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cube-studio

cubestudio open source cloud-native one-stop machine learning/deep learning/large model AI platform/MaaS/mlops/artificial intelligence platform/training platform, algorithm full-link process, multi-tenant, computing power rental platform, token transfer, drag-and-drop task flow pipeline orchestration, multi-machine multi-card distributed training, super-parameter search, inference service, VGPU virtualization, cloud-edge collaboration, Edge computing, automated annotation platform, deepseek and other large model sft fine-tuning/reward model/reinforcement learning training, vllm/ollama/mindie large model multi-machine inference, private knowledge base llmops agent, AI model market, support domestic heterogeneous computing power scheduling, Shengteng/Cambrian/Haiguang/Moore/Muxi, etc., support ib/roce/RDMA, Xinchuang support

k3s

Lightweight Kubernetes

Popularity
Repository stars2,58734,321Highest
7-day net stars——
Fork2202,773Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-122026-11-02
Maintenance notesNot verifiedNot verified
Repository created2024-07-022018-05-31
License & use
LicenseLicense not declaredApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeKubernetes operationsKubernetes operations
TypeApps & systemsApps & systems
SubcategoryOperationsOperations
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePythonGo
About this projectcubestudio open source cloud-native one-stop machine learning/deep learning/large model AI platform/MaaS/mlops/artificial intelligence platform/training platform, algorithm full-link process, multi-tenant, computing power rental platform, token transfer, drag-and-drop task flow pipeline orchestration, multi-machine multi-card distributed training, super-parameter search, inference service, VGPU virtualization, cloud-edge collaboration, Edge computing, automated annotation platform, deepseek and other large model sft fine-tuning/reward model/reinforcement learning training, vllm/ollama/mindie large model multi-machine inference, private knowledge base llmops agent, AI model market, support domestic heterogeneous computing power scheduling, Shengteng/Cambrian/Haiguang/Moore/Muxi, etc., support ib/roce/RDMA, Xinchuang supportLightweight Kubernetes
Measured at2026-11-02 19:02 UTC2026-11-02 19:00 UTC

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