National Research and Education Network
Education Cloud Data Center
Design & Simulation
Planning & Analytics
Enterprise Data Center
Server - Intelligent Computing
Enterprise Cloud Communications
Network Management System
Ubiquitous Connectivity Makes Digital Transformation Possible
Economical and Powerful AI Computing
Horizon Digital Platform
Connecting the Physical and Digital Worlds to Help Customers Achieve Successful Digital Transformation
Leading New ICT
228 Fortune Global 500 Companies Choose Huawei as Digital Transformation Partner
Secure And Resilient Solutions
Buy from Huawei
If you want to get more information about your project, you can submit your information and we will contact you as soon as possible.
If your company has signed an eDeal contract with Huawei, please buy your required product/solution via the link below.
Buy from resellers
Search for a nearby reseller and get direct contact information.
Become a Partner
Resources and Support
Huawei Authorized Learning Partner
Huawei Authorized Information and Network Academy
MindSpore is the AI computing framework. Fully developed by Huawei from the ground up, it implements on-demand collaboration across the cloud-edge-device. It provides unified APIs and end-to-end AI capabilities for model development, execution, and deployment in all scenarios.
Using a distributed architecture, MindSpore leverages a native differentiable programming paradigm and new AI native execution modes to achieve better resource efficiency, security, and trustworthiness. Meanwhile, MindSpore makes full use of the computing power of Ascend AI processors and lowers the entry requirements of industry AI development, bringing inclusive AI faster to reality.
★Automatic differential: unified programming of network and operators, native expression of functions and algorithms, and automatic generation of inverse network operators
★Automatic parallelization: achieving best model parallelization with automatic model partitioning
★Automatic optimization: using the same code for dynamic and static computation graphs
★On-device execution, making full use of the computing power of Ascend AI processors
★Pipeline optimization, maximizing parallel processing linearity
★Deep graph optimization, automatically adapting to the AI core computing power and precision
★On-demand collaborative computing across the cloud-edge-device, better protecting privacy
★Unified architecture for the cloud-edge-device, implementing one-time development and on-demand deployment