robrohan/skoupidia
Scripts to build an on-premisis machine learning lab
This project helps data scientists, researchers, or hobbyists create a powerful home machine learning lab using spare computers. You provide a collection of old machines (master and worker nodes) and this project outputs a fully functional Kubernetes cluster, ready for deploying machine learning workloads. It's designed for individuals who want to run their own AI experiments or models without relying on cloud services.
No commits in the last 6 months.
Use this if you have several old computers and want to build a cost-effective, on-premise infrastructure for running machine learning tasks and experiments.
Not ideal if you need a plug-and-play solution, prefer cloud-based machine learning environments, or don't want to get hands-on with system administration tasks.
Stars
6
Forks
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 17, 2024
Commits (30d)
0
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