Mar 5, 2021|

JD Cloud to Release Self-developed Server


by Ling Cao

JD Cloud released the new generation of its self-developed server on Mar 2, which will be officially put into use in April. As the important cloud based infrastructure for the industry, JD aims to continuously upgrade the product to support and drive business development.

The new server will not only help with JD’s internal applications, but also serve clients externally, which require high stability and flexibility at scale, as well as cost-effectiveness.

New generation of JD’s self-developed server

To achieve this goal, JD has adapted the product for multiple sectors, incorporating the latest processor technologies, solid-state storage, non-volatile memory and heterogeneous computing. For example, by cooperating deeply with chip manufacturers, the server’s application carrying capability has improved by over two times compared with standard servers at the same price.

In addition, the new server uses an integrated design for its cabinet, IT device and cables, which can reduce the tedious installation process associated with a traditional server, resulting in narrowed layout cost, as well as saving preparation time for enterprises.

A representative for JD Cloud shared, “JD Cloud is always exploring how to improve performance of the product, in order to achieve the optimized cost and efficiency. Going forward, JD will open these capabilities to outside partners, helping with the industry development as a whole.”

JD continues to do R&D in cloud computing, which has over 870,000 registered users, and over 40,000 enterprise clients. JD also holds one of world’s largest scale docker clusters and CPU clusters. It was also one of the technology providers to support the smooth operation for the Spring Festival Gala’s red envelope initiative. In February, JD released Jing Gang(京刚), which is a self-developed virtual and integrated software and hardware cloud based structure, allowing manufacturers to output cloud computing ability based on clients’ demands more efficiently.