Huawei unveiled a new AI computing platform at the Mobile World Congress (MWC) 2026, designed to help companies build and operate the computing infrastructure behind AI services.

Shorter build times for data centers

One of the biggest hurdles for companies adopting AI is setting up the hardware and data center space required to support heavy computing tasks. Huawei’s platform aims to shorten that timeline by combining design work with on-site construction support. The company says it uses simulation tools for power efficiency, liquid cooling and cabling planning to reduce physical work needed on site. This may compress the typical renovation cycle to four to six months.

Tools for cluster setup and performance

Huawei’s solution includes tighter integration of computing clusters. The company says its deployment process can get a large cluster running in around 15 days once physical hardware is in place. Huawei also provides tools for performance tuning and optimisation, which are meant to help AI models run more efficiently across the system.

Model adaptations and expert knowledge

Another area the platform touches on is “model adaptation,” referring to the work of preparing a standard AI model to run well on specific hardware or within a particular enterprise environment. Huawei says it has adapted more than 150 mainstream AI models, covering around 90% of common enterprise use cases, and stored the know-how from these tests in a knowledge base of over 10,000 expert cases. That database is used to help guide new deployments and reduce trial-and-error work.