HomeDeepSeek V4 Launch Set for Mid-April with Trillion Parameters and Domestic Chip Support
DeepSeek founder Liang Wenfeng recently shared in an internal memo that the company's next-generation flagship model, DeepSeek V4, is on track for an official launch in late April 2026. This announcement signals a pivotal moment for domestic large language models in the global race toward trillion-parameter scale. Ahead of the V4 release, DeepSeek has rolled out "Fast Mode" and "Expert Mode" on its web platform, offering users a glimpse of its capabilities through differentiated interactions like quick searches and handling of complex, multi-step queries.
Technologically, DeepSeek V4 is projected to represent a significant leap, targeting a trillion parameters and supporting a context window of up to one million tokens. A key breakthrough is its deep, native compatibility with domestic hardware like Huawei's Ascend series chips. This strategic development is viewed as a critical step for China's AI sector in reducing dependence on the CUDA ecosystem and building a self-reliant computing foundation. Anticipating this demand, major domestic tech firms including Alibaba, ByteDance, and Tencent have placed bulk orders for hundreds of thousands of new AI chips, aiming to rapidly integrate V4 via their cloud services. This surge has contributed to a recent approximate 20% increase in AI chip prices.
With the arrival of DeepSeek V4, competition in the large model arena is shifting from a pure algorithmic contest to a comprehensive battle involving "model performance, computing power, and ecosystem development." By optimizing for domestic computing infrastructure, DeepSeek not only enhances the cost-efficiency of model inference but also charts a sustainable path forward for the growth of homegrown large models within the current computing power landscape.
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Comments (2)
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![BrianWalker]()
Trillion parameters and domestic chip support? Sounds like they're finally trying to break free from Nvidia's grip. But how's the power consumption? Hope it doesn't turn into a space heater 🔥
![TerryYoung]()
Wait, trillion parameters? That's insane. But the real kicker is the domestic chip support—finally moving away from dependency. Hope it doesn't turn into another marketing gimmick though. 🧐
DeepSeek founder Liang Wenfeng recently shared in an internal memo that the company's next-generation flagship model, DeepSeek V4, is on track for an official launch in late April 2026. This announcement signals a pivotal moment for domestic large language models in the global race toward trillion-parameter scale. Ahead of the V4 release, DeepSeek has rolled out "Fast Mode" and "Expert Mode" on its web platform, offering users a glimpse of its capabilities through differentiated interactions like quick searches and handling of complex, multi-step queries.
Technologically, DeepSeek V4 is projected to represent a significant leap, targeting a trillion parameters and supporting a context window of up to one million tokens. A key breakthrough is its deep, native compatibility with domestic hardware like Huawei's Ascend series chips. This strategic development is viewed as a critical step for China's AI sector in reducing dependence on the CUDA ecosystem and building a self-reliant computing foundation. Anticipating this demand, major domestic tech firms including Alibaba, ByteDance, and Tencent have placed bulk orders for hundreds of thousands of new AI chips, aiming to rapidly integrate V4 via their cloud services. This surge has contributed to a recent approximate 20% increase in AI chip prices.
With the arrival of DeepSeek V4, competition in the large model arena is shifting from a pure algorithmic contest to a comprehensive battle involving "model performance, computing power, and ecosystem development." By optimizing for domestic computing infrastructure, DeepSeek not only enhances the cost-efficiency of model inference but also charts a sustainable path forward for the growth of homegrown large models within the current computing power landscape.
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Trillion parameters and domestic chip support? Sounds like they're finally trying to break free from Nvidia's grip. But how's the power consumption? Hope it doesn't turn into a space heater 🔥
Wait, trillion parameters? That's insane. But the real kicker is the domestic chip support—finally moving away from dependency. Hope it doesn't turn into another marketing gimmick though. 🧐
