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tencentmusic/cube-studio

An open-source, cloud-native, all-in-one MLOps platform designed for the full lifecycle management of machine learning, deep learning, and large language model development and deployment.

Core Features

Full-lifecycle MLOps for ML/DL/LLM, including notebook development and pipeline orchestration.

Distributed training with multi-GPU/multi-node support, hyperparameter search, and VGPU inference.

Large language model (LLM) fine-tuning (SFT, RLHF) and multi-machine inference with private knowledge bases.

Extensive support for various hardware (CPU/GPU/NPU, Ascend) and AI frameworks (PyTorch, TensorFlow, Deepspeed).

Cloud-native architecture with project group management, network configuration, and resource isolation.

Detailed Introduction

Cube Studio is a comprehensive open-source, cloud-native MLOps platform that streamlines the entire machine learning, deep learning, and large language model development and deployment process. It offers a unified environment for online notebook development, drag-and-drop pipeline orchestration, distributed training, hyperparameter optimization, and efficient inference services with VGPU virtualization. By supporting a wide array of hardware and AI frameworks, Cube Studio empowers organizations to build, train, and deploy AI models, including advanced LLMs, with enhanced efficiency and scalability, serving as a powerful alternative to commercial MLOps solutions.