Huawei Launches AI Data Platform to Bridge Models and Business Value

[Barcelona, Spain, March 2, 2026] At Huawei Product & Solution Launch 2026 at MWC Barcelona 2026, Yuan Yuan, President of Huawei Data Storage Product Line, 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

Despite rapid AI advancement, most AI models have not been thoroughly integrated into carriers' core services. 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.

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.

"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," said Yuan Yuan.

MWC Barcelona 2026 will be held from March 2 to March 5 in Barcelona, Spain. During the event, Huawei will showcase its latest products and solutions at stand 1H50 in Fira Gran Via Hall 1.

The era of agentic networks is now approaching fast, and the commercial adoption of 5G-A at scale is gaining speed. Huawei is actively working with carriers and partners around the world to unleash the full potential of 5G-A and pave the way for the evolution to 6G. We are also creating AI-Centric Network solutions to enable intelligent services, networks, and network elements (NEs), speeding up the large-scale deployment of level-4 autonomous networks (AN L4), and using AI to upgrade our core business. Together with other industry players, we will create leading value-driven networks and AI computing backbones for a fully intelligent future.

For more information, please visit: https://carrier.huawei.com/en/minisite/events/mwc2026/