ModelArts Standard
The full one-stop platform: ExeML, data management, dev environments, training, model management and deployment.
A one-stop AI development platform — build, train and deploy models faster, with DDS on Huawei Cloud, hosted in MENA.
ModelArts is Huawei Cloud's one-stop AI development platform. With large-volume data preprocessing, semi-automated data labeling, distributed training, automated model building, and on-demand deployment across devices, edge and cloud, it helps your team quickly build and deploy models and manage the entire AI development lifecycle.
It covers every stage — data processing, algorithm development, and model training and deployment — on a three-layer architecture (compute, AI platform, and development toolchain) that supports TensorFlow, PyTorch, MindSpore and custom frameworks. DDS sets it up on Huawei Cloud, sized for your workload and hosted close to your users in MENA, and supports your team end to end.
ModelArts is delivered as several products — from the full platform to compute-only and edge options — so you start where it fits.
The full one-stop platform: ExeML, data management, dev environments, training, model management and deployment.
End-to-end toolchain for foundation-model production, plus compute and popular open-source models.
Cost-effective AI compute on bare-metal servers via EIP, with mainstream AI kits and Huawei acceleration plugins.
Direct access to native Kubernetes APIs to manage nodes and clusters within resource pools.
Simplifies edge deployment: model and node management, resource pooling, load balancing and commercial-use assurance.
A high-quality model development experience with access to a wealth of community resources.
DataOps, MLOps and DevOps in one platform boost development efficiency by up to 50%.
Run ultra-large distributed jobs — models with up to a trillion parameters over petabytes of data.
Jobs auto-recover from faults with a sub-0.5% failure rate; 10,000-card clusters run uninterrupted for 30 days.
Zero-code ExeML automates model design, tuning, compression and deployment.
Deploy to cloud or edge — real-time, batch or edge inference with elastic auto-scaling.
Pay-per-use, or a discounted yearly/monthly subscription — price depends on the compute and configuration you choose.
Intelligent Q&A, chatbots, automated summarization, machine translation and text classification.
AI-assisted generation of images, copy, audio and video.
Environment perception, path planning and driving control.
Efficient, accurate services for financial institutions and AI-powered public-service decisions.
Safer, smarter production; intelligent train scheduling, fault prediction and rail security.
Automated report interpretation, internet diagnoses and health management — across finance, government, mining, railway, healthcare and automotive.
It's a one-stop cloud platform for building AI — covering data, training and deployment in one place, so you don't manage the infrastructure yourself.
No. Zero-code AutoML (ExeML) lets non-experts build models, while notebooks and frameworks (PyTorch, TensorFlow, MindSpore) support advanced teams.
Mainstream frameworks including PyTorch, TensorFlow and MindSpore, with JupyterLab or remote-IDE development.
As real-time, batch or edge inference, with elastic auto-scaling so services stay fast and cost-efficient under changing load.
Ultra-large scale — models up to a trillion parameters across petabytes of data, with one-click distributed training.
DDS sets up ModelArts on Huawei Cloud in MENA, sizes the compute for your workload, and supports your team across the AI lifecycle.
Talk to a DDS AI architect about platform setup, compute sizing and getting your models to production.