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app-services-cli

Command Line Interface for RHOAS

cluster-api

Home for Cluster API, a subproject of sig-cluster-lifecycle

cluster-capi-operator

Openshift Cluster CAPI Operator

codeflare-common

Common packages for use with CodeFlare Distributed Workload stack.

codeflare-operator

Operator for installation and lifecycle management of CodeFlare distributed workload stack, starting with MCAD and InstaScale

codeflare-sdk

An intuitive, easy-to-use python interface for batch resource requesting, access, job submission, and observation. Simplifying the developer's life while enabling access to high-performance compute resources, either in the cloud or on-prem.

community-operators-prod

community-operators metadata backing OpenShift OperatorHub

distributed-workloads

Artifacts for installing the Distributed Workloads stack as part of ODH

go

The Go programming language

hypershift

Hyperscale OpenShift - clusters with hosted control planes

instascale

On-demand Kubernetes/OpenShift cluster scaling and aggregated resource provisioning

jdk

JDK main-line development

kafka-python-consumer-example

hackathon

kas-fleet-manager

Kafka Service Fleet Manager is a service that exposes a Rest API to manage Kafka instances.

kuberay

A toolkit to run Ray applications on Kubernetes

mcad

MCAD v2

mcad-dashboard

Dashboard for MCAD

multi-cluster-app-dispatcher

Holistic job manager on Kubernetes

observability-operator

Operator installing the Telemetry stack in a Kubernetes cluster and installing the metrics and alerts

ocm-sdk-go

SDK for the Red Hat OpenShift Cluster Manager

ollama

Get up and running with Llama 2 and other large language models locally

opendatahub-operator

Open Data Hub operator implementation, based on Kubeflow Operator

org-management

GitHub Organization management via Peribolos

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

quarkus

Quarkus: Supersonic Subatomic Java.

quarkus-quickstarts

Quarkus quickstart code

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

rosa

shibashift

🐶 Kubernetes CLI To Manage Your Clusters In Style!

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