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Baidu is emerging as a major AI chip player in China to fill the Nvidia gap
A general view of the Baidu logo is seen at the Shanghai New Expo Center during the World Artificial Intelligence Conference 2025 in Shanghai, China, on July 28, 2025. Tech giant Baidu is emerging as one of China's key artificial intelligence chip players, positioning itself as a challenger to Huawei as both look to fill the void left by industry leader Nvidia being kept out of the country. Best-known as China's biggest search business, Baidu has in recent years refocused its business around driverless cars and AI, including a majority-owned subsidiary, Kunlunxin, which designs chips. Several analysts have upgraded their outlook on Baidu's stock over the past few weeks, citing the semiconductor business and forecasting the unit will gain more domestic orders. This month, Baidu laid out a five-year roadmap for its Kunlun AI chips, beginning with the M100 in 2026 and the M300 in 2027. The company already uses a mix of its self-developed chips in its data centers to run its ERNIE AI models, as well as Nvidia products. Baidu makes money by selling its chips to third parties building data centers as well as renting out computing capacity via its cloud. It has sought to position itself as a so-called "full stack" AI offering with infrastructure made up of chips, servers and data centers, as well as AI models and applications. And the chip business appears to be gaining traction. Earlier this year, Kunlunxin won orders from suppliers to China Mobile, one of the country's biggest mobile carriers. "Kunlunxin has emerged as a leading domestic AI chip developer, focusing on high- performance AI chips for large language model (LLM) training and inference, cloud computing, and telecom and enterprise workloads," analysts at Deutsche Bank said in a note this month. While Nvidia's graphics processing units (GPUs) are widely regarded as the most advanced chips for training and running AI, the company has been blocked by the U.S. government from selling its top-end product to China. Beijing has also reportedly been persuading local tech companies not to buy the H20, a less powerful Nvidia chip designed for the Chinese market and greenlit for export. With Huawei -- the leading player through its massive clusters of chips -- out of the picture, analysts are suggesting Baidu will fill the void and its chip business is set for explosive growth. "We believe domestic demand for AI compute in China remains intense, and hyperscalers are increasingly sourcing from local solution providers," JPMorgan said in a note on Sunday. "We view Kunlun AI chip as one of the best positioned." The investment bank analysts forecast Baidu chips sales to increase six-fold to reach 8 billion Chinese yuan ($1.1 billion) in 2026. Analysts at Macquarie estimate that Baidu's Kunlun chip unit could be valued at about $28 billion. Baidu is not alone among China's tech giants when it comes to self-developed semiconductors. CNBC reported in August that Alibaba is also developing its next-generation AI chip.
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Baidu AI chips growth: China faces shortage, Kunlunxin leads the market
Baidu is growing fast in AI chips in China, aiming to compete with Huawei and fill the gap left by Nvidia. Its Kunlunxin chips are used in data centers and cloud AI services. With strong local demand and limited foreign supply, Baidu's chip business could grow a lot, making it a key player in China's artificial intelligence market. Baidu is becoming a key AI chip player in China. The company is trying to challenge Huawei while Nvidia is blocked from China. Baidu is best known for search, but now it is focusing on driverless cars and artificial intelligence (AI). Baidu owns Kunlunxin, a subsidiary that designs AI chips. Analysts are positive about Baidu stock, mainly because of its semiconductor business and expected domestic orders. Baidu shared a five-year plan for Kunlun AI chips this month, starting with M100 in 2026 and M300 in 2027, as reported by CNBC. Baidu already uses its own chips along with Nvidia chips in its data centers for AI models called ERNIE. Baidu makes money by selling chips to data centers and renting computing power through its cloud services. Baidu wants to be a "full stack" AI company, offering chips, servers, data centers, AI models, and applications. Kunlunxin is getting orders from big customers like China Mobile. Deutsche Bank analysts said: "Kunlunxin has emerged as a leading domestic AI chip developer, focusing on high-performance AI chips for large language model (LLM) training and inference, cloud computing, and telecom and enterprise workloads", as stated by CNBC. Nvidia GPUs are very advanced but the U.S. government blocks China from buying Nvidia's top chips. Beijing reportedly discourages companies from buying Nvidia's less powerful H20 chip approved for export. With Huawei's chip business