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HTCondor vs Koordinator

Both stand on gpu cluster management software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

HTCondor

Free plan APILinuxMac+3

HTCondor is suited to coordinating jobs across machines without requiring users to log in to each execution machine. Its storage-transfer limit and the need to purchase API access are important considerations.

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Koordinator

Free plan APILinuxSelf-hosted

Choose Koordinator if you need self-hosted Kubernetes scheduling with workload priorities, QoS controls and resource sharing across services and batch jobs. Teams on Kubernetes 1.20 or 1.22 should account for the partial support noted for version 1.8; the core co-location, QoS and scheduling functions continue to work.

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The facts

HTCondorKoordinator
Free planYesYes
Open sourceNot publishedNot published
Runs onAPI, Linux, Mac, Self-hosted, Web, WindowsAPI, Linux, Self-hosted
Lowest paid planNot publishedNot published
Plans publishedNoneNone
MakerNot publishedNot published
Websitehtcondor.comkoordinator.sh
On gpu cluster management software#7 of 21#11 of 21

HTCondor: what it does well

  • Can restart jobs when a machine becomes unavailable
  • ClassAds match machine offers to job needs
  • Users need no login on execution machines
  • Supports S3-compatible file transfers
  • Includes Python bindings and administrator guides

What to know first

  • Cannot transfer whole storage buckets or directories
  • Freemium API keys do not access the API
  • Contract support is fee-based

Koordinator: what it does well

  • Free plan for self-hosted deployment.
  • Adds priority and QoS controls alongside kube-scheduler.
  • Supports profiling-based resource overcommitment and isolation.
  • Queue support includes several workload frameworks and Kueue.
  • Includes monitoring, troubleshooting and operations tools.

What to know first

  • Requires Kubernetes 1.18 or newer.
  • Helm installation requires version 3.5 or newer.
  • NRI resource management requires containerd 1.7.0 or newer with NRI enabled.
  • Version 1.8 is only partially supported on Kubernetes 1.20 and 1.22.

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