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DeepSeek Self-Develops AI Inference Chip, Plans to Break Dependence on NVIDIA and Huawei
According to Reuters, Chinese AI startup DeepSeek is developing its own AI chips, three informed sources revealed. The chip is designed specifically for inference scenarios, rather than for model training. The project was launched approximately one year ago and remains in the early stages. The company has engaged with chip design, wafer foundry, and storage enterprises, and has quietly increased recruitment of chip design engineers without publicly posting job listings. If successfully developed, DeepSeek will reduce its reliance on Nvidia and Huawei Ascend chips, following the trend of global AI giants such as OpenAI and Anthropic developing their own hardware. Affected by U.S. export controls, DeepSeek previously shifted from Nvidia H800 to Huawei chips. This self-developed chip is regarded as a significant strategic transformation. Meanwhile, DeepSeek also plans to complete its first round of external financing, with a fundraising scale of approximately $7 billion, and a valuation reaching $52 billion to $59 billion.
Nvidia's market cap breaks $5 trillion again
as of the close of US stocks on April 24, Nvidia's stock price rose over 4%, pushing its market cap above $5 trillion. This marks the first time in nearly six months, since late October last year, that Nvidia's market cap has surpassed $5 trillion again.A report released by Stanford University last week mentioned the rapid adoption of AI. The report stated that AI is being adopted at an unprecedented rate, with the adoption rate of generative AI reaching 53%, faster than the adoption speed of personal computers and the internet. However, DeepSeek released its new model, DeepSeek-V4, which features a million-character ultra-long context and achieves leading performance in China and the open-source field in terms of agent capabilities, world knowledge, and reasoning ability. This model was developed in collaboration with Huawei Ascend. The cooperation and adaptation of cutting-edge models with domestic computing power providers are expected to promote the use of domestic computing power, which objectively also poses a challenge to Nvidia. (Yicai Global)
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DeepSeek Self-Develops AI Inference Chip, Plans to Break Dependence on NVIDIA and Huawei
According to Reuters, Chinese AI startup DeepSeek is developing its own AI chips, three informed sources revealed. The chip is designed specifically for inference scenarios, rather than for model training. The project was launched approximately one year ago and remains in the early stages. The company has engaged with chip design, wafer foundry, and storage enterprises, and has quietly increased recruitment of chip design engineers without publicly posting job listings. If successfully developed, DeepSeek will reduce its reliance on Nvidia and Huawei Ascend chips, following the trend of global AI giants such as OpenAI and Anthropic developing their own hardware. Affected by U.S. export controls, DeepSeek previously shifted from Nvidia H800 to Huawei chips. This self-developed chip is regarded as a significant strategic transformation. Meanwhile, DeepSeek also plans to complete its first round of external financing, with a fundraising scale of approximately $7 billion, and a valuation reaching $52 billion to $59 billion.
Nvidia's market cap breaks $5 trillion again
as of the close of US stocks on April 24, Nvidia's stock price rose over 4%, pushing its market cap above $5 trillion. This marks the first time in nearly six months, since late October last year, that Nvidia's market cap has surpassed $5 trillion again.A report released by Stanford University last week mentioned the rapid adoption of AI. The report stated that AI is being adopted at an unprecedented rate, with the adoption rate of generative AI reaching 53%, faster than the adoption speed of personal computers and the internet. However, DeepSeek released its new model, DeepSeek-V4, which features a million-character ultra-long context and achieves leading performance in China and the open-source field in terms of agent capabilities, world knowledge, and reasoning ability. This model was developed in collaboration with Huawei Ascend. The cooperation and adaptation of cutting-edge models with domestic computing power providers are expected to promote the use of domestic computing power, which objectively also poses a challenge to Nvidia. (Yicai Global)