Alibaba (BABA) Shares Surge Nearly 8% Following Major AI Data Center Unveiling in China

Key Highlights

• Alibaba partnered with China Telecom to unveil a 10,000-chip AI computing facility in Shaoguan, Guangdong, utilizing Alibaba’s proprietary Zhenwu processor technology.
• This facility represents the first large-scale deployment of Zhenwu chips in China’s Greater Bay Area, capable of handling AI model training with parameters reaching hundreds of billions.
• Performance metrics show 30% improved training and inference efficiency, with individual card throughput jumping nearly tenfold compared to earlier technology.
• Expansion plans call for scaling the facility to 100,000 chips, while smaller enterprises can access computing resources through China Telecom’s service platform.
• This deployment comes after a comparable 10,000-chip Huawei Ascend 910C facility began operations in Shenzhen the previous month.

Alibaba (BABA) and China Telecom have unveiled a massive AI computing facility featuring 10,000 chips in Shaoguan, located in Guangdong province. The infrastructure relies exclusively on Alibaba’s proprietary Zhenwu AI processors, which were engineered by the company’s T-Head semiconductor division.

Alibaba Group Holding Limited, BABA

This unveiling represents a milestone as the largest Zhenwu chip deployment to date within the Greater Bay Area region. According to Alibaba Cloud, this initiative signals a transition in China’s AI computing landscape “from achieving high-end performance milestones to widespread industrial adoption.”

The facility employs an advanced high-performance networking framework that enables all 10,000 processors to function as a unified supercomputing system. Alibaba reports this configuration achieves 30% greater training and inference efficiency, while individual card throughput shows nearly a tenfold improvement over previous-generation systems.

The infrastructure supports training for AI models containing hundreds of billions of parameters — positioning it alongside the most sophisticated AI development projects worldwide.

The system maintains a latency level of 4 microseconds, which Alibaba credits to the sophisticated networking framework connecting the processors. This metric is critical for enterprise AI applications where rapid response times are essential.

Beijing’s Drive Toward Indigenous AI Computing Infrastructure

This launch aligns with a comprehensive national initiative. Beijing incorporated intelligent computing infrastructure into its 15th five-year strategic plan last month, while an AI action blueprint from the State Council issued in August emphasized optimized expansion of computing capabilities nationwide.

By the conclusion of June last year, China’s aggregate computing capacity reached 962,000 petaflops — representing 21% of global capacity, marking a 73% year-over-year increase, based on data from the China Academy of Information and Communications Technology.

The Shaoguan facility has already been implemented in healthcare and advanced manufacturing applications. Small and medium-sized enterprises can obtain computing access via China Telecom’s platform, with flexible pricing options based on card usage or hourly rates.

Alibaba has also revealed intentions to expand the facility from 10,000 to 100,000 chips. This expansion strategy targets cost reduction and enhanced resource utilization.

Industry Context: Huawei and China’s Semiconductor Competition

This announcement follows a comparable achievement from the previous month, when China’s inaugural 10,000-card intelligent computing facility — utilizing Huawei’s Ascend 910C processors — commenced operations in Shenzhen.

That facility delivers 11,000 petaflops of computing power and has been integrated with another 3,000-petaflop facility activated in 2024. Shanghai is simultaneously developing a 10,000-card facility through an INESA state-owned subsidiary, designed for compatibility with various domestic processor architectures.

While Chinese processors continue to lag behind Nvidia in individual performance metrics, Beijing’s approach emphasizes large-scale cluster infrastructure and optimized networking to narrow the performance differential.

U.S. export controls on Nvidia processors have expedited China’s domestic semiconductor development trajectory. Alibaba’s T-Head division has played a pivotal role in this effort, alongside Huawei.

BABA shares advanced 7.79% on the announcement day, with after-hours trading adding another 0.82% to its Hong Kong-listed shares (728-HK).

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