Huawei Strategy: Learn Supply Chain from Apple, Aim for NVIDIA in Computing
In internal transcript excerpts released from a Q&A session with new employees, Huawei Supervisory Board Chairman Guo Ping outlined the company's long-term directions across supply chain management, autonomous driving, and AI computing. He explicitly stated that Huawei aims to become the NVIDIA of the ICT and computing sectors while continuing to learn supply chain resilience from Apple. The disclosures clarify how Huawei intends to navigate ongoing US technology sanctions by relying on architectural innovation and infrastructure scaling rather than raw manufacturing node advances. By aiming to provide compute foundations via Ascend and Kunpeng rather than focusing strictly on general LLMs, Huawei positions itself as China's core enterprise AI enablement platform. Guo Ping noted that while Huawei will self-develop LLMs for consumer devices, smart driving, and Huawei Cloud, its broader compute division focuses on enabling any third-party model to run efficiently on Ascend, Kunpeng, and supernode computing clusters. He also revealed that the upcoming Ascend 950 series aims to narrow performance gaps with global rivals through system architecture design under manufacturing constraints.
## BACKGROUND
Under US trade restrictions, Huawei faces strict limits on access to advanced chip production nodes and overseas supply chains. To maintain market competitiveness, Huawei spun off its Smart Vehicle Solution business unit into Shenzhen Yinwang Intelligent Technology Co., Ltd. (Yinwang) and shifted focus toward high-density computing architecture innovations to offset hardware manufacturing constraints.