{"data":{"slug":"tencentmusic-cube-studio","name":"cube-studio","tagline":"一站式机器学习/深度学习/AI开发平台","github_url":"https://github.com/tencentmusic/cube-studio","owner":"tencentmusic","repo":"cube-studio","owner_avatar_url":"https://avatars.githubusercontent.com/u/53810446?v=4","primary_language":null,"stars":5077,"forks":880,"topics":["ai","aihub","argo","automl","deepseek","gpt","inference","kubeflow","kubernetes","llmops","mlops","notebook","pipeline","pytorch","spark","vgpu","workflow"],"archived":false,"github_pushed_at":"2026-07-11T06:55:31+00:00","maintenance_label":"Steady","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/tencentmusic-cube-studio","markdown_url":"https://www.graphcanon.com/tools/tencentmusic-cube-studio.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tencentmusic-cube-studio","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tencentmusic-cube-studio","description":"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","homepage_url":null,"license":"Other","open_issues":44,"watchers":77,"ai_summary":"Cube Studio 是腾讯音乐开源的一站式AI开发平台，提供从模型训练到部署全流程支持。","readme_excerpt":"# 仓库已归档\n\n本仓库已于 2026-05-18 归档，不再维护。  [跳转至新仓库](https://github.com/data-infra/cube-studio)\n\n# 帮助文档\n\n参考 [帮助文档](https://github.com/data-infra/cube-studio/wiki)\n\n# Cube Studio\n\n### 整体架构","github_created_at":"2021-08-17T08:54:14+00:00","created_at":"2026-07-07T17:42:11.665675+00:00","updated_at":"2026-08-20T12:01:52.028034+00:00","categories":[{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"distributed-training","name":"distributed-training"},{"slug":"gpu-virtualization","name":"gpu virtualization"},{"slug":"inference-service","name":"inference service"},{"slug":"mlops","name":"mlops"},{"slug":"notebook","name":"notebook"},{"slug":"pipeline","name":"pipeline"},{"slug":"pytorch","name":"pytorch"}],"trust":{"provenance":{"is_fork":false,"github_id":397179336,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-20T12:01:51.281Z","maintenance":{"label":"Steady","score":60,"methodology":"github_public_v1","releases_90d":0,"days_since_push":40,"last_release_at":"2026-05-09T06:16:15Z","stars_delta_30d":2,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:20:22.195Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-20T12:01:51.760Z"},"license_spdx":{"value":"Other","source":"github.license","observed_at":"2026-08-20T12:01:51.760Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium","summary":"开源但可能涉及算力租赁等成本。"},"requirements":{"min_ram_gb":null,"requires_docker":true},"constraints":{"min_ram_gb":null,"pricing_model":"freemium","requires_docker":true},"when_to_use":[],"when_not_to_use":["您不需要此工具的情景：如果您的项目已经选择了其他成熟的ML平台（如Kubeflow，Azure ML）并已投入大量开发时间且依赖于这些系统的特定优势。"],"source":"enrich:decision_facts","observed_at":"2026-07-12T06:43:21.854Z"},"constraint_facets":{"min_ram_gb":null,"pricing_model":"freemium","requires_docker":true},"decision_summary":[{"label":"Pricing","value":"freemium - 开源但可能涉及算力租赁等成本。"},{"label":"Requirements","value":"Requires Docker"},{"label":"Adopt for","value":"Cube Studio是一个由腾讯音乐开源的全栈AI开发平台，提供从模型训练到部署的整体解决方案。它支持多种深度学习框架及异构算力，并具备自动化标注、超参搜索等高级功能。"},{"label":"License detail","value":"Cube Studio的许可类型与其他工具不同，具体条款需参照其源仓库中提供的详细信息。"}]}}