FEATURE: AI INNOVATION
HAVING LONG SERVED ENTERPRISE CLIENTS, WE COMBINE DEEP INDUSTRY EXPERTISE WITH STRONG TECHNOLOGICAL CAPABILITIES, WHICH FORMS A CORE COMPETITIVE ADVANTAGE.
believe the Supernode architecture is the best for AI. For example, if you take major Large Language Models( LLMs), they often use a Mixture of Experts( MoE) architecture. Our Supernode supports over 384 NPUs, allowing each expert to run on a separate NPU, maximising resource utilisation and performance while reducing costs.
Currently, enterprises emphasise security and stability when moving to the cloud, especially in Europe. How does Huawei Cloud ensure these aspects for its customers?
Security is crucial. To use AI effectively, companies need unified AI computing resources and model platforms, which naturally depend on secure cloud infrastructure. Huawei Cloud has maintained a record of zero critical incidents over the past two years – a testament to both our technology and our culture of reliability and redundancy.
For example, in one data centre, a fire was caused by a malfunctioning cooling system. Huawei Cloud’ s redundant resources( including dry ice systems) prevented any disruption. Similarly, during a power outage in Chile, our backup power engines kept services running for up to 144 hours. This culture of investing in redundancy – though costly – ensures reliability and customer trust.
Additionally, Huawei implements strict security awareness programmes and training for maintenance
Our second point of competitiveness is our focus on AI for industries. Many enterprises can access opensource LLMs, but the challenge lies in deploying them within their own environments and integrating their internal knowledge bases. Huawei aims to provide an AI platform that helps customers build their own models and AI agents. Having long served enterprise clients, we combine deep industry expertise with strong technological capabilities, which forms a core competitive advantage.
Are there are any regional nuances in terms of how cloud is used in the different countries or regions you operate in?
Regarding global competition, while regional differences exist, the more important factor today is what unites these regions. In the cloud era, we saw significant gaps between regions in terms of digitisation and cloud adoption. However, in the AI era, the gap is narrowing – many organisations are now adopting AI applications.
AI represents a huge opportunity globally. Whether in Africa, the Middle East, Asia Pacific, Europe, or Latin America, our customers are increasingly leveraging AI technologies.
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