Huawei Unveils Enterprise AI Platform

The platform was unveiled by Yuan Yuan, President of Huawei's Data Storage Product Line, directly addressing the industry's shift from focusing on AI model training to the more critical phase of inference. McKinsey predicts that by 2030, inference will account for over 50% of all AI compute workloads, a trend driving the need for new storage and data infrastructure. Huawei's solution is built on three technical pillars designed to enhance AI agent performance: high-accuracy knowledge retrieval from multimodal data, a "KV cache" to accelerate inference, and a memory bank system for agents to recall past interactions. The platform promises a retrieval accuracy of over 95%, aiming to reduce common AI issues like hallucinations and slow response times. This launch is part of a broader suite of AI-focused enterprise products announced by Huawei at MWC, including the Xinghe AI Network, its AgentArts development platform, and an AI-powered coding agent named CodeArts. For financial sector clients, Huawei claims its systems engineering approach can shorten the AI agent development cycle from months to weeks and cut end-to-end latency by over 60%. The platform offers two deployment models: an integrated appliance using the OceanStor A800 system and a decoupled option that combines AI data engine nodes with existing OceanStor Dorado storage, protecting prior investments. This positions Huawei to compete in the rapidly growing AI platforms software market, which IDC valued at $27.9 billion in 2023 and projects will reach $153 billion by 2028.