Huawei Launches New AI Data Infrastructure Solution: Faster Storage, AI Processing, And Stronger Security

To speed up the development and widespread use of AI by businesses, Huawei launched a full-stack data infrastructure solution for artificial intelligence data centers (AI DCs).  

During a keynote address at the Huawei Innovative Data Infrastructure (IDI) Forum 2026 on May 21, Yuan Yuan, Vice President of Huawei and President of the Huawei Data Storage Product Line, unveiled the framework. 

According to the company, AI agents are transforming enterprise operations and evolving into “digital employees.” 

To support this shift, the newly introduced architecture systematically targets several core operational pillars, which include data lakes, AI data platforms, compute power, models, agent frameworks, and data resilience. 

As per Huawei, the infrastructure utilizes high-density OceanStor Pacific Scale-Out Storage to deliver 11 PB capacity in a 2 U space for massive data storage. This is paired with DME Omni-Dataverse, a unified data space solution that supports multimodal, cross-site, and real-time data imports alongside global data visibility. 

For ultra-scale inference clusters, the company introduced a Context Memory Storage (CMS) supporting heterogeneous computing power. This system expands into a PB-scale shared KV cache pool, which reduces the time to first token (TTFT) by 90 per cent. 

For enterprise inference scenarios, the framework integrates an AI data platform combining KV cache acceleration, a knowledge base with over 95 per cent retrieval accuracy, and an evolving memory bank. Managed by a Unified Cache Manager (UCM), the integration improves inference accuracy by 30 per cent. 

According to the company, a dedicated ModelEngine provides model gateway capabilities for zero-code adaptation and one-click deployment. Through fine-grained compute resource partitioning, it achieves an up to 1:10 ratio of xPU partitioning, allowing one xPU to serve multiple purposes. 

Development is further supported by the ModelEngine Nexent agent platform, which generates agents through natural language-based interaction, reducing rollout time by 80 per cent. The full-stack solution also incorporates a data resilience platform designed to prevent tool misuse, data poisoning, tampering, and ransomware attacks across agents, models, and infrastructure. 

Yuan emphasized the critical role of data asset protection and industrial collaboration during the presentation. 

“AI is unlocking new opportunities for the IT industry,” Yuan said. “The next chapter of AI is data. Committed to technological innovation in data storage, Huawei will accumulate the experience of industrial AI adoption and work closely with the entire industry to help customers accelerate their journey into the intelligent era.” 

(ANI) 

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