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Huawei Introduces AI Data Platform at MWC Barcelona 2026

During the Huawei AI DC Innovation Forum at MWC Barcelona 2026, Huawei introduced its new AI Data Platform, which is designed to tackle significant barriers that enterprises face when trying to adopt AI technologies. Despite the availability of vast amounts of data, many companies struggle with large-scale deployment of AI agents due to various challenges such as delayed knowledge acquisition, low accuracy in knowledge retrieval, inefficient inference in long-sequence and multi-turn interactions, and a lack of task memory to build experience.

To address these common issues, Xie Liming, President of the Flash Storage Domain of Huawei's Data Storage Product Line, presented a comprehensive solution: an AI Data Platform that integrates a knowledge base, a Key-Value (KV) cache, and a memory bank, all coordinated by a Unified Cache Management (UCM) system. This innovative platform empowers enterprise AI agents to move beyond demonstration stages and evolve into production-ready tools.

Key Features of Huawei's AI Data Platform

Knowledge Generation and Retrieval

The AI Data Platform employs a knowledge base that continuously monitors changes in source data, converting raw information into knowledge almost in real-time. Utilizing multimodal data analysis, it converts various data types into highly accurate knowledge with retrieval accuracy exceeding 95%. Through token-level encoding, it ensures no data loss during the process.

KV Cache for Inference Acceleration

The platform contains intelligent KV cache management that segments and stores historical memory data, greatly reducing redundant processing during inferences. This leads to lower inference latency, improved inference productivity, and enhanced user experience, making it a robust support system for complex and long-sequence agent interactions.

Customized Memory Extraction and Recall

Huawei's technology incorporates personalized and continually updated memory banks for AI agents. This facilitates the accumulation of both working memory and experiential memory during AI interactions. The platform supports memory backtracking and collaborative learning among multiple agents, continually optimizing inference accuracy and efficiency, while progressively making models smarter through usage.

Future Prospects

Looking ahead, Huawei is committed to increasing its investment in AI data infrastructure. The company aims to drive industry transformation through continuous innovation and collaborations with global clients and partners, enhancing broader acceptance and implementation of AI across various sectors. This initiative promises to unlock the full potential of data, helping businesses harness the power of artificial intelligence effectively and efficiently.

With this new platform, Huawei positions itself as a significant player in the AI landscape, helping enterprises transition from traditional operations to intelligent, data-driven decision-making processes.