Huawei Cloud Accelerates Latin American Infrastructure with 1+3 Strategy

Ready to shape a collaborative future: Huawei in Latin America

CEO of Huawei Cloud, Dr. Peter Zhou, hosted the COMPASS annual congress for 150 Latin American decision-makers to showcase the region’s fastest-growing cloud provider. The company now directly and indirectly supports approximately 104,400 jobs across the region’s operations.

Why This Matters

Latin American organizations face a technical gap between public cloud flexibility and the rigid security requirements of legacy on-premise systems. Huawei Cloud addresses this by deploying a hybrid stack that allows organizations to distribute AI workloads across both environments, ensuring compliant change and resilience.

While ideal models often assume a one-size-fits-all digital transformation, technical reality in the region requires a per-industry focus. Huawei’s deployment of AI in over 500 scenarios across 30 industries demonstrates that scaling digital efficiency requires multimodal, industry-specific models rather than generic infrastructure.

Key Insights

• Partner revenue in the Latin America region grew at an average rate of 50% in 2025 (Source: Mark Chen, 2026).
• The ‘1+3’ solution architecture integrates one cloud solution with AI, application modernization, and big data to enable enterprise-wide digitization.
• Huawei Cloud achieved a 92-point customer satisfaction rating in an independent third-party survey, with an 83.4% recommendation rate (Source: Huawei Cloud Latin America, 2025).
• The AI infrastructure stack includes AI DataLake, TaurusDB, and ModelArts, currently impacting nearly 90% of daily enterprise operations in the region.
• Local workforce expansion included a 10% increase in hires in 2025, supported by 24/7 native-language technical support in Spanish and Portuguese.

Practical Applications

• Use Case: Financial institutions like Dataprev migrating core transactional processing from legacy on-premise systems to hybrid cloud. Pitfall: Implementing cloud migrations without native-language 24/7 support leads to critical resolution delays in mission-critical systems.
• Use Case: Retailers such as SMU using AI-powered customer service and omnichannel promotional activities to streamline digital efficiency. Pitfall: Using manual processes for data layers instead of AI DataLake architectures, resulting in high-friction user experiences.
• Use Case: Telecommunications providers like Claro deploying agentic AI platforms to optimize data layers and infrastructure. Pitfall: Failing to integrate hybrid security layers with public cloud flexibility, compromising the data resilience required for national utilities.

References:

• https://www.cloudcomputing-news.net/news/ready-to-shape-a-collaborative-future-huawei-in-latin-america/