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Alibaba Targets More Than 20 GW of Cloud Capacity With New Zhenwu V900 AI Chip

Alibaba is expanding its vertically integrated AI infrastructure, unveiling the Zhenwu V900 chip and targeting more than 20 gigawatts of global Alibaba Cloud data-centre capacity by 2032.

By Orbitrum
Alibaba logo beside an AI processor and data-centre server racks, illustrating its new chip and cloud infrastructure expansion.

Is Alibaba's Zhenwu V900 commercially available?

Not yet. Alibaba says the V900, which delivers three times the performance of its M890 predecessor, is scheduled for mass production and commercial release in the first quarter of 2027.

Orbitrum Investor Impact

Why does the AI infrastructure expansion matter for Alibaba?

More proprietary compute and data-centre capacity could let Alibaba serve growing AI demand while improving infrastructure efficiency. Its AI Cloud and Compute Services revenue reached $7.1 billion in the June 2026 quarter, up 45% year over year.

Does the 20-gigawatt target represent committed revenue?

No. It is a target for global data-centre capacity operated by Alibaba Cloud by 2032, not a customer spending commitment or revenue forecast.

How much will Alibaba spend to reach the 20-gigawatt target?

Alibaba did not disclose the specific capital required for the 2032 target in the sources checked. The company spent nearly $10 billion on capital expenditures in the June 2026 quarter, up 75% year over year, largely reflecting continued AI-related investment.

What could the announcement mean for Alibaba shareholders?

The investment case improves if additional capacity and proprietary chips translate into sustained cloud revenue growth and attractive returns on infrastructure spending. The expansion also increases execution and capital-allocation risk if capacity grows faster than profitable customer demand.

What should investors watch next?

The next concrete milestone is the V900's planned commercial release in the first quarter of 2027, followed by evidence that Alibaba can convert its expanding AI capacity into cloud revenue and margins without disproportionate capital spending.

Sources

Original signal: Reuters ↗

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