limited, analysts say Baidu could fill the gap and grow fast. JPMorgan analysts said: "We believe domestic demand for AI computers in China remains intense, and hyperscalers are increasingly sourcing from local solution providers. We view the Kunlun AI chip as one of the best positioned", as stated by CNBC. Baidu chip sales could grow six times by 2026, reaching 8 billion yuan ($1.1 billion). Macquarie analysts estimate Kunlun could be worth $28 billion. Other Chinese tech giants like Alibaba are also developing AI chips. China is facing AI chip shortages. Alibaba's CEO Eddie Wu said: "the supply side is going to be a relatively large bottleneck" over the next 2-3 years. Tencent cut its 2025 spending, not because of low demand, but because chips are not available. Tencent President Martin Lau said: "It is not a reflection of our change in AI strategy ... It is indeed a change in terms of the AI chip availability", as stated by CNBC. Global demand and U.S. chip restrictions are causing part of the shortage. Chinese companies are using stockpiled chips and making AI models more efficient to deal with shortages. China's biggest chipmaker, SMIC, cannot match global leaders like TSMC, so producing enough domestic chips is hard. Alibaba's Wu said: "We see that customer demand for AI is and remains very strong. In fact, we are not even able to keep pace with the growth in customer demand ... in terms of the pace at which we can deploy new servers", as per the report by CNBC. Nick Patience from The Futurum Group said: "Baidu's chip push is both a necessity and an opportunity. It's a necessity, because Chinese platforms can no longer assume a steady diet of US GPUs; opportunity, because there's now a semi‑captive, multi‑billion‑dollar domestic market for AI hardware that is compliant with both US export rules and Beijing's self‑reliance agenda." Baidu could become a strategic supplier in China if it ships competitive Kunlun chips on time. Patience added: "If Baidu can ship competitive Kunlun generations on time, it doesn't just solve its own supply problem -- it becomes a strategic supplier to the rest of China's AI industry." Q1. What is Baidu doing in AI chips? Baidu, through its Kunlunxin unit, is designing AI chips for data centers, cloud services, and large AI models. Q2. Why is China facing AI chip shortages? China has limited access to Nvidia chips, global supply issues, and domestic chipmakers like SMIC cannot meet full demand.
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Baidu Unveils 5-Year AI Chip Roadmap To Replace Nvidia in China - Baidu (NASDAQ:BIDU)
Baidu Inc (NASDAQ:BIDU) is rapidly emerging as one of China's leading artificial intelligence chip players, directly challenging Huawei Corp as both companies work to replace Nvidia Corp (NASDAQ:NVDA), whose top processors are now blocked from the Chinese market. BIDU is biding its time at current levels. See what is happening here. Once known primarily as China's dominant search engine, Baidu has shifted its focus to AI and autonomous driving through its majority-owned chip subsidiary, Kunlunxin. Baidu stock gained 38% year-to-date. Investor optimism over Baidu's shift toward AI -- particularly its fast-growing AI Cloud business and Apollo Go autonomous driving operations -- has pushed the stock higher. Also Read: Baidu's AI Cloud Takes Off, But Ad Slump Steals Spotlight Baidu And AI Analysts have recently upgraded their outlook on Baidu, citing rising semiconductor momentum and growing domestic demand, CNBC reported. Strong, sustained AI demand is giving Baidu an opening. As The Futurum Group's Nick Patience told CNBC, Baidu's chip strategy is "both a necessity and an opportunity", one that could not only solve Baidu's own supply problems but also position the company as a critical AI hardware provider for China's broader ecosystem. Baidu unveiled a five-year roadmap for Kunlun chips, starting with the M100 in 2026 and the M300 in 2027. According to the report, Baidu already deploys its own processors alongside Nvidia hardware to power its ERNIE AI models and sells these chips to third-party data center builders while also offering cloud compute capacity. The business is gaining traction. Earlier in 2025, Kunlunxin secured orders from suppliers to China Mobile. Deutsche Bank called Kunlunxin a leading domestic AI chip developer -- targeting LLM training, inference, cloud, and telecom workloads. With U.S. restrictions preventing Nvidia from selling its best GPUs to China, and Beijing discouraging purchases of Nvidia's weaker H20 chips, analysts expect Baidu to fill the gap left by Huawei's constrained supply. JPMorgan forecasts Baidu's chip sales will surge sixfold to 8 billion yuan ($1.1 billion) by 2026, while Macquarie values the Kunlun unit at roughly $28 billion. China's chip shortage is accelerating this shift. Even top players such as Alibaba Group Holding Ltd (NYSE:BABA) and Tencent Holding Ltd (OTC:TCEHY) both flagged the tight supply of AI-grade