Huawei Unveils AI Data Lake Solution to Accelerate Industry Intelligence
On April 29, 2025, during the 4th Huawei Innovative Data Infrastructure (IDI) Forum held in Munich, Germany, Huawei revealed its latest AI Data Lake solution aimed at streamlining the adoption of artificial intelligence across various sectors. Peter Zhou, Vice President of Huawei and head of the Data Storage Product Line, introduced this innovative technology in his keynote address titled "Data Awakening: Accelerating Intelligence with AI-Ready Data Infrastructure."
Zhou emphasized the critical and unchanging role of data in the ongoing digital transformation. He stated, "To be prepared for artificial intelligence, one must first be ready for data. The continuous deepening of industrial digitalization involves transforming data into actionable information and knowledge." The AI Data Lake provides high-quality AI intelligence by integrating data storage, data management, resource management, and a comprehensive AI toolchain.
The multi-faceted capabilities of the AI Data Lake were elaborated upon by Zhou, highlighting innovations in several areas. Notably, performance, capacity, and resilience in data storage have seen continuous advancements. For instance, the high-performance AI storage solution known as the Huawei OceanStor A Series allows AI technology developers, such as iFLYTEK, to significantly enhance training cluster efficiency. Its advanced inference acceleration technology improves inference performance, reduces latency, and enhances user experience by facilitating the deployment of large-scale inference applications in production environments.
Moreover, the OceanStor Pacific All-Flash Scale-Out storage solution boasts an outstanding density capacity of 4PB/2U with a remarkably low energy consumption of 0.25W/TB. This design accommodates exabyte-scale data requirements and is well-suited for data-intensive workloads in education, scientific research, medical imaging, and media sectors. Additionally, Huawei's OceanProtect Backup provides a backup performance that is ten times superior to traditional options, achieving an impressive 99.99% accuracy rate in detecting ransomware attacks, thereby safeguarding critical data for training corpuses and vector databases, notably in industries like oil and gas.
The AI Data Lake also features Huawei DME (Data Management Engine), a platform designed to enhance data visibility and manageability across regions. This platform integrates Omni-Dataverse to assist customers in breaking down data silos prevalent in geographically dispersed data centers. DME's capability to retrieve data from over 100 billion files within seconds allows clients to process their data more efficiently and unlock its full potential.
Resource management also plays a crucial role in the AI Data Lake, where diverse xPU pooling and intelligent resource scheduling are made efficient through DCS (Data Center Solutions) technology. This platform leverages virtualization and container technologies, boosting resource utilization. Additionally, DataMaster within DME facilitates AI-driven operation management across all scenarios, utilizing features like AI Copilot to offer intelligent QA assistance, operational insights, and inspection expertise, ultimately creating an outstanding operational management experience.
As industries increasingly recognize the importance of AI in enhancing productivity and innovation, Huawei's AI Data Lake solution positions itself as a pivotal technology that not only supports the current needs of businesses but also anticipates future demands. With its robust infrastructure and comprehensive toolchain, this solution is set to redefine the landscape of data-driven intelligence across sectors, paving the way for a smarter future.
In conclusion, Huawei's commitment to advancing AI readiness through its AI Data Lake underscores its role as a leader in the tech industry, continuously pushing the boundaries of what is achievable with data in the era of artificial intelligence.
Zhou emphasized the critical and unchanging role of data in the ongoing digital transformation. He stated, "To be prepared for artificial intelligence, one must first be ready for data. The continuous deepening of industrial digitalization involves transforming data into actionable information and knowledge." The AI Data Lake provides high-quality AI intelligence by integrating data storage, data management, resource management, and a comprehensive AI toolchain.
The multi-faceted capabilities of the AI Data Lake were elaborated upon by Zhou, highlighting innovations in several areas. Notably, performance, capacity, and resilience in data storage have seen continuous advancements. For instance, the high-performance AI storage solution known as the Huawei OceanStor A Series allows AI technology developers, such as iFLYTEK, to significantly enhance training cluster efficiency. Its advanced inference acceleration technology improves inference performance, reduces latency, and enhances user experience by facilitating the deployment of large-scale inference applications in production environments.
Moreover, the OceanStor Pacific All-Flash Scale-Out storage solution boasts an outstanding density capacity of 4PB/2U with a remarkably low energy consumption of 0.25W/TB. This design accommodates exabyte-scale data requirements and is well-suited for data-intensive workloads in education, scientific research, medical imaging, and media sectors. Additionally, Huawei's OceanProtect Backup provides a backup performance that is ten times superior to traditional options, achieving an impressive 99.99% accuracy rate in detecting ransomware attacks, thereby safeguarding critical data for training corpuses and vector databases, notably in industries like oil and gas.
The AI Data Lake also features Huawei DME (Data Management Engine), a platform designed to enhance data visibility and manageability across regions. This platform integrates Omni-Dataverse to assist customers in breaking down data silos prevalent in geographically dispersed data centers. DME's capability to retrieve data from over 100 billion files within seconds allows clients to process their data more efficiently and unlock its full potential.
Resource management also plays a crucial role in the AI Data Lake, where diverse xPU pooling and intelligent resource scheduling are made efficient through DCS (Data Center Solutions) technology. This platform leverages virtualization and container technologies, boosting resource utilization. Additionally, DataMaster within DME facilitates AI-driven operation management across all scenarios, utilizing features like AI Copilot to offer intelligent QA assistance, operational insights, and inspection expertise, ultimately creating an outstanding operational management experience.
As industries increasingly recognize the importance of AI in enhancing productivity and innovation, Huawei's AI Data Lake solution positions itself as a pivotal technology that not only supports the current needs of businesses but also anticipates future demands. With its robust infrastructure and comprehensive toolchain, this solution is set to redefine the landscape of data-driven intelligence across sectors, paving the way for a smarter future.
In conclusion, Huawei's commitment to advancing AI readiness through its AI Data Lake underscores its role as a leader in the tech industry, continuously pushing the boundaries of what is achievable with data in the era of artificial intelligence.
Topics Consumer Technology）
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