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Alibaba shares jump on Nvidia tie-up and new global data centers

Alibaba shares jump on Nvidia tie-up and new global data centers ClubRive …

Alibaba shares jump on Nvidia tie-up and new global data centers

Alibaba shares jump on Nvidia tie-up and new global data centers

Alibaba shares jump on Nvidia tie-up and new global data centers

TL;DR:

  • Alibaba announced a Nvidia partnership on September 24, 2025.
  • It plans new data centers in Brazil, France, and the Netherlands.
  • Shares surged to multi-year highs after the event.
  • New Qwen3 AI models were unveiled.
  • AI joins e-commerce as a core focus.

On September 24, 2025, Alibaba said it partnered with Nvidia and would expand global data centers while showcasing new AI models, including Qwen3 Max. Reuters reported the announcements and the share reaction the same day.

Where and when

The updates arrived during an Alibaba event in China. Follow-on coverage from Bloomberg noted shares hit near four-year highs. Investing.com recapped added details, including emphasis on “physical AI” collaboration areas.

What it means

A Nvidia tie-up signals deeper access to advanced chips and tooling. New data centers in Brazil, France, and the Netherlands extend Alibaba’s cloud reach closer to customers. The Qwen3 lineup raises its AI stack to compete with U.S. and Chinese peers.

Market reaction

Shares jumped after the news. Bloomberg called out the multi-year high. Traders often reward credible AI roadmaps plus capacity plans, and this move bundled both.

What happens next

Watch for specifics on capacity, chip allocations, and go-live dates for the new sites. Also track customer wins outside China, since local demand alone may not justify the global footprint.

Quick tracker table

ItemDetail
PartnerNvidia
New data centersBrazil, France, Netherlands
New modelsQwen3 Max, Qwen3 Omni reported
Share moveJump to near 4-year highs, per Bloomberg
DateSeptember 24, 2025

Why it matters

AI infrastructure is expensive. The plan suggests Alibaba will spend more to compete on model training and inference. Customers in Latin America and Europe could see lower latency and more choice.

Sources:

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