Company News
May 06, 2026
A Powerhouse Partnership! OE-AIPaaS, the AI Computing Power Open Platform from OE Cloud, Receives Huawei Ascend Technology Certification
Recently, Wuhan OS-easy Computing Co., Ltd.’s “OE-AIPaaS AI Computing Power Open Platform” and Huawei Technologies Co., Ltd.’s “Ascend AI Infrastructure Software and Hardware Platform” successfully completed and passed the Ascend Application Development Technology Certification, and OS-easy received the Ascend Technology Certification. This successful certification represents a significant milestone in the deepening cooperation between the two parties. It signifies their joint commitment to building an artificial intelligence ecosystem and holds great significance for promoting the in-depth application and localization of the AI industry.

OS-easy AI Computing Power Open Platform (OE-AIPaaS) is a platform software designed for the AI era, specifically tailored for scenarios such as AI education, scientific research, and academic studies. It enables the integration of diverse heterogeneous computing resources, unified management, and open access to computing power. By pooling resources across physical devices, computing power partitioning and aggregation, as well as time-sharing, elastic scheduling, and monitoring of computing power, the platform delivers a variety of application scenarios to users. It serves diverse contexts such as experimental teaching, scientific research, and personalized learning, ensuring flexible and stable computing power scheduling to achieve cost reduction and efficiency gains in the era of intelligent computing.
The successful certification of OE-AIPaaS, OS-easy’s AI computing power open platform, under the Ascend technology certification program not only demonstrates its innovative capabilities in the field of AI computing power but also reflects the deep collaboration between OS-easy and Huawei Ascend in building a domestic AI ecosystem. Moving forward, OS-easy will continue to collaborate with partners, leveraging its leading computing power scheduling capabilities and scenario-based solutions to drive the efficient implementation of AI technology in education, scientific research, and industry applications, thereby helping industries across the board accelerate their transition into a new era of intelligence and digitalization.