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No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.

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AI infrastructure platform: a control plane for GPU clusters, development tooling, and GPU-as-a-service offerings. No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.

Product preview

clear.ml
Preview of ClearML

Overview

ClearML sits above the GPUs rather than selling them: an infrastructure control plane for managing clusters and raising utilisation, development tooling for experiments and pipelines, and GPU-as-a-service offerings aimed both at enterprises with their own hardware and at providers who want to resell capacity.

The utilisation framing is the one that matters, and it is where this class of product earns or fails to earn its cost. Accelerators are expensive and mostly idle — reserved for a project that finished, held by a job that is waiting on data, or simply unallocated — and an organisation that gets its reported utilisation up by a meaningful margin has saved more than most tooling budgets. The honest caveat is that the number is easy to game and hard to compare across vendors, since definitions differ, so the test is your own measurements before and after rather than the vendor's headline. The 2,100-organisation figure is a breadth claim about adoption, not evidence about your workloads.

Sources

The factual claims in this review were read from the pages below. Each date is when an editor last opened the source, not when the product changed.

Pros / Cons

Pros

  • Addresses utilisation, which is where GPU money is actually lost
  • Covers both the infrastructure control plane and the development tooling above it
  • Offers GPU-as-a-service for organisations that want to resell capacity, not only consume it

Cons

  • Utilisation figures are defined differently by every vendor, so comparisons need your own baseline
  • The adoption count says nothing about your workloads
  • Self-hosting the control plane keeps sensitive scheduling data in-house but adds operational work

Who it's for

01

Raising GPU utilisation across shared clusters

02

Managing training infrastructure and pipelines together

03

Offering GPU capacity as a service

04

Tracking experiments on self-hosted infrastructure

Bottom line

An infrastructure control plane whose case rests on utilisation — measure yours before and after, since definitions vary by vendor.

Key Features

Infrastructure control plane
GPU cluster management and utilisation
Experiment tracking and pipelines
GPU-as-a-service for enterprises and providers
Self-hosted or managed

Tags

MLOpsGPU managementEnterprise

Frequently asked questions

Is ClearML currently available?

No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.

What is ClearML?

ClearML is a AI Platforms tool developed by ClearML. AI infrastructure platform: a control plane for GPU clusters, development tooling, and GPU-as-a-service offerings.

Is ClearML free?

ClearML uses a freemium model: a free tier is available, and paid plans unlock more usage and advanced features.

Is ClearML open source?

No — ClearML is proprietary software.

What are the best alternatives to ClearML?

Notable AI Platforms alternatives include Hugging Face, Replicate, Ollama. Browse all 138 tools in our AI Platforms category for a full overview.

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Basic Info

Pricing
Freemium
Editorial score
★ 4.3 / 5 How we score
Platforms
WebAPILibrary
Last verified
Not recorded