RiseUnion: Empowering Efficient AI Infrastructure

Pre-configured AI environments supporting mainstream deep learning frameworks for rapid project startup.

Secure multi-team collaboration with resource isolation and granular permission control.

Built-in code and model versioning to ensure project traceability and team collaboration.

Unified orchestration and monitoring of training and inference tasks to improve development efficiency.

Provides unified management and model access capabilities for foundation models in the marketplace, while users can also integrate fine-tuned models

Model evaluation is a key step in model validation. Model optimization teams can customize evaluation datasets to verify the effectiveness of fine-tuned models

One-click deployment of model services based on fine-tuned model files, with quick testing and validation of deployed model services

Support creating model fine-tuning tasks, enabling SFT, LoRA, and full parameter fine-tuning of foundation models based on uploaded training datasets