AI & Data Platform on Huawei Cloud
Build, train, and serve AI models at MENA scale using Huawei ModelArts and DataArts — from raw data to production inference.
ModelArtsDWSDLIPanguDataArts
What's Included
Everything we cover for this engagement
Data lake architecture design on OBS and DLI.
ETL pipeline setup using DataArts Studio.
Model training environment on ModelArts with GPU instances.
Model deployment and inference API setup.
Real-time streaming with Kafka and DIS.
AI governance and model performance monitoring.
How It Works
A clear path from kick-off to outcome
Step 1
Assess
Audit your data sources, quality, and ML readiness.
Step 2
Architect
Design the data lake and model training infrastructure.
Step 3
Build
Implement pipelines, train initial models, and deploy inference APIs.
Step 4
Operate
Monitor model performance and retrain on a defined schedule.
Why CloudPro
Why teams pick us for this work
Pangu Foundation Models
Authorized partner access to Huawei's proprietary Pangu LLMs and MaaS catalog.
GPU Cluster Access
A100 / V100 instances available for large-scale training when you need them.
MENA Data Residency
Models and data stay in Egypt — no cross-border training, no shadow exports.
Ready to start with AI & Data Platform?
Book a free 30-minute consultation with a senior Huawei Cloud architect.