DeepSeek seeks ‘total victory’ over closed-source AI with new open-source tool
Chinese artificial intelligence start-up DeepSeek has fully open-sourced an internally developed framework designed to run AI models efficiently, as a senior researcher at the company described the growing divide between open-source and closed-source AI as a battle between “light and darkness”. The company on Tuesday released DeepInfer, an inference framework tailored to support its…
Chinese AI startup DeepSeek has unveiled its latest open-source tool, DeepInfer, a framework designed to optimize the performance of its DeepSeek-V4.1-Flash model. The company released DeepInfer on Tuesday, detailing its ability to run the model efficiently on both Nvidia's SM100 Blackwell GPUs and Huawei's Ascend 950 chips. DeepSeek-V4.1-Flash, launched in September, boasts a new architecture that reduces memory requirements while outperforming its predecessor, V1 Pro, and has been recognized as one of the world's most powerful and cost-efficient open-weight models.
By open-sourcing DeepInfer, DeepSeek aims to lower compute costs, reduce energy usage, and make AI more affordable for third-party cloud providers. In a recent statement, DeepSeek compared open-source and closed-source AI to a battle between "light and darkness," emphasizing its commitment to defeating closed-source systems for the betterment of humanity.
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