Huawei Innovates AI-Ready Data Storage for Future-Ready Businesses

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In the evolving landscape of artificial intelligence, the role of efficient data storage has become increasingly pivotal, as new demands and challenges continue to emerge. Huawei is steering its data storage strategies to align with the complex needs of AI-powered business environments, aiming to create robust and AI-ready infrastructure. In a detailed presentation at the Mobile World Congress (MWC) 2025 in Barcelona, Xie Qiangqiang, Vice President of Huawei Data Storage Product Line, discussed the company’s forward-thinking approach to data storage solutions that cater to future-ready business needs.

AI and Data Storage Transformation

Artificial intelligence is fundamentally transforming the business world, making it essential to integrate AI into technological frameworks. However, numerous carriers grapple with the issue of siloed data distributed across various applications and data centers, hampering seamless AI integration. To counter this challenge, Huawei has introduced its groundbreaking AI Data Lake, which is designed to streamline the processes of data sharing and management. This innovative platform aims to break down the barriers caused by data silos, thereby facilitating carriers in becoming fully AI-ready.

Effective AI integration necessitates infrastructure that can handle and utilize data efficiently. Huawei’s AI Data Lake is a strategic solution that ensures uninterrupted data flow, making it significantly easier for AI algorithms to access and process essential information without unnecessary delays. By addressing the challenge of data fragmentation, Huawei’s approach provides businesses with the robust foundation needed to leverage the full potential of AI, ultimately enhancing operational efficiency and decision-making.

Performance Optimization

Although GPU cards boast advanced capabilities, their utilization rates often fall disappointingly low. Recognizing this inefficiency, Huawei has developed the OceanStor A Series High-Performance AI Storage as a solution to address the issue. By targeting key areas of inefficiency, this innovative storage solution reduces GPU wait times and prevents redundant inference tasks, significantly boosting utilization rates. As a result, businesses can expect improved performance and enhanced efficiency, with utilization rates rising by as much as 10-30%.

Optimizing GPU performance not only enhances operational efficiency but also translates to substantial cost savings. With Huawei’s cutting-edge solution, businesses stand to benefit from cost reductions of up to 40%, which is particularly advantageous given the increasingly data-intensive and resource-demanding nature of AI applications. This cost-effective approach empowers businesses to allocate resources more strategically, ensuring that AI-driven initiatives are both sustainable and economically viable.

Telco to Techco Evolution

A prominent trend within the industry is the transformation of traditional telecommunications companies (telcos) into comprehensive technology companies (techcos). This evolution reflects the growing importance of data services over conventional connectivity, signaling a shift in operational focus. Storage solutions, previously regarded as mere background elements, have now emerged as crucial components of ICT solution offerings, underpinning the broader strategic vision of techcos.

As telcos evolve into techcos, it becomes imperative for them to prioritize AI-powered data services. Huawei’s AI-ready storage solutions are specifically designed to support this transformation, enabling telcos to seamlessly transition into providers of advanced AI-driven services. By focusing on the modern demands of their clients, telcos can leverage Huawei’s storage solutions to deliver innovative and differentiated offerings. This strategic shift not only enhances their competitive positioning but also underscores the pivotal role of AI-ready data storage in the technology-driven business landscape.

Pioneering Innovation

Innovation forms the cornerstone of Huawei’s data storage strategy, with the company continually seeking to push the boundaries of what is possible. Huawei’s AI-Ready data storage solutions integrate a diverse array of components, including compute, storage, virtualization, container technologies, big data, and AI. One of the most significant breakthroughs is the drastic reduction in AI cluster deployment time—from several months to just seven days—thanks to Huawei’s advanced technology.

The applications of these innovations extend far beyond the telecom sector, encompassing various industries such as healthcare, AI call centers, and smart manufacturing. In healthcare, for instance, AI-ready storage solutions have revolutionized the efficiency of medical data processing, enabling faster and more accurate diagnoses. Similarly, other industries are experiencing enhanced operational efficiencies and improved outcomes due to the advanced data storage technologies pioneered by Huawei. The wide-ranging impact of these innovations showcases the versatility and far-reaching benefits of Huawei’s AI-Ready data storage solutions.

Ensuring Data Protection

Given the inherently data-heavy nature of AI applications, safeguarding this data becomes a crucial consideration. Xie Qiangqiang emphasizes the importance of robust protection against the growing threat of ransomware attacks that frequently target both production and backup sites. Huawei’s comprehensive end-to-end data protection solution incorporates advanced measures such as air-gap technology and multi-layered ransomware protection, ensuring a high level of security.

These protective measures guarantee rapid recovery in the event of an attack by ensuring the availability of clean data. Additionally, Huawei’s solution includes a 4 DC multi-active architecture and isolated recovery zones, which further bolster the resilience and security of its data storage infrastructures. This comprehensive approach to data protection ensures that businesses can maintain continuity and minimize downtime, even in the face of sophisticated cyber threats, thereby safeguarding their critical data assets.

Addressing Regional Needs

Huawei operates in a diverse array of global markets, each with unique data storage requirements. For example, in China, the focus is on supporting AI clusters and efficiently managing inference scenarios, reflecting the region’s advanced technological landscape. Conversely, areas such as the Middle East and Europe have distinct storage requirements based on their specific technological and regulatory environments.

Despite these regional variations, the core principles guiding Huawei’s data strategy remain consistent. Key aspects such as performance, reliability, scalability, and manageability are upheld uniformly, ensuring that Huawei’s solutions are adaptable to meet any regional demand effectively. This flexibility allows Huawei to tailor its offerings to the specific needs of various markets, thereby delivering solutions that are both relevant and highly effective.

Commitment to Sustainability

In the rapidly evolving realm of artificial intelligence, efficient data storage is becoming ever more crucial due to emerging demands and challenges. Huawei is focusing its data storage strategies to meet the intricate requirements of AI-driven business settings, with the goal of developing strong and AI-ready infrastructure. During an in-depth presentation at the Mobile World Congress (MWC) 2025 in Barcelona, Xie Qiangqiang, Vice President of Huawei Data Storage Product Line, elaborated on the company’s innovative approach to data storage solutions tailored for future-ready business needs. He emphasized how Huawei is positioning itself to address the growing complexities in the AI sphere, ensuring their solutions align with the rigorous demands of modern technology landscapes. With a focus on scalability, performance, and reliability, Huawei aims to provide comprehensive storage systems designed to handle the vast amounts of data generated by AI applications, ultimately supporting the seamless integration of AI in business operations.

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