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，mlops算法链路全流程，支持大数据平台对接，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
Standardized Serverless ML Inference Platform on Kubernetes
PipelineAI
Machine Learning Pipelines for Kubeflow
Elyra extends JupyterLab with an AI centric approach.
Distributed ML Training and Fine-Tuning on Kubernetes
Automated Machine Learning on Kubernetes
Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS
Kubeflow’s superfood for Data Scientists
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform.
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
👩🔬 Train and Serve TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure
A curated list of awesome projects and resources related to Kubeflow (a CNCF incubating project)
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