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Huawei Releases AI Data Lake Solution, Positioned to Accelerate Industry Intelligence Français


News provided by

Huawei

Apr 30, 2025, 05:11 ET

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MUNICH, April 30, 2025 /CNW/ -- On April 29, 2025, at the 4th Huawei Innovative Data Infrastructure (IDI) Forum in Munich, Germany, Huawei launched the AI Data Lake Solution, designed to accelerate AI adoption across industries. Peter Zhou, Vice President of Huawei and President of Huawei Data Storage Product Line, introduced the solution in his keynote speech: "Data Awakening, Accelerating Intelligence with AI-Ready Data Infrastructure."

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Peter Zhou, Vice President of Huawei and President of Huawei Data Storage Product Line, delivering his keynote speech
Peter Zhou, Vice President of Huawei and President of Huawei Data Storage Product Line, delivering his keynote speech

While digital transformation has evolved over decades and brought sweeping change, one thing remains constant: the critical importance of data. This was highlighted in Zhou speech: "To be Al-ready, get data-ready. The continuous deepening of industry digitalization is a process of transforming data into information and knowledge."

By integrating data storage, data management, resource management, and the AI toolchain, the AI Data Lake Solution delivers a high-quality AI corpus and speeds up model training and inference, empowering enterprises to embrace AI.

In his address, Zhou provided details about the products and technologies that are part of the Data Lake solution:

  • Data storage: continuous innovation in performance, capacity, and resilience
  1. Accelerated AI model training and inference: The Huawei OceanStor A series high-performance AI storage delivers exceptional performance. It, for instance, enabled the AI technologies developer iFLYTEK, among others, to significantly boost cluster training efficiency. Its advanced inference acceleration technology enhances inference performance, reduces latency, and elevates the application user experience—accelerating the deployment of large-model inference applications in production environments.
  2. Efficient storage of mass AI data: The OceanStor Pacific All-Flash Scale-Out Storage offers a high capacity density of 4 PB/2 U and ultra-low power consumption of 0.25 W/TB. Designed to manage exabyte-scale data with ease, it is well-suited for data-intensive workloads across education, scientific research, medical imaging, and media.
  3. AI corpus and vector database backup: Huawei's OceanProtect Backup Storage provides 10 times higher backup performance than other mainstream options and boasts 99.99% ransomware attack detection accuracy, safeguarding key data of training corpus and vector databases in fields like oil and gas and MSPs.
  • Data management: data visibility, manageability, and mobility across regions

Huawei DME is a data management platform that integrates the Omni-Dataverse to help customers eliminate data silos in geographically dispersed data centers. In addition, DME's ability to retrieve data from over 100 billion files in seconds helps customers efficiently process data and unlock its full potential.

  • Resource management: pooling of diverse xPUs and intelligent scheduling of AI resources

Powered by virtualization and container technologies, the DCS platform provides efficient xPU resource pooling and intelligent scheduling, boosting resource utilization. In addition, the DataMaster in DME enables all-scenario, AI-powered O&M with AI Copilot, offering a range of AI applications such as intelligent Q&A, O&M assistant, and inspection expert, creating an exceptional O&M experience.

SOURCE Huawei

Yishan Chen, [email protected]

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