AI Education Cloud

Aug 23, 2019 1 min read

Different Scenarios at Schools

Professors, TA for project research, teaching environment preparation
PhD students use proprietary computing resources to do research
Master students require proprietary or shared computing resources for class assignments
College students use CPU/GPU shared resources

Through our multi-tenant and hierarchical role management, professors and TA can set up separate project space for each student
Cloud service marketplace enables data preparation and machine learning application environments to be pre-prepared and easily orchestrated
Support dedicated and shared resource zone, flexible computing mode according to usage scenarios to avoid spend a lot of budget for virtualized VM environment
Make AI teaching concentrate on AI tool application instead of wasting time in resource management
More storage resources choices, no need to be locked-in
Better scalability when encounter insufficient computing resources