Cloud-Native MLOps

Kubernetes Tools for ML & DL Models

A verified directory of Kubernetes tools for building, scheduling, and deploying machine and deep learning models in production.

6Tools
1Low Recent Activity

All Tools

6 results
01

Kubermatic Kubernetes Platform

A cluster-management tool offering automation to integrate with ML/DL workflows.

www.kubermatic.com/products/kubermatic-kubernetes-platform/ 02

Volcano

Provides a suite of mechanisms required by many classes of batch & elastic workloads.

github.com/volcano-sh/volcano 03

Kubeflow

The Machine Learning Toolkit for Kubernetes.

www.kubeflow.org/ 04

repo2docker

Fetches a git repository and builds a container image based on the configuration files found in it.

github.com/jupyterhub/repo2docker 05

NVIDIA Container Toolkit

Allows users to build and run GPU-accelerated Docker containers (successor to nvidia-docker).

github.com/NVIDIA/nvidia-container-toolkit 06

Seldon Core

Converts ML models (TensorFlow, PyTorch, H2O) or language wrappers (Python, Java) into production REST/gRPC microservices.

www.seldon.io/ Low Recent Activity