Huawei Launches AI Data Platform to Bridge Models and Business Value

[Barcelona, Spain, March 2, 2026] At Huawei Product & Solution Launch 2026 during MWC Barcelona 2026, Huawei officially launched Huawei's AI Data Platform. The platform integrates the three key technologies of knowledge generation and retrieval, memory extraction and recall, KV cache for inference acceleration, as well as Unified Cache Manager (UCM) for inference memory. It bridges the gap between models and business value.

Yuan Yuan, President of Huawei Data Storage Product Line, delivering a keynote speech

Yuan Yuan, President of Huawei Data Storage Product Line, delivered a keynote speech. He said, Huawei will continue to deepen technological innovation. With the AI Data Platform serving as a bridge, we will transform model capabilities into real business value and work with all parties to embrace the future of intelligent computing.

Despite rapid AI advancement, most AI models have not been thoroughly integrated into core services of enterprises. This is largely due to more focus on training than inference, which is the key to model adoption. Improved data processing is needed to address challenges like AI hallucinations, slow response, and throughput constraints in inference.

Huawei Data Storage officially launched a "3+1" AI Data Platform to tackle these challenges through three breakthrough technologies and the software:

• Knowledge generation and retrieval with high-accuracy multimodal knowledge for more accurate retrieval

For smart search applications, this technology converts multimodal resources (like text, images, and videos) into high-accuracy knowledge through multimodal lossless parsing and token-level encoding, ensuring a retrieval accuracy of over 95%.

• Memory extraction and recall with context memory management for making models smarter with use

In business data insight scenarios, this technology can define problems and understand user intent through personalized memory when faced with tasks. It then breaks down tasks using episodic memory (or experience-based memory). This memory mechanism makes models smarter with use.

• KV cache for inference acceleration using historical memory data for faster and more efficient inference

In AI customer service scenarios, this technology applies intelligent tiering and management for KV cache to greatly expand the context window and reduce repeated computing. This results in a 90% reduction in time to first token (TTFT), significantly improving the speed of AI responses.

• UCM for managing and scheduling memory data throughout the lifecycle

The software manages memory data at three cache levels to intelligently schedule the knowledge base, memory bank, and KV cache.

Huawei AI Data Platform

The Huawei AI Data Platform provides the appliance mode for greenfield deployment and independent mode for evolving deployment. The appliance mode uses the OceanStor A800 system that integrates three key technologies, computing power, and applications. This ensures ultimate performance and flexible scalability. The independent mode uses the architecture of AI data engine nodes + OceanStor Dorado storage. Data engine nodes can be added to upgrade existing systems, protect prior investments, and enable smooth AI transformation for businesses.

MWC Barcelona 2026 was held from March 2 to March 5 in Barcelona, Spain. Huawei Enterprise attended the event with the theme of Advancing Industrial All Intelligence. The Huawei Enterprise booth was located at 1H50, Hall 1, Fira Gran Via. For more information, please visit: MWC Barcelona 2026 | Huawei Enterprise