# ClearML

According to OpenAITools.app telemetry verified on 2026-11-11, ClearML (clear.ml) is an AI platform indexed under AI Developer Tools generating 20.12K monthly visits with a month-over-month traffic delta of -31.39K (-60.9%). Its primary geographic market is Germany (27.4% traffic share), and it operates on a Contact for Pricing pricing model. Top competing alternatives by monthly volume include Weights & Biases (CoreWeave Forge) (315.62K visits/mo), UbiOps (15.93K visits/mo), ModelScope (3.09M visits/mo).

Open AI infrastructure platform for managing GPU clusters and shipping models to production

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | ClearML |
| Handle | clear-ml |
| Status | active |
| Origin | official |
| Maintenance | active |
| Official Domain | clear.ml |
| Website URL | https://clear.ml |
| Categories | AI Developer Tools, Large Language Models (LLMs), AI Models, AI Workflow, AI API |
| Pricing Model | Contact for Pricing |
| Monthly Visits | 20,123 |
| MoM Traffic Change | -31,392 |
| MoM Growth Rate | -60.9% |
| Primary Market | Germany |
| Market Share | 27.4% |
| Direct Visits | 6,667 |
| Organic Search Visits | — |
| Social Visits | — |
| Referral Visits | 1,627 |
| Email Visits | 405 |
| Review Score | 4.3 |
| Saved Count | 1 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Features: Website; Pricing: Contact for Pricing |
| Tags | AI Infrastructure Platform, GPU Management, MLOps, GenAI Deployment, AI/ML Development, Kubernetes, Cloud Deployment |

## Overview

ClearML packages the operational side of AI into one platform. The Infrastructure Control Plane connects and manages GPU resources across on-premises, cloud, and hybrid environments, adding multi-tenancy, role-based access control, quota management, fractional GPUs, priority-based scheduling, and usage-based billing for chargebacks. The goal is straightforward: raise utilization of the hardware a company already owns and make GPU-as-a-Service practical for internal teams.

The AI Development Center is the builder-facing half. It provides a workbench with an integrated development environment for coding, testing, and deploying models, plus data integration, experiment tracking, automation, dashboards, pipelines, a model repository, and CI/CD hooks. Because it is cloud-agnostic and silicon-agnostic, teams can keep their existing tooling while gaining a consistent workflow from research through production.

The GenAI App Engine handles deployment of large language models onto those same clusters. ClearML manages networking, authentication, access control, and monitoring so a team can launch a secure LLM API with minimal setup, fine-tune an off-the-shelf model, or wire up data ingestion and vector databases. The platform is sold on an enterprise model — demos and quotes rather than self-serve checkout — and it publishes an annual State of AI Infrastructure report.

## Pricing & Plans

ClearML is sold as an enterprise platform with demo-led and quote-based pricing; a free starting tier is advertised alongside Request Demo calls to action. Specific seat, GPU, or usage rates are not published, so buyers should contact sales for a quote.

## Key Features & Capabilities

- **Infrastructure Control Plane:** Connect and govern GPU clusters across on-prem, cloud, and hybrid setups with multi-tenancy, RBAC, quota management, fractional GPUs, and priority-based scheduling.
- **AI Development Center:** A builder workbench with an integrated development environment plus experiment tracking, data integration, dashboards, pipelines, model repository, and CI/CD integration.
- **GenAI App Engine:** Deploy LLMs onto existing clusters with handled networking, authentication, and security, so teams can launch secure model APIs with minimal manual configuration.
- **Usage-based billing and chargebacks:** Granular cost tracking by compute hours, storage, and API calls lets IT teams allocate spend back to the projects and departments that consume it.
- **Vendor- and cloud-agnostic design:** Works across different silicon, clouds, and environments, avoiding lock-in while keeping one consistent workflow from experimentation to production.

