On December 30th, JD and Huawei Technologies Co., Ltd. officially unveiled a profound technological strategic partnership. This alliance transcends mere business collaboration; it directly tackles the pivotal challenges facing today's digital business infrastructure.

The duo announced their intention to concentrate on pivotal domains such as intelligent advertising, large-scale models, and cloud computing. By amalgamating JD's prowess in cloud computing and advertising algorithms with Huawei's Kunpeng computing technology, they aim to collectively surmount advertising technology hurdles in high-concurrency scenarios and construct the next generation of efficient, intelligent advertising technology infrastructure.

The cooperation blueprint reveals that both entities have initiated a joint innovation project, pinpointing low-latency inference in advertising as a core technology demanding focused R&D. Advances in this realm are vital for managing the unprecedented peak traffic during major e-commerce events and ensuring the real-time performance and stability of the advertising system.

The partnership between JD and Huawei signifies that these tech behemoths are laying a robust foundation of computational power and algorithms for the future of intelligent marketing from the ground up, with the potential to redefine the advertising technology industry landscape.

As the e-commerce ecosystem flourishes, peak traffic during monumental sales events like "618" and "Double 11" has surged exponentially, imposing unprecedented demands on the real-time retrieval and intelligent reasoning capabilities of advertising operations.

Millisecond-level response delays can significantly impact commercial conversions. Low-latency inference has emerged as a critical technological bottleneck affecting user experience and platform revenue, presenting a shared challenge for the industry.

To overcome this obstacle, JD and Huawei have resolved to embark on a full-stack deep optimization journey, spanning from the underlying hardware to the upper-layer applications. The collaboration will encompass underlying hardware, foundational software, and upper-layer applications in a comprehensive manner.

Specifically, both parties will concentrate on constructing more efficient container affinity scheduling and Quality of Service (QoS) capabilities, with the fundamental objective of ensuring advertising services maintain utmost stability and high performance even during extreme traffic surges, such as midnight on "Double 11". This entails collaborative design and tuning of the entire technology stack, from chips, servers, and operating systems to containerized applications.

This cooperation is grounded in the existing technological validation achieved by both parties. Previously, through full-stack optimization practices leveraging Huawei's Kunpeng processors and Euler operating systems, both entities successfully demonstrated the feasibility of significantly enhancing computing performance in specific business scenarios.

A relevant official from JD Cloud remarked that this collaboration with Huawei is a pivotal move for both parties to fortify their technological foundations and spearhead industry innovation.

Within this framework, JD Cloud will deeply optimize computing, networking, and storage performance, capitalizing on the potent computing capabilities provided by Huawei's Kunpeng supernodes.

Its core objective is to develop a dedicated inference framework boasting ultra-low latency and ultra-high performance, ultimately culminating in a complete set of self-developed inference technology stacks. The establishment of this technology stack is not merely a tool to alleviate current traffic pressures but also a new catalyst propelling the sustained and efficient growth of JD's core advertising business.

Looking ahead, the long-term vision of cooperation between the two entities extends beyond addressing present performance issues. JD stated that it will continue to integrate Huawei's profound expertise in underlying technologies such as Kunpeng computing and foundational software, pushing the boundaries of exploration into more avant-garde domains.

This encompasses directions such as the automation of advertising placement and the intelligentization of creative generation. Through the profound application of AI technologies like large-scale models, future advertising systems are anticipated to achieve a leap from precise matching to personalized creative generation, thereby jointly ushering in a new era of intelligent marketing with brand merchants on the platform.

This cross-border technological cooperation between JD and Huawei underscores the resolve of leading tech firms to confront complex system challenges and collectively drive the upgrade of critical infrastructure. At a juncture where AI technology is profoundly transforming various industries, this collaboration provides robust technological support and vast imaginative space for the intelligent evolution of the digital marketing ecosystem, with its outcomes poised to profoundly impact the efficiency of the entire industry.

References:

https://www.9fzt.com/9fztgw_1_top/84dbaf67579b8aaf28eba6f2559213c2.html

https://www.donews.com/news/detail/1/6340964.html