Kubernetes ML Deployment ML Frameworks
Tools and platforms for deploying, orchestrating, and managing machine learning workloads on Kubernetes clusters. Includes infrastructure-as-code, operators, and integrated stacks combining ML frameworks with K8s. Does NOT include general Kubernetes management tools, standalone ML frameworks, or non-containerized deployment solutions.
There are 24 kubernetes ml deployment frameworks tracked. 2 score above 50 (established tier). The highest-rated is muna-ai/muna-py at 54/100 with 84 stars.
Get all 24 projects as JSON
curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=ml-frameworks&subcategory=kubernetes-ml-deployment&limit=20"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
muna-ai/muna-py
Run AI models anywhere. https://muna.ai/explore |
|
Established |
| 2 |
clearml/clearml-pycharm-plugin
ClearML PyCharm Plugin |
|
Established |
| 3 |
sql-machine-learning/elasticdl
Kubernetes-native Deep Learning Framework |
|
Emerging |
| 4 |
microsoft/AKSDeploymentTutorial
Tutorial on how to deploy Deep Learning models on GPU enabled Kubernetes cluster |
|
Emerging |
| 5 |
Langhalsdino/Kubernetes-GPU-Guide
This guide should help fellow researchers and hobbyists to easily automate... |
|
Emerging |
| 6 |
tamohannes/urartu
Build ML pipelines with smart caching and remote execution. Develop locally,... |
|
Emerging |
| 7 |
cognizant-ai-lab/studio-go-runner
ML/ENN Runner for privately hosted, cloud, and data-center production... |
|
Emerging |
| 8 |
Datura-ai/lium
Rent ready-to-use cloud GPUs in seconds. Lium CLI makes it easy to launch,... |
|
Emerging |
| 9 |
KAMONOHASHI/kamonohashi
AI開発プラットフォームKAMONOHASHI |
|
Emerging |
| 10 |
Kretski/ScalePredict
Run a 2-min local benchmark → predict how long your AI job will take on... |
|
Emerging |
| 11 |
Alluxio/k8s-operator
An operator for managing Alluxio system on Kubernetes cluster |
|
Emerging |
| 12 |
radheshpai87/checkDK
checkDK — AI-powered Docker Compose & Kubernetes config validator. Catch... |
|
Emerging |
| 13 |
aws-samples/ecs-gpu-scaling
Amazon ECS Auto Scaling for GPU-based Machine Learning Workloads |
|
Emerging |
| 14 |
dlops-io/dlops
Open source platform for the deep learning development lifecycle |
|
Emerging |
| 15 |
devopscorner/nifi
Production Grade Nifi & Nifi Registry. Deploy for VM (Virtual Machine) with... |
|
Emerging |
| 16 |
simonaco/serverless-cognitive-services
Serverless endpoints calling Cognitive Services APIs |
|
Experimental |
| 17 |
btcgetpro/oci-plugin-example
🌐 Enhance your Volant microVMs with this official Nginx plugin, providing... |
|
Experimental |
| 18 |
esdras01-droid/gokart
🛠️ Simplify your Go service setup with GoKart, a toolkit that streamlines... |
|
Experimental |
| 19 |
alice-viola/dora
An all-in-one solution for training, testing and maintaining your AI based software |
|
Experimental |
| 20 |
Roll4d4/KLEP
KLEP (Key-Lock-Executable-Process) is a groundbreaking AI framework that... |
|
Experimental |
| 21 |
asklokesh/k8s-gpu-workload-enhancer
Intelligent GPU Resource Management Platform for Kubernetes - Topology-aware... |
|
Experimental |
| 22 |
scttfrdmn/conduit
AWS-native platform for publishing, discovering, and deploying scientific ML models |
|
Experimental |
| 23 |
SoeldnerConsult/kubeflow-extensions
This project hooks into Kubeflow processes increasing usability for on-prem usage |
|
Experimental |
| 24 |
mjtechguy/do-gpu-terraform
Terraform code to deploy and configure a DigitalOcean GPU node |
|
Experimental |