Huawei Introduces Next-Gen Data Storage Systems for AI Adoption Among Operators

Huawei's Groundbreaking Data Storage Solutions at MWC 2025



At the Mobile World Congress (MWC) 2025 in Barcelona, a significant announcement was made by Dr. Peter Zhou, President of the Data Storage Product Line at Huawei. He delivered a keynote highlighting the launch of HAi (Huawei AI) ready data storage systems designed to propel telecommunications operators into the AI-powered technology landscape.

The address took place during a product launch event, marking Huawei's commitment to aiding operators in realizing the potential of AI to transform their operations. Dr. Zhou emphasized that we are entering a golden age of data, driven by AI's capabilities to revolutionize various industries.

Transforming Data into High-Quality Assets


As global operators continually seek to enhance their business value, they are capitalizing on innovative application scenarios, such as smart homes and digital factories. This shift entails higher demands on data storage capacities and business service models. Dr. Zhou shared insights into Huawei's solutions, stating, "Huawei Data Storage provides AI-ready data lake solutions, a variety of data storage services, and the FlashEver business model, enabling operators to turn chaotic data into high-quality assets and unlock their value."

The AI-ready data lake concept aims to dismantle data silos, ensuring that data becomes visible, manageable, and accessible. For critical production workloads, Huawei unveiled its next-generation converged All-Flash storage system, OceanStor Dorado, and the high-performance AI storage series, OceanStor A. These solutions are engineered to perform up to 100 million input/output operations per second, boasting financial-grade reliability and efficient AI training and inference capabilities, supporting tens of billions of daily workloads and robust mobile financial services.

Moreover, enhanced object storage facilitates seamless integration of operator services with cloud-native applications and AI functionalities. Addressing the need for large-scale data management, Huawei's All-Flash Scale-Out OceanStor Pacific system provides high density and low energy consumption, with scalability designed to counter the cost pressures of emerging services like live streaming and extended reality gaming.

In addition, Huawei introduced its next-gen All-Flash OceanProtect backup storage, which accelerates data recovery five times faster than industry alternatives—crucial for urgent service requirements and AI application development, ensuring that every bit of value is safeguarded.

Overcoming AI Adoption Challenges


Despite the immense potential of AI, operators face numerous hurdles in its adoption, including data engineering limitations, inadequate AI model development platforms, prolonged data preparation times, slow model training, and application development complexities. To mitigate these issues, Huawei's DCS AI Solution provides a comprehensive AI processing toolchain and a containerized environment, expediting the advancement and large-scale deployment of AI models.

Peter Zhou also introduced the FlashEver business model, which aims to protect operator investments by offering a scalable and flexible architecture for seamless upgrades of active networking equipment. Coupled with Huawei's storage platform services, which include flexible purchasing options, service level agreements, and diverse data storage services, this ensures a high-quality customer experience.

Reiterating Huawei's dedication to ongoing innovation, Dr. Zhou emphasized the importance of building a foundation of AI-ready data storage, essential for empowering the industry's data storage capabilities and facilitating AI adoption across the board. The launch at MWC 2025 illustrates Huawei's pivotal role in driving technological advancements in data management and its potential to significantly reshape industries worldwide.

For more detailed visuals and insights from the event, visit the provided photo link.

Topics Consumer Technology)

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