#Germany #Huawei #Munich #Industrial Intelligence #AI Data Lake

Huawei Unveils AI Data Lake Solution to Boost Industrial Intelligence

On April 29, 2025, Huawei unveiled its AI Data Lake Solution during the 4th Huawei IDI Forum (Innovative Data Infrastructure) held in Munich, Germany. This groundbreaking solution is designed to expedite the application of artificial intelligence (AI) across various sectors. In his keynote speech entitled "Data Awakening, Accelerating Intelligence with AI-Ready Data Infrastructure," Peter Zhou, Vice President of Huawei and President of Huawei Data Storage Product Line, emphasized the importance of data preparedness to harness AI effectively.

As digital transformation has made significant strides in recent decades, the constant element remains the crucial role of data. Mr. Zhou underscored this point by stating, "To be ready for AI, one must prepare their data. The continuous deepening of industrial digitization is a process of transforming data into information and knowledge."

Key Features of Huawei’s AI Data Lake Solution

The AI Data Lake Solution integrates data storage, management, resource pooling, and the AI toolchain to deliver a robust AI corpus and accelerate model training and inference. This ultimately enables enterprises to leverage AI more efficiently.

Enhanced Performance and Capacity

The AI Data Lake Solution includes the powerful OceanStor A-series storage, which delivers outstanding performance in AI model training. This technology has significantly increased training efficiency for companies like iFLYTEK, a developer specializing in AI technologies. Additionally, advanced inference acceleration technology improves inference performance, reduces latency, and enhances user experience for application deployment, particularly for large models in production environments.

Efficient Data Management for Large AI Datasets

Huawei's OceanStor Pacific All-Flash Scale-Out Storage is designed for high capacity and low power consumption. With a remarkable density of 4 PB/2 U and a mere 0.25 W/TB consumption, it manages exabyte-scale data effortlessly and caters to data-intensive workloads across educational, scientific, and medical imaging fields.

Robust Backup Solutions

For safeguarding AI training corpus and vector databases, the OceanProtect Backup Storage by Huawei offers performance that is ten times faster than mainstream options, alongside a 99.99% accuracy rate in ransomware detection. This ensures the protection of essential data in crucial domains such as oil, gas, and managed service providers (MSPs).

Comprehensive Data Management

The Huawei Data Management Ecosystem (DME) enhances data visibility, manageability, and mobility across different regions. Integrated with the Omni-Dataverse, DME allows clients to eliminate data silos in geographically dispersed data centers. Its capability to retrieve data from over 100 billion files in seconds makes it indispensable for efficiently processing and maximizing data potential.

Intelligent Resource Management

Leveraging virtualization and container technologies, the DCS platform facilitates efficient pooling of various xPU resources and intelligent scheduling. Moreover, the DataMaster in DME enables operations management (OM) with AI Copilot functionalities, encompassing diverse AI applications such as intelligent QA, OM assistance, and inspection expertise, ensuring an exceptional operational management experience.

Conclusion

As industries continue to embrace digital transformation, Huawei's AI Data Lake Solution represents a significant advancement in the utilization of AI technologies. By streamlining data processes, improving model efficiency, and enhancing resource management, Huawei is setting a new benchmark for industries aiming to leverage AI for better outcomes. This innovative approach not only prepares enterprises for future challenges but also aligns with the ongoing evolution of industrial intelligence.