Baidu has announced two new artificial intelligence chips designed to strengthen China’s access to advanced, cost-efficient, and locally controlled computing power. The launch comes as ongoing U.S.–China tensions continue to limit Chinese companies’ access to high-end U.S. AI processors, pushing domestic tech giants to accelerate their semiconductor development efforts.
At the Baidu World technology conference, the company revealed the M100 inference chip, expected to be released in early 2026, and the M300, a more advanced processor capable of both AI training and inference, slated for early 2027. Training enables AI models to learn from large datasets, while inference allows those models to generate predictions and respond to user queries in real time.
Baidu has been building proprietary semiconductor technology since 2011, and this latest announcement reinforces its long-term commitment to reducing reliance on foreign chips. Alongside the new processors, the company unveiled two high-performance “supernode” products. These systems use advanced networking to interconnect hundreds of chips, boosting total computing output and helping overcome limitations found in individual processors.
The move mirrors similar advances by Huawei, whose CloudMatrix 384 — a cluster of 384 Ascend 910C chips — has been compared to or even regarded as more powerful than Nvidia’s GB200 NVL72, one of the U.S. chipmaker’s top system-level offerings. Huawei has also shared plans to release even stronger supernode systems in the coming years, signaling an industry-wide push toward large-scale, domestically driven AI infrastructure.
Baidu’s new supernodes will include the Tianchi 256, built with 256 P800 chips and launching in the first half of next year. A larger 512-chip version is scheduled for the second half of the year, offering expanded processing capabilities for enterprise-level AI workloads.
The company also introduced an upgraded version of its Ernie large language model, designed to deliver improved performance not only in text generation but also in image and video analysis. With these advances, Baidu aims to strengthen China’s position in the global AI race by offering competitive, homegrown alternatives to foreign technologies.


AMD Shares Slide Despite Earnings Beat as Cautious Revenue Outlook Weighs on Stock
Prudential Financial Reports Higher Q4 Profit on Strong Underwriting and Investment Gains
Nvidia Confirms Major OpenAI Investment Amid AI Funding Race
Nvidia, ByteDance, and the U.S.-China AI Chip Standoff Over H200 Exports
TSMC Eyes 3nm Chip Production in Japan with $17 Billion Kumamoto Investment
Nintendo Shares Slide After Earnings Miss Raises Switch 2 Margin Concerns
Jensen Huang Urges Taiwan Suppliers to Boost AI Chip Production Amid Surging Demand
Tencent Shares Slide After WeChat Restricts YuanBao AI Promotional Links
Elon Musk’s SpaceX Acquires xAI in Historic Deal Uniting Space and Artificial Intelligence
SpaceX Seeks FCC Approval for Massive Solar-Powered Satellite Network to Support AI Data Centers
Baidu Approves $5 Billion Share Buyback and Plans First-Ever Dividend in 2026
Alphabet’s Massive AI Spending Surge Signals Confidence in Google’s Growth Engine
Amazon Stock Rebounds After Earnings as $200B Capex Plan Sparks AI Spending Debate
SpaceX Prioritizes Moon Mission Before Mars as Starship Development Accelerates
Elon Musk’s Empire: SpaceX, Tesla, and xAI Merger Talks Spark Investor Debate 



