tencentmusic/cube-studio

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

5074 stars · 881 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Cube Studio is an open-source, cloud-native, one-stop machine learning platform covering the full MLOps lifecycle: online notebooks, drag-and-drop pipeline orchestration, distributed multi-node training, hyperparameter search, LLM fine-tuning (SFT, reward models, RLHF), and multi-node LLM inference with vLLM/Ollama. It also provides vGPU-virtualized inference serving, edge computing, automated data labeling, a private knowledge base (RAG), an AI model marketplace, and support for domestic CPUs/GPUs/NPUs (Ascend) with RDMA networking.

Use cases

• run an end-to-end mlops platform on kubernetes
• orchestrate machine learning pipelines with drag-and-drop
• fine-tune large language models like deepseek with sft or reinforcement learning
• serve llm inference across multiple nodes with vllm or ollama
• rent out gpu compute with vgpu virtualization
• search hyperparameters for distributed training jobs
• build a private knowledge base chatbot over company documents
• automate data labeling for training datasets

When to choose

• you need a self-hosted, all-in-one mlops platform on kubernetes covering training, tuning, labeling, and inference
• you must support heterogeneous accelerators including ascend npus, domestic gpus, and rdma clusters
• you want llm fine-tuning and multi-node llm serving integrated with workflow orchestration

When to avoid

• you only need a lightweight experiment tracker or single-feature tool rather than a full platform
• you cannot operate a kubernetes-based cloud-native deployment
• you require a permissively licensed project - the license is non-standard (NOASSERTION)
• you want actively maintained upstream - this repository was archived in 2026 and moved to data-infra/cube-studio

Facets

application · maturity abandoned

machine-learning deep-learning llm-training llm-inference rag workflow-automation scheduling container-orchestration data-visualization agent-framework machine-learning deep-learning large-language-models artificial-intelligence data-science cloud-computing self-hosted self-hosted cloud python mlops llmops pipeline-orchestration vgpu distributed-training hyperparameter-tuning model-serving notebook data-labeling model-marketplace ascend-npu rdma archived-repo containers kubernetes docker gpu web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="tencentmusic/cube-studio")