Huawei Launches AI Data Lake Solution to Accelerate Industrial Intelligence Development
On April 29, 2025, during the 4th Huawei Innovative Data Infrastructure (IDI) Forum held in Munich, Germany, Huawei unveiled the AI Data Lake Solution. This innovative offering is designed to expedite the integration of artificial intelligence (AI) across numerous industry sectors. Peter Zhou, Vice President of Huawei and President of the Huawei Data Storage Product Line, introduced this solution during his keynote address titled "Awakening Data, Accelerating Intelligence with AI-Ready Data Infrastructure."
Zhou emphasized the sustained importance of data throughout decades of digital transformation, asserting that readiness is achieved through robust data infrastructure. He stated, "To be prepared, prepare for the data." The ongoing digitalization of industries is not merely a trend; it is a transformative process that aims to convert vast data into actionable insights and knowledge.
The AI Data Lake Solution combines elements such as data storage, data management, resource management, and a suite of AI tools to create a high-quality AI corpus. This integration accelerates model training and inference, equipping enterprises with the means to fully leverage AI capabilities.
In his presentation, Zhou provided detailed insights into the products and technologies encompassed within the AI Data Lake ecosystem:
1. Continuous Innovation in Data Storage: The solution demonstrates ongoing improvements in performance, capacity, and resilience, ensuring that businesses can manage their data effectively.
2. Accelerated AI Model Training and Inference: Huawei’s OceanStor series A high-performance storage solutions deliver exceptional results, enabling AI technology developers like iFLYTEK to significantly boost the efficiency of cluster training. This advanced technology enhances inference performance, reduces latency, and ultimately improves user interaction with applications, thereby speeding up the deployment of applications with numerous models in production settings.
3. Efficient Storage of AI Data: The OceanStor Pacific All-Flash Scale-Out Storage offers an impressive capacity density of 4 PB/2 U and an exceptionally low energy consumption rate of 0.25 W/TB. It is designed to streamline the management of exabyte-scale data, making it ideal for data-intensive workloads in education, scientific research, medical imaging, and media.
4. AI Corpus Backup and Vector Database Protection: Huawei’s OceanProtect storage provides ten times the backup performance compared to typical alternatives and boasts a 99.99% accuracy rate in ransomware attack detection, safeguarding key training corpus and vector databases in industries such as oil and gas and manufacturing.
5. Data Management Visibility and Mobility: The Huawei DME (Data Management Engine) platform integrates Omni-Dataverse to assist customers in eliminating data silos across geographically dispersed data centers. Its capability to retrieve data from over 100 billion files within seconds allows businesses to process data efficiently and harness its full potential.
6. Resource Management and Intelligent Planning: The DCS (Data Center Service) platform employs virtualization and container technologies for effective xPU resource aggregation and smart resource scheduling, optimizing resource utilization. Furthermore, the DataMaster within the DME enables operational managers to leverage AI Copilot, which provides a range of AI applications including intelligent Q&A, operational assistance, and inspection expertise, creating a superior experience for operational management.
As industries continue to embrace digital transformation, solutions like Huawei's AI Data Lake represent a pivotal step towards harnessing the full potential of data and AI, ultimately driving innovation and efficiency across sectors. This launch marks a significant milestone in Huawei's commitment to advancing industrial intelligence and supporting businesses in their journey towards greater AI integration.
Zhou emphasized the sustained importance of data throughout decades of digital transformation, asserting that readiness is achieved through robust data infrastructure. He stated, "To be prepared, prepare for the data." The ongoing digitalization of industries is not merely a trend; it is a transformative process that aims to convert vast data into actionable insights and knowledge.
The AI Data Lake Solution combines elements such as data storage, data management, resource management, and a suite of AI tools to create a high-quality AI corpus. This integration accelerates model training and inference, equipping enterprises with the means to fully leverage AI capabilities.
In his presentation, Zhou provided detailed insights into the products and technologies encompassed within the AI Data Lake ecosystem:
1. Continuous Innovation in Data Storage: The solution demonstrates ongoing improvements in performance, capacity, and resilience, ensuring that businesses can manage their data effectively.
2. Accelerated AI Model Training and Inference: Huawei’s OceanStor series A high-performance storage solutions deliver exceptional results, enabling AI technology developers like iFLYTEK to significantly boost the efficiency of cluster training. This advanced technology enhances inference performance, reduces latency, and ultimately improves user interaction with applications, thereby speeding up the deployment of applications with numerous models in production settings.
3. Efficient Storage of AI Data: The OceanStor Pacific All-Flash Scale-Out Storage offers an impressive capacity density of 4 PB/2 U and an exceptionally low energy consumption rate of 0.25 W/TB. It is designed to streamline the management of exabyte-scale data, making it ideal for data-intensive workloads in education, scientific research, medical imaging, and media.
4. AI Corpus Backup and Vector Database Protection: Huawei’s OceanProtect storage provides ten times the backup performance compared to typical alternatives and boasts a 99.99% accuracy rate in ransomware attack detection, safeguarding key training corpus and vector databases in industries such as oil and gas and manufacturing.
5. Data Management Visibility and Mobility: The Huawei DME (Data Management Engine) platform integrates Omni-Dataverse to assist customers in eliminating data silos across geographically dispersed data centers. Its capability to retrieve data from over 100 billion files within seconds allows businesses to process data efficiently and harness its full potential.
6. Resource Management and Intelligent Planning: The DCS (Data Center Service) platform employs virtualization and container technologies for effective xPU resource aggregation and smart resource scheduling, optimizing resource utilization. Furthermore, the DataMaster within the DME enables operational managers to leverage AI Copilot, which provides a range of AI applications including intelligent Q&A, operational assistance, and inspection expertise, creating a superior experience for operational management.
As industries continue to embrace digital transformation, solutions like Huawei's AI Data Lake represent a pivotal step towards harnessing the full potential of data and AI, ultimately driving innovation and efficiency across sectors. This launch marks a significant milestone in Huawei's commitment to advancing industrial intelligence and supporting businesses in their journey towards greater AI integration.
Topics Consumer Technology）
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