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Meta's Personal AI Assistant Muse Faces Skyrocketing Computational Demand, Presenting Significant Challenges to Cloud Architecture in Terms of Computing Power and Hardware Resources
5 hour ago /
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Author：小编
Meta's personal AI assistant, Muse, swiftly garnered the attention of hundreds of thousands of users shortly after its release. However, its distinctive operational framework has imposed a tremendous strain on data center computing resources. Even prior to its daily active user count exceeding 1 million, the system was already devouring significant quantities of general-purpose CPU computing power, memory, and storage resources. This underscores the hardware limitations that hinder the large-scale deployment of AI assistant technology.
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