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ClearML vs HTCondor

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.

ClearML

Free plan APILinuxMac+3

ClearML combines AI/ML development tooling with infrastructure and GenAI deployment capabilities, and offers both self-hosted and managed deployment paths. Compare plan limits and usage charges with your team's GPU and project needs.

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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.

Visit HTCondor

The facts

ClearMLHTCondor
Free planYesYes
Open sourceNot publishedNot published
Runs onAPI, Linux, Mac, Self-hosted, Web, WindowsAPI, Linux, Mac, Self-hosted, Web, Windows
Lowest paid planPro: $15 per user a monthNot published
Plans published4None
MakerNot publishedNot published
Websiteclear.mlhtcondor.com
On gpu cluster management software#3 of 21#7 of 21

ClearML: what it does well

  • Manages GPUs across on-premises, cloud, and hybrid setups.
  • Provides model development, training, testing, and deployment tools.
  • Includes integrations for popular ML frameworks and tools.
  • Supports several cloud and S3-compatible storage services.
  • Community plan is free.

What to know first

  • Pro adds usage charges beyond its per-user price.
  • Scale and Enterprise pricing require a custom quote.
  • Self-hosted security setup calls for restricting ports and configuring login authentication.

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

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