Dell targets modular AI infrastructure as the key to scaling enterprise deployments

AI 中文解读

戴尔打出一张新牌：模块化AI基础设施。当越来越多企业把AI从“实验阶段”推向“实际生产”，如何快速落地、控制成本就成了最大难题。戴尔的策略是把AI基础设施像乐高积木一样拆解，企业可以根据自身需求灵活拼装，不必一次性投入巨资建全套系统，升级和扩展也方便得多。所谓模块化AI基础设施，简单说就是戴尔把AI所需的计算、存储、网络等硬件和软件能力做成标准化的“零件”，企业需要哪块就安装哪块。就像装修不用一次买齐所有家具，而是先买必需的书桌和椅子，以后有需求再添置书架。这种“按需组合”模式大幅降低了中小企业落地AI的门槛，也避免了因技术快速迭代导致的浪费。对普通人来说，这意味着未来会有更多企业愿意尝试AI——比如你的银行APP可能更快推出智能客服，医院挂号系统能更精准预估等待时间，甚至你常逛的电商平台会用AI推荐更贴心的商品。因为部署成本下降，企业能更快把AI创意变成真实服务，最终受益的还是普通用户。

As enterprises move AI initiatives from proof of concept to production, attention is shifting toward modular AI infrastructure that can simplify deployment and scaling. Controlling costs and simplifying operations are emerging as the defining challenges of enterprise AI adoption. The central challenge for enterprises is making the jump from proof of concept to production. While […] The post Dell targets modular AI infrastructure as the key to scaling enterprise deployments appeared first on SiliconANGLE.