A cloud-native MLOps platform providing end-to-end pipelines from data labeling to distributed training. It supports VGPU virtualization and multi-node inference for large-scale LLM deployments.
Tech Stack
PythonAI, ML & Data
Why cube-studio?
• Comprehensive MLOps lifecycle coverage
• Advanced GPU/NPU resource scheduling
• Supports distributed training frameworks
Limitations
• Extremely high deployment complexity
• Requires deep Kubernetes expertise
• Documentation primarily in Chinese
3/5/2026
Last Update
862
Forks
44
Issues
Other
License
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