Nvidia and Aolani to Deploy 22,000 GPUs Across Southeast Asia AI Factory Hubs

Alibaba unveiled the Zhenwu V900 AI accelerator at its September 22 developer conference, saying it delivers roughly three times the performance of its predecessor and is scheduled for mass production in early 2027. The company also discussed future Qwen models scaling to 5 trillion to 10 trillion parameters and plans to expand global data-center capacity above 20 gigawatts by 2032. Alibaba can run the homegrown chip across its own cloud, models and internal applications, giving it captive demand before broad sales, though the performance claims come from Alibaba itself and mass production is still expected in 2027. For Nvidia, the concern is structural rather than immediate: export restrictions already limit its ability to serve China's highest-end demand, and each generation of domestic hardware that narrows the gap makes it harder for Nvidia to reclaim its old China position if policy changes. Insider Monkey's database showed 97 hedge funds with reportable Alibaba longs in Q2 2026, down from 102 in Q1, while Nvidia had 285 hedge-fund holders, up from 275; Alibaba short interest was about 41.98 million shares as of August 14, roughly 2.0% of public float with around 4.6 days to cover.

Google met South Korean officials on September 9 to discuss supplying its tensor processing units for the country's sovereign-AI buildout, according to a September 22 report from Seoul Economic Daily, putting Alphabet into a market where governments have leaned heavily on NVIDIA GPUs. Alphabet has spent years using TPUs to lower the cost of running its own models and Google Cloud workloads, and supplying them directly to universities, research organizations or on-premise sovereign installations would widen the addressable market and weaken one of Nvidia's strongest structural advantages outside hyperscaler clouds. Google reportedly argues TPUs can lower AI-compute costs materially, though those claims depend on workload, software support and utilization, and Nvidia's CUDA, networking and systems software remain a deeply entrenched platform that governments may still prefer. A Korean TPU deployment would not mean Nvidia has been displaced, but it could establish a template for splitting national clusters across competing architectures. Insider Monkey's database showed 275 hedge funds holding Alphabet at the end of Q2 2026, up from 265 in Q1, with Berkshire Hathaway increasing its Class A Alphabet position about 45% during the quarter, while Nvidia's holder count rose to 285 from 275 and Fisher Asset Management increased its stake about 3%.