Huawei Launches AI Data Lake Solution to Enhance Industry Intelligence Capabilities

Huawei Accelerates Industry Intelligence with AI Data Lake Solution

On April 29, 2025, Huawei unveiled its innovative AI Data Lake Solution during the 4th Huawei Innovative Data Infrastructure (IDI) Forum held in Munich, Germany. Peter Zhou, the Vice President of Huawei and head of the Data Storage Product Line, introduced this groundbreaking solution in a keynote presentation titled "Data Awakening: Accelerating Intelligence with AI-Ready Data Infrastructure."

The event highlighted the ongoing significance of data in digital transformation, which, despite evolving for decades, remains a cornerstone for technological advancement. Zhou emphasized, "To be AI-ready, organizations must first become data-ready. The continuous deepening of industrial digitization is a process of transforming data into information and knowledge."

The proposed AI Data Lake Solution integrates data storage, management, resource management, and AI toolchains, providing a high-quality corpus for AI. This enables businesses to leverage AI technologies effectively while accelerating model training and inference processes.

Key Components of the AI Data Lake Solution

1. Data Storage Improvements:
The solution features ongoing innovations in the performance, capacity, and resilience of data storage solutions, particularly through the OceanStor A-series, which claims unparalleled performance levels. For instance, iFLYTEK, a developer in AI technologies, reported a significant increase in cluster training efficiency thanks to these advancements.

2. Accelerated AI Model Training:
Huawei's advanced inference acceleration technology enhances inference performance while reducing latency. This improvement boosts the usability of applications, facilitating smoother deployment of inference applications in production environments, especially those with large AI models.

3. Efficient Storage for AI Big Data:
The OceanStor Pacific Scale-Out Storage utilizes All-Flash technology, boasting a high capacity of 4 Petabytes per 2 rack units and a minimal energy consumption of just 0.25 watts per terabyte. This design is optimized for managing Exabyte-level data, making it ideal for data-heavy workloads in diverse fields such as education, scientific research, medical imaging, and media.

4. Backup Solutions for AI Corpus:
To ensure the security of essential data, Huawei’s OceanProtect Backup Storage provides ten times the backup performance of conventional solutions and boasts a 99.99% detection accuracy against ransomware attacks. This feature is crucial for safeguarding training corpus and vector databases in sectors like oil and gas.

5. Transparent Data Management:
The Huawei Data Management Engine (DME) is designed to integrate an Omni-DataVerse, allowing organizations to eliminate data silos across geographically dispersed data centers. The DME’s ability to retrieve data from over 100 billion files in seconds helps customers process data efficiently to harness its full potential.

6. Resource Management:
The DCS platform enhances resource utilization through efficient pooling of various processing units (xPUs) and intelligent planning. This is facilitated by containerization and virtualization technologies, significantly optimizing the overall resource management process. Additionally, the DataMaster in DME integrates AI-assisted operational management, enhancing user experience with smart applications such as intelligent Q&A systems and operational aides.

As the AI landscape grows exponentially, Huawei’s AI Data Lake Solution appears well-positioned to foster the integration of AI across numerous sectors, thereby accelerating the journey towards a more intelligent future. The insights and capabilities offered by this solution are set to empower organizations, preparing them for the next wave of digital transformation.

This innovative approach underscores the critical role technology plays in meeting modern industrial needs, propelling forward the capabilities of data-driven decision-making and advanced AI applications.