openmodelz VS runbooks

What are some alternatives?

covey - A lightweight Linux cluster orchestration system written in Go (Under active development, just working on plugins https://github.com/chabad360/plugins)

Awesome-LLM-Productization - Awesome-LLM-Productization: a curated list of tools/tricks/news/regulations about AI and Large Language Model (LLM) productization

vllm - A high-throughput and memory-efficient inference and serving engine for LLMs

flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

go-ml-benchmarks - ⏱ Benchmarks of machine learning inference for Go

kubernetes-operator-roiergasias - 'Roiergasias' kubernetes operator is meant to address a fundamental requirement of any data science / machine learning project running their pipelines on Kubernetes - which is to quickly provision a declarative data pipeline (on demand) for their various project needs using simple kubectl commands. Basically, implementing the concept of No Ops. The fundamental principle is to utilise best of docker, kubernetes and programming language features to run a workflow with minimal workflow definition syntax. It is a Go based workflow running on command line or Kubernetes with the help of a custom operator for a quick and automated data pipeline for your machine learning projects (a flavor of MLOps).

onepanel - The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

envd - 🏕️ Reproducible development environment