The platform builds an arithmetic base based on Kubernetes, providing multi-cluster management, heterogeneous arithmetic access and management capabilities to improve arithmetic allocation efficiency.
Provide data upload, versioning, downloading, previewing, and data labelling capabilities.
Provide visual modelling, Notebook interactive modelling, distributed training a variety of model training methods.
It supports one-click deployment of platform-trained models or local models, providing both online and offline services.
Full lifecycle management of AI assets such as models, mirrors, and provides AI asset sharing capabilities.
Full lifecycle management process covering large model application RAG, fine-tuning, etc.
Provide heterogeneous arithmetic access and management, arithmetic sharing and isolation, and other capabilities.