aaw-kubeflow-mlops

Machine Learning Toolkit for Kubernetes

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

cube studio开源云原生一站式机器学习/深度学习/大模型AI平台，支持sso登录，大数据平台对接，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，边缘计算，标注平台，自动化标注，大模型微调，vllm大模型推理，llmops，私有知识库，AI模型应用商店，支持模型一键开发/推理/微调，支持国产cpu/gpu/npu芯片，支持RDMA，支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/spark/ray/volcano分布式，deepseek训练推理

PipelineAI

Machine Learning Pipelines for Kubeflow

Distributed ML Training and Fine-Tuning on Kubernetes

Automated Machine Learning on Kubernetes

DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS

Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)

deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow?, and MLflow? into a complete platform.