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BofA Securities: Alibaba's Cloud Computing Conference Reinforces Full-Stack AI Opportunity, Maintains Buy
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BofA Securities reiterated a 'Buy' rating on Alibaba (09988, BABA.US) with a USD 175 price target for US-listed shares and HKD 172 for Hong Kong-listed shares, following Alibaba Cloud's flagship Apsara Conference. CEO Eddie Wu reaffirmed a long-term commitment to AI, emphasizing continued investment in AI models, chips, and cloud infrastructure. The bank observed strong and rapidly accelerating customer demand, a clear strategic commitment to AI agents, and the development of a recursive self-improvement (RSI) architecture. BofA believes Alibaba's industry-leading full-stack AI ecosystem allows it to capture value across multiple layers of the AI stack, with cloud driving near-term monetization and AI services, while applications and international expansion support longer-term growth. A potential catalyst is the September quarter update before the October quiet period. Alibaba plans to operate over 20 gigawatts of global data center capacity by 2032, implying average annual additions of about 2 GW. BofA estimates construction costs at USD 300-350 billion per GW but expects most to be financed through leases and other arrangements, limiting direct capex burden. The bank maintains its FY2027-2028 capex forecast at RMB 230-250 billion. Alibaba's chip unit, Pingtouge, released the Zhenwu V900 AI accelerator, described as China's highest-performing AI chip, with performance three times that of the Zhenwu M890 and scalable to clusters of up to 500,000 chips. Alibaba aims to increase the share of self-developed chips in deployed computing power from under 10% to 40-50% over time. The Tongyi Qianwen roadmap includes plans for the Qianwen 4.5/5 series with 5-10 trillion parameters, and the upcoming Qianwen 4 model with upgraded multimodal capabilities.
Source report
By ZhiTong Finance
BofA Securities has reiterated a "Buy" rating on Alibaba-W (09988.HK / BABA.US), setting a target price of $175 for US-listed shares and HK$172 for Hong Kong-listed shares, according to a research report released this week.
Key Takeaways from Alibaba Cloud's Apsara Conference
At the flagship Apsara Conference hosted by Alibaba Cloud, CEO Eddie Wu reaffirmed the company's long-term commitment to artificial intelligence. Wu emphasized that as AI advances toward machine intelligence, Alibaba will continue to invest in AI models, chips, and cloud infrastructure.
BofA observed:
- Strong and accelerating customer demand
- A clear strategic commitment to AI agents
- Ongoing development of Recursive Self-Improvement (RSI) architecture
- Increasingly autonomous and self-reinforcing full-stack capabilities across infrastructure, models, platforms, and applications
The conference reinforced BofA's positive outlook on Alibaba. The bank believes Alibaba's industry-leading full-stack AI ecosystem enables value capture across multiple layers of the AI stack, with:
- Cloud business driving near-term monetization and AI services
- Applications and international expansion supporting longer-term growth
The next potential catalyst is the quarterly update for the period ending September, expected before the October blackout period.
Data Center Expansion Plans
Alibaba plans to operate over 20 gigawatts (GW) of global data center capacity by 2032, underscoring management's confidence that medium- to long-term AI computing demand will significantly exceed current supply. This implies an average annual addition of approximately 2 GW.
BofA estimates construction costs at $30–35 billion per GW, but expects a substantial portion to be financed through leases and other cooperative arrangements, limiting Alibaba's direct capital expenditure burden. As a result, the bank maintains its FY2027–FY2028 CapEx forecast of RMB 230–250 billion.
The 20 GW target is broadly consistent with management's guidance of $100 billion in external AI and cloud revenue by FY2031 (approximately calendar 2030).
New AI Accelerator: Zhenwu V900
Alibaba's semiconductor arm, T-Head, unveiled its latest AI accelerator, the Zhenwu V900, which management describes as China's highest-performing AI chip. Key specifications include:
- 3x performance over the previous Zhenwu M890
- Scalable to clusters of up to 500,000 chips
- Supports cutting-edge model training and inference
Alibaba management expects significantly higher shipment volumes for T-Head chips in the coming years. The target is to increase the share of self-developed chips in Alibaba Cloud's deployed computing power from less than 10% currently to 40–50% over time. BofA views this as a key driver for improving supply chain control and cost efficiency in AI infrastructure.
Tongyi Model Roadmap
Alibaba plans to further advance its Tongyi Qianwen (Qwen) Max series, with Qwen 4.5 and Qwen 5 targeting 5 to 10 trillion parameters. The company will also address broader deployment needs with Flash, Plus, and local models.
Qwen 4 is expected to launch soon, featuring upgrades to its multimodal capabilities, including image, video, audio, and world models.
Source
智通财经网Neutral / independent
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Alibaba unveils Zhenwu V900 AI chip, targets 20GW data centers and 10-trillion-parameter model by 2032