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On May 20, JD Cloud released nine major products in Shanghai, including the JoyScale AI Computing Platform, the JoyBuild Big Model Development and Computing Platform, and the JoyAgent Smart Device 2.0, as well as all-in-one machines for the three vertical industries of healthcare, industry, and finance, to help enterprises comprehensively restructure AI infrastructure, generate enterprise-specific digital employees, and accelerate their progress towards deep application. JD Cloud said that with the acceleration of deep application, the induction rate of digital employees will become a standard for measuring the advanced nature of an enterprise. How much work is done by AI determines how fast an enterprise can run in the future. Next-generation agents have become representatives of deep applications, and JD Cloud JoyAgent 2.0 is helping enterprises generate professional digital employees. At the same time, the explosion of large-scale applications will also drive the standardization of AI infrastructure. AI Infra 1.0 is already in place.

Zhitongcaijing·05/20/2025 04:17:02
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On May 20, JD Cloud released nine major products in Shanghai, including the JoyScale AI Computing Platform, the JoyBuild Big Model Development and Computing Platform, and the JoyAgent Smart Device 2.0, as well as all-in-one machines for the three vertical industries of healthcare, industry, and finance, to help enterprises comprehensively restructure AI infrastructure, generate enterprise-specific digital employees, and accelerate their progress towards deep application. JD Cloud said that with the acceleration of deep application, the induction rate of digital employees will become a standard for measuring the advanced nature of an enterprise. How much work is done by AI determines how fast an enterprise can run in the future. Next-generation agents have become representatives of deep applications, and JD Cloud JoyAgent 2.0 is helping enterprises generate professional digital employees. At the same time, the explosion of large-scale applications will also drive the standardization of AI infrastructure. AI Infra 1.0 is already in place.