arena VS mpi-operator

Compare arena vs mpi-operator and see what are their differences.

arena

A CLI for Kubeflow. (by kubeflow)
kubeflow Kubernetes Tensorflow Docker Deep Learning
Source Code
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mpi-operator

Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.) (by kubeflow)
Mpi horovod kubeflow Tensorflow Pytorch apache-mxnet Distributed Computing Kubernetes
Source Code
kubeflow.org
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arena mpi-operator
1 1
709 401
1.8% 2.2%
8.3 7.3
5 days ago 13 days ago
Go Go
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

arena

Posts with mentions or reviews of arena. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-03.
  • Volcano vs Yunikorn vs Knative
    5 projects | /r/kubernetes | 3 May 2023
    tldr; you should start with KubeFlow 99% of the time. The respective job scheduling workflows (including volano) can be managed with Kubeflow Arena. Vulcano is ok, but I personally prefer Nvidia's Merlin + Triton inference on top of ONNX and MS ONNX Runtime. I do like to train with GPU's on Merlin in GKE (TabularNV and HugeCTR's tbe), and run TFKeras ReLu models on CPU's with OpenVino on AWS EKS, to optimize costs a bit. I do use Kubeflow on top of TektonCD for OpenShift, while some folks do prefer Argo Workflows and Apache Airflow, in the end - it's all DAG pipelines, so doesn't really matter.

mpi-operator

Posts with mentions or reviews of mpi-operator. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-25.

What are some alternatives?

When comparing arena and mpi-operator you can also consider the following projects:

determined - Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

kube-batch - A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

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.

cromwell - Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments

kserve - Standardized Serverless ML Inference Platform on Kubernetes

sarus - OCI-compatible engine to deploy Linux containers on HPC environments.

kubeflow - Machine Learning Toolkit for Kubernetes

optimism-v2 - ARCHIVE of monorepo implementing Boba, an L2 Compute solution built on Optimistic Ethereum - active repo is at https://github.com/bobanetwork/boba

arena vs determined mpi-operator vs kube-batch arena vs ML-Workspace mpi-operator vs polyaxon arena vs kube-batch mpi-operator vs onepanel arena vs cromwell mpi-operator vs kserve mpi-operator vs sarus mpi-operator vs kubeflow mpi-operator vs optimism-v2