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解读|Arm机器学习处理器的独特之处

更新时间  2022-01-09 00:13 阅读
本文摘要:的功能与罕见的神经框架紧密结合,增加了网络配置成本,减缓了发售时间。

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的功能与罕见的神经框架紧密结合,增加了网络配置成本,减缓了发售时间。【图像来源:Armmunity所有者:Armmmunity···········································································································································································································································································································································································································································································································································································································································································································································································································································································································································································································同时,板载内存允许中央内存权重和特点图,增加外储通信,缩短电池使用寿命,这是对消费者想要的标准用户体验的又一次接受。重要的是,这个ML处理器充分灵活,可以反对市场需求更高的用例,运营更多,发挥更大的特性:在一个集团中可以配备8个内核,超过32TOP/ss的性能,或者在网格配备中超过64个NPUs。最后,这个ML处理器加强了性能,提高了效率,提高了网络的配置成本,通过同样的功能和可编程引擎的密切结合,使固件随着新功能的开发而改版,这个设计过时了。

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总而言之,通过能力、效率和灵活性三者的融合,这款ML电脑处理器在边缘定义了ML电脑推理小说的未来,开发者在创建当今最佳用户体验的同时,满足了未来用例市场的需求。


本文关键词:解读,Arm,机器,学习,处理器,的,独特,电子游戏官网,之处,的

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