Major Chinese tech giants are making moves on high-end AI hardware. Following the latest shift in U.S. export policies under the Trump administration, ByteDance and Alibaba have reportedly started placing orders for Nvidia's H200 chips. According to sources close to the matter, both companies had been preparing their procurement strategies but held off until receiving the green light from regulatory authorities in Beijing. The H200 represents a significant leap in computing power, and its availability could reshape the competitive landscape for AI infrastructure development. This development comes at a crucial time when advanced chips are becoming increasingly critical for training large-scale models and powering next-generation applications across various sectors.
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AirdropChaser
· 20h ago
ByteDance and Alibaba finally made their move; now the chip war is about to heat up.
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down_only_larry
· 12-11 10:20
Wait a minute, ByteDance and Alibaba are about to make a big move? Once H200 is launched, it seems the domestic AI landscape will change again.
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MEVHunterNoLoss
· 12-10 20:52
ByteDance and Alibaba are starting to stockpile H200? The domestic AI computing power competition is about to heat up.
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StopLossMaster
· 12-10 20:45
ByteDance and Alibaba's move, to be honest, are still betting on national policy trends... Is H200 really that attractive? It feels like another punch card war is about to start.
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GateUser-26d7f434
· 12-10 20:44
ByteDance and Alibaba are finally starting to buy H200. Once the policies are relaxed, you'll really need to queue up...
Major Chinese tech giants are making moves on high-end AI hardware. Following the latest shift in U.S. export policies under the Trump administration, ByteDance and Alibaba have reportedly started placing orders for Nvidia's H200 chips. According to sources close to the matter, both companies had been preparing their procurement strategies but held off until receiving the green light from regulatory authorities in Beijing. The H200 represents a significant leap in computing power, and its availability could reshape the competitive landscape for AI infrastructure development. This development comes at a crucial time when advanced chips are becoming increasingly critical for training large-scale models and powering next-generation applications across various sectors.