Private deployment of open-source large language models on local servers, ensuring data stays within the internal network. Supports model quantization, lightweight compression, computing resource optimization for cost reduction, Docker/K8s container packaging, inferencing cluster setup, and hybrid cloud architecture deployment.
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Industries such as finance, healthcare, and government with strict data security requirements cannot send data to public large models. We help you deploy open-source large models on local servers, with data staying within the internal network, no compromise on performance, and controlled costs.
