// the find
tencentmusic/cube-studio
cube studio开源云原生一站式机器学习/深度学习/大模型AI平台，mlops算法链路全流程，算力租赁平台，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务VGPU虚拟化，边缘计算，标注平台自动化标注，deepseek等大模型sft微调/奖励模型/强化学习训练，vllm/ollama/mindie大模型多机推理，私有知识库，AI模型市场，支持国产cpu/gpu/npu 昇腾生态，支持RDMA，支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano等分布式
Cube Studio is a Kubernetes-native MLOps platform from Tencent Music that covers the full ML lifecycle: notebook development, drag-and-drop pipeline orchestration, distributed training across frameworks (PyTorch, TF, DeepSpeed, ColossalAI), LLM fine-tuning, and inference serving with vGPU virtualization. It is aimed at teams running their own GPU clusters who want a self-hosted alternative to managed ML platforms. The repo was archived on 2026-05-18 and has migrated to data-infra/cube-studio.
The vGPU virtualization and RDMA scheduling support is genuinely useful for teams sharing expensive GPU hardware — you get GPU time-slicing without needing to buy into NVIDIA MIG. The breadth of distributed training framework support (PyTorch, MXNet, Horovod, DeepSpeed, ColossalAI, PaddlePaddle, Mindspore, Volcano) in a single scheduler is rare in open-source tools. Support for domestic Chinese hardware (Huawei NPU, Hygon DCU, Cambricon MLU) makes it the only open-source option in that space. The separation of pipeline orchestration from execution (using Argo Workflows under the hood) means pipeline DAGs are portable and inspectable without platform lock-in.
The repo is archived — development has moved to data-infra/cube-studio, so you're reading the old codebase and will need to migrate anyway before getting bug fixes or security patches. The frontend is a compiled React bundle checked into git (static/appbuilder/frontend/*.chunk.js) with no source, which makes customization or debugging the UI essentially impossible. Installation is Kubernetes-only with a significant footprint (Argo, Istio, Harbor, Prometheus, MinIO all expected), so the barrier to getting a working dev environment is high — no Docker Compose path for local testing. Documentation is almost entirely in Chinese, which will block non-Mandarin teams from operating or troubleshooting it without translation overhead.