mpi-operator VS sarus

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

mpi-operator

Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.) (by kubeflow)

sarus

OCI-compatible engine to deploy Linux containers on HPC environments. (by eth-cscs)
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mpi-operator sarus
1 2
401 122
2.2% 4.9%
7.3 7.3
9 days ago 18 days ago
Go C++
Apache License 2.0 BSD 3-clause "New" or "Revised" License
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.

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.

sarus

Posts with mentions or reviews of sarus. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-25.
  • Sarus VS Podman: comparison of both technologies
    1 project | /r/podman | 25 Jun 2022
    Sarus is An OCI-compatible container engine for HPC: https://sarus.readthedocs.io/en/stable/. At this point of view, it is very similar to use case of Podman.
  • Scaling Kubernetes to 7,500 Nodes
    3 projects | news.ycombinator.com | 25 Jan 2021
    The problem with slurm is how it's typically used: ssh into a shared login node with a shared file system, auth is handled by the linux users mostly, submit jobs with sbatch. Kubernetes deployment feels much more modern and safe.

    I have worked with containers + slurm, where the vendor libmpi is injected in the container runtime [1] by a hook, which gives you close to bare metal performance with some container goodness in terms of isolation and deployment.

    [1] https://github.com/eth-cscs/sarus

What are some alternatives?

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

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

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

pyTORCS-docker - Docker-based, gym-like torcs environment with vision.

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.

udocker - A basic user tool to execute simple docker containers in batch or interactive systems without root privileges.

kserve - Standardized Serverless ML Inference Platform on Kubernetes

img - Standalone, daemon-less, unprivileged Dockerfile and OCI compatible container image builder.

kubeflow - Machine Learning Toolkit for Kubernetes

crun - A fast and lightweight fully featured OCI runtime and C library for running containers

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

runtime-spec - OCI Runtime Specification