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AI Education Cloud

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
educloud
  • 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