Xiaohongshu adopts a new cloud model, and the key is to find like - minded people.

The Dragon Boat Festival holiday is over, and another round of travel guides on Xiaohongshu has been verified. Nowadays, more and more people are starting to search for their desired travel guides on Xiaohongshu.

In fact, we almost perform the action of "searching" on any APP. However, the search results provided by the APP and the recommended content in the subsequent information flow directly determine the efficiency of problem - solving.

Traveling during the holiday is a perfect example. Searching for guides on Xiaohongshu is just the first step. What's more important next is that the guides recommended by Xiaohongshu will also be seen by other "like - minded" people with the same travel interests. They can share, discuss and optimize these guides together, making the formulation of travel plans more efficient and comprehensive.

The powerful search and recommendation algorithms play a crucial role in Xiaohongshu's ability to achieve this goal. Beneath search and recommendation are content algorithms and big - data recommendation. Further down is Xiaohongshu's cloud - native platform, and at the bottom for support is the cloud computing power infrastructure.

Still taking holiday travel as an example, in the past, when we traveled, we would first search for guides online and follow them. Initially, Xiaohongshu's approach to using the cloud was similar, adopting a strategy of "using whatever is available in the cloud".

However, after the rapid growth of its business volume and user scale, Xiaohongshu has gradually evolved into a comprehensive platform integrating content creation, social interaction and e - commerce sales.

The search and recommendation business and unique algorithms that help Xiaohongshu achieve differentiated competition also put forward higher requirements for the way of using the cloud. It needs more customized gameplay, that is, a cloud - using guide more suitable for itself.

In the field of cloud services, the "perfect like - minded partner" that Xiaohongshu has found is Alibaba Cloud.

First of all, Xiaohongshu builds a stable technical foundation centered around Alibaba Cloud Container Service ACK. Through self - developed CIPU architecture virtualization technology, it provides powerful computing power for Elastic Compute Service (ECS) based on AMD EPYC processors, and constructs its unique cloud - native platform. This enables Xiaohongshu to focus fully on optimizing the search and recommendation functions without having to worry about the complex construction and stability guarantee of the underlying facilities, helping users find travel guides quickly and accurately.

In addition, Xiaohongshu also wants to implement many "tailor - made" scenarios. Combining its special business scenarios, Xiaohongshu actively participates in Alibaba Cloud's open - source projects such as Koordinator and OpenKruise. Through co - construction, it finally realizes a set of solutions suitable for Xiaohongshu.

Through the "cloud foundation + in - depth customization", Xiaohongshu, Alibaba Cloud and AMD have created a new cloud - using model, jointly promoting the formulation of industry standards and the development of the technological ecosystem.

In other words, only when each party in the cloud - computing scenario is not only a simple user or service provider, but also an indispensable co - builder, can it provide continuous new impetus for the establishment of the entire technological ecosystem.