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Huawei Releases AI Data Lake Solution, Positioned to Accelerate Industry Intelligence
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华为发布AI数据湖解决方案,旨在加速各行业对人工智能的采用。该方案集成了数据存储、数据管理、资源管理和AI工具链,提供高质量的AI语料库,加速模型训练和推理,助力企业拥抱AI。该方案包含OceanStor A系列高性能AI存储,可显著提升集群训练效率,其推理加速技术可增强推理性能,降低延迟。OceanStor Pacific全闪存Scale-Out存储提供高容量密度和超低功耗,适用于教育、科研、医疗影像和媒体等领域的数据密集型工作负载。OceanProtect备份存储提供高性能备份和勒索软件攻击检测,保障训练语料库和向量数据库的关键数据安全。

💾 数据存储创新:华为OceanStor A系列高性能AI存储,显著提升集群训练效率,并加速大模型推理应用的部署,通过性能、容量和弹性方面的持续创新,满足AI发展需求。

🗄️ 海量数据高效存储:OceanStor Pacific全闪存Scale-Out存储提供4 PB/2 U的高容量密度和0.25 W/TB的超低功耗,轻松管理EB级别的数据,适用于教育、科研、医疗影像和媒体等数据密集型工作负载。

🛡️ 数据管理能力:华为DME数据管理平台集成Omni-Dataverse,消除地理分散数据中心的数据孤岛,秒级检索百亿级文件,释放数据潜力。

🚀 资源管理优化:DCS平台提供高效的xPU资源池化和智能调度,提升资源利用率。DataMaster提供全场景AI驱动的运维,如智能问答、运维助手和巡检专家,优化运维体验。

Huawei has 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.”

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

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.
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.
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.

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AI数据湖 华为 数据存储 人工智能
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