Nvidia Races to Optimize Chips for Chinese AI Models
Nvidia is building hardware optimizations for Chinese AI models like DeepSeek and Qwen, even as it warns regulators that US restrictions on such models could hurt its business.
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Nvidia is building hardware optimizations for Chinese AI models like DeepSeek and Qwen, even as it warns regulators that US restrictions on such models could hurt its business.
Alibaba launched Wan3.0, an AI video model that turns business documents into 30-second clips, a day after raising $10.2 billion in Hong Kong’s largest-ever follow-on share sale.
ByteDance and Tencent each received about 10,000 Nvidia H200 chips, but Chinese regulators want the hardware kept in Hong Kong, which lacks the power to run it.
Alibaba released the open weights for Qwen3.8-Max, a 2.4-trillion-parameter model it says trails only Anthropic’s Fable 5, its first openly released flagship-class system.
DeepSeek’s flagship V4 Pro left preview as build 0813, a 1.6-trillion-parameter model that nears frontier benchmarks at roughly a sixtieth of Anthropic’s Fable 5 pricing.
Moonshot AI has released the full weights for Kimi K3 on Hugging Face, making its 2.8 trillion-parameter multimodal model available for independent deployment, research, and further development.