cube studio open source cloud-native one-stop machine learning/deep learning/large model AI platform, mlops algorithm link full process, computing power rental platform, notebook online development, drag-and-drop task flow pipeline orchestration, multi-machine multi-card distributed training, super parameter search, inference service VGP U virtualization, edge computing, automatic annotation of 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, AI model market, support domestic cpu/gpu/npu Shengteng Ecosystem supports RDMA, supports pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano and other distributed systems
Browse by purposeKubernetes operationsContainers · Kubernetes operations
TypeApps & systemsApps & systems
SubcategoryOperationsOperations
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Verify software, hosting, model and infrastructure costs against the current official documentation.
Pricing source——
First collected2026-11-032026-11-02
MetricRepository stars, not unique users or individual-skill installsRepository Stars, not unique users
Language—Go
About this projectcube studio open source cloud-native one-stop machine learning/deep learning/large model AI platform, mlops algorithm link full process, computing power rental platform, notebook online development, drag-and-drop task flow pipeline orchestration, multi-machine multi-card distributed training, super parameter search, inference service VGP U virtualization, edge computing, automatic annotation of 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, AI model market, support domestic cpu/gpu/npu Shengteng Ecosystem supports RDMA, supports pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano and other distributed systemsSchedule and manage containerized applications.
Measured at2026-11-02 19:02 UTC2026-11-02 19:20 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.