Dragon Lizard Operating System Release Update Fully Supports Intelligent Computing
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On July 20th, Global Network Technology Comprehensive Report reported that the leader of domestic open-source operating systems, Long Liza Community, recently announced the launch of its self-developed root release version - AnolisOS23, which provides comprehensive support for intelligent computing. It includes built-in AI components in rpm format, mainstream AI frameworks Tensorflow2, Pytorch, and supports one click installation of NVIDIA GPU drivers, CUDA libraries, and more
On July 20th, Global Network Technology Comprehensive Report reported that the leader of domestic open-source operating systems, Long Liza Community, recently announced the launch of its self-developed root release version - AnolisOS23, which provides comprehensive support for intelligent computing. It includes built-in AI components in rpm format, mainstream AI frameworks Tensorflow2, Pytorch, and supports one click installation of NVIDIA GPU drivers, CUDA libraries, and more. The Dragon Lizard Community will build an AI container image ecosystem based on AnolisOS23, provide mainstream AI training/inference images, and release out of the box modelscope/huggingface AI large model practice images, steadily improving the AI support blueprint.
Ma Tao, the chairman of the Longlong Community, said, "We firmly judge the future cloud trend and have also considered the current support for domestic hardware ecology and full AI scenarios. We have achieved three major upgrades in positioning, technology, and ecology on AnolisOS23, hoping to further meet users' needs for high-quality and high-performance operating systems.
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