semiconductors as a bottleneck for data center growth. Baidu's AI Shift Meanwhile, Baidu is cutting jobs across major divisions and reorganizing its AI teams to streamline operations after a loss-making quarter. It is also shifting leadership of its ERNIE AI model and chatbot to younger managers, aiming to boost competitiveness and accelerate innovation, SCMP reported. Recent Earnings On November 18, Baidu reported a third-quarter revenue of 7% decline to $4.38 billion. Analysts expected $4.31 billion in revenue for the quarter. Adjusted operating income declined 69% to $310 million. The quarterly adjusted EPS of $1.56 topped the analyst consensus estimate of $0.91. BIDU Price Action: Baidu shares were up 0.57% at $117.00 during premarket trading on Wednesday, according to Benzinga Pro data. Read Next: Buy Post-Earnings Dip, Amazon Is Still Top Pick: Analyst Photo by Ascannio via Shutterstock BIDUBaidu Inc$117.000.57%OverviewBABAAlibaba Group Holding Ltd$156.00-1.02%NVDANVIDIA Corp$180.850.33%TCEHYTencent Holdings Ltd$78.95-%Market News and Data brought to you by Benzinga APIs
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Chinese tech giant Baidu is positioning itself as a major AI chip manufacturer through its Kunlunxin subsidiary, unveiling a five-year roadmap to challenge Huawei and fill the gap left by Nvidia's restricted access to the Chinese market.
Chinese tech giant Baidu is rapidly transforming from a search engine company into one of China's most significant artificial intelligence chip manufacturers. Through its majority-owned subsidiary Kunlunxin, Baidu is positioning itself to challenge industry leaders and fill the substantial gap left by Nvidia's restricted access to the Chinese market
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Source: ET
The company has unveiled an ambitious five-year roadmap for its Kunlun AI chips, beginning with the M100 model scheduled for 2026 and the M300 for 2027. This strategic timeline demonstrates Baidu's commitment to becoming a dominant force in China's domestic semiconductor industry
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.Analysts are increasingly optimistic about Baidu's semiconductor prospects, with several major investment banks upgrading their outlook on the company's stock. JPMorgan forecasts that Baidu's chip sales will experience explosive growth, increasing six-fold to reach 8 billion Chinese yuan ($1.1 billion) by 2026
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.Macquarie analysts have valued Baidu's Kunlun chip unit at approximately $28 billion, highlighting the substantial market opportunity in China's AI infrastructure sector
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. This valuation reflects the growing domestic demand for AI computing solutions and the limited availability of foreign alternatives.Baidu has positioned itself as a comprehensive "full stack" AI provider, offering an integrated ecosystem that includes chips, servers, data centers, AI models, and applications. The company currently uses a combination of its self-developed Kunlun chips alongside existing Nvidia products in its data centers to power its ERNIE AI models
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Source: Benzinga
The business model generates revenue through two primary channels: direct chip sales to third-party data center builders and cloud computing services where Baidu rents out computing capacity. This dual approach allows the company to capture value across multiple segments of the AI infrastructure market
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Kunlunxin has already demonstrated market traction by securing significant orders from suppliers to China Mobile, one of the country's largest mobile carriers. Deutsche Bank analysts noted that "Kunlunxin has emerged as a leading domestic AI chip developer, focusing on high-performance AI chips for large language model training and inference, cloud computing, and telecom and enterprise workloads"
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.The growth opportunity for Baidu's chip business is significantly amplified by U.S. export restrictions that prevent Nvidia from selling its most advanced graphics processing units to China. Additionally, Beijing has reportedly discouraged local technology companies from purchasing Nvidia's H20 chips, which are less powerful processors specifically designed for the Chinese market and approved for export
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.China is experiencing severe AI chip shortages, with major technology companies like Alibaba and Tencent acknowledging supply constraints as significant bottlenecks for their data center expansion plans. Alibaba's CEO Eddie Wu characterized the supply side as "a relatively large bottleneck" for the next 2-3 years, while Tencent reduced its 2025 capital expenditure not due to decreased demand but because of chip unavailability
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