huawei\u2019s achievements\u201d and the company \u201cis not that great yet,\u201d noting its best chips are still a generation behind.<\/p>\n

However, Beijing is still actively pushing its tech giants like to favour local hardware, with the Financial Times reporting that firms now have to justify orders of Nvidia\u2019s export-compliant H20 chip. It\u2019s part of a strategy to build a domestic champion, but it can force companies into making technically-inferior choices.<\/p>\n

Aside from the issues faced with using Huawei\u2019s chips for training, DeepSeek founder Liang Wenfeng has reportedly told his team he is dissatisfied with the overall progress towards the R2 model. He is said to be pushing them to aim higher and build something that can keep the company among the AI industry leaders.<\/p>\n

For all the top-down directives and national pride, the laws of engineering still apply. DeepSeek\u2019s story is a reminder that in the global race for AI supremacy, there are no shortcuts. China is playing the long game, but for now, the performance crown remains firmly on Nvidia\u2019s head.<\/p>\n

See also: <\/strong>Ren Zhengfei: China\u2019s AI future and Huawei\u2019s long game<\/strong><\/p>\n

\"\"<\/a><\/figure>\n

Want to learn more about AI and big data from industry leaders?<\/strong> Check out AI & Big Data Expo<\/a> taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference<\/a>, BlockX<\/a>, Digital Transformation Week<\/a>, and Cyber Security & Cloud Expo<\/a>.<\/p>\n

Explore other upcoming enterprise technology events and webinars powered by TechForge here<\/a>.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

DeepSeek\u2019s plan to train its new AI model, R2, on Huawei\u2019s Ascend chips has failed and forced a retreat to Nvidia while\u2026<\/p>\n","protected":false},"author":1,"featured_media":5787,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[23],"tags":[82,83,92,93,94,95,96,97,98,99],"class_list":["post-5786","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-ai","tag-artificial-intelligence","tag-ascend","tag-deepseek","tag-hardware","tag-huawei","tag-models","tag-nvidia","tag-processors","tag-training"],"yoast_head":"\nDeepSeek reverts to Nvidia for R2 model after Huawei AI chip fails - TALK FOR WEB LLP<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.talkforweb.in\/blog\/deepseek-reverts-to-nvidia-for-r2-model-after-huawei-ai-chip-fails\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DeepSeek reverts to Nvidia for R2 model after Huawei AI chip fails - 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