## Primary Use Cases

- **Turn idle GPUs into internal GPU-as-a-Service (ML Platform / DevOps Engineer):** Set up multi-tenant GPU provisioning with quotas and fractional allocation, so research teams get one-click access instead of filing tickets for hardware.
- **Run reproducible experiments and pipelines (Data Scientist / ML Engineer):** Track runs, compare metrics, and automate training pipelines in a shared environment that stays consistent from local prototyping to cluster-scale training.
- **Deploy LLM applications on existing infrastructure (GenAI Team Lead):** Stand up secured model APIs, manage access, and connect data and vector stores without building a bespoke deployment stack from scratch.
- **Control AI compute spend (FinOps / IT Leadership):** Use utilization reporting and usage-based chargebacks to delay hardware purchases, expose wasteful workloads, and justify AI budget allocations.

## Strengths

- One platform covers cluster management, MLOps, and LLM deployment rather than stitching three vendors together
- Strong GPU utilization, scheduling, and chargeback features aimed squarely at cost control
- Cloud-, silicon-, and vendor-agnostic, which limits lock-in for mixed infrastructure
- Meaningful adoption footprint with enterprise references, documentation, and training guides

## Limitations

- Enterprise, quote-based sales means no transparent public pricing and a longer procurement cycle
- The breadth of the platform can be heavy to adopt for small teams that only need experiment tracking
- Self-hosting and cluster integration work assumes real infrastructure and platform engineering capacity

## Frequently Asked Questions

### What exactly does ClearML do?
It is an AI infrastructure platform with three parts: a control plane that manages GPU clusters across on-prem, cloud, and hybrid environments, a development center for building and tracking ML models, and an app engine for deploying GenAI and LLM workloads.

### Is ClearML free to use?
The site offers a free starting tier alongside demo requests, but ClearML is primarily sold as an enterprise platform. Pricing is quote-based and not published, so you need to contact the company for exact terms.

### Does ClearML work with our existing cloud and hardware?
The platform is marketed as cloud-agnostic, silicon-agnostic, vendor-agnostic, and environment-agnostic, so it is designed to sit on top of mixed on-premises and cloud GPU capacity rather than replacing it.

### Can it help reduce GPU costs?
That is one of its core pitches. Multi-tenancy, quota management, fractional GPUs, priority scheduling, and usage-based chargebacks are all aimed at raising utilization of hardware you already own so you can delay new purchases.

### What is ClearML's monthly traffic and growth trend?
ClearML currently receives 20.12K monthly visits, with a month-over-month traffic change of -31.39K (-60.9% growth rate). Its primary source market is Germany (27.4% share), including 6.67K direct visits/mo and — organic search visits/mo.

### Is ClearML free? What is its pricing model?
ClearML operates on a Contact for Pricing pricing model. ClearML is sold as an enterprise platform with demo-led and quote-based pricing; a free starting tier is advertised alongside Request Demo calls to action. Specific seat, GPU, or usage rates are not published, so buyers should contact sales for a quote. Supported billing and checkout platforms include: not listed.

### What are the best ClearML alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to ClearML are: 1. Weights & Biases (CoreWeave Forge) (315.62K visits/mo); 2. UbiOps (15.93K visits/mo); 3. ModelScope (3.09M visits/mo); 4. Arize AI (249.03K visits/mo); 5. SuperAnnotate (386.03K visits/mo).

### Which platforms and core AI capabilities does ClearML support?
ClearML is classified under AI Developer Tools, Large Language Models (LLMs), AI Models, AI Workflow, supports the following platforms: Website, and its core capability tags include: AI Infrastructure Platform, GPU Management, MLOps, GenAI Deployment, AI/ML Development, Kubernetes.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | Freemium, Contact for Pricing, Free | [Compare](https://openaitools.app/compare/clear-ml-vs-prompts) |
| [UbiOps](https://openaitools.app/tool/ubiops) | 15,928 | Contact for Pricing | [Compare](https://openaitools.app/compare/clear-ml-vs-ubiops) |
| [ModelScope](https://openaitools.app/tool/modelscope-community) | 3,085,423 | Free | [Compare](https://openaitools.app/compare/clear-ml-vs-modelscope-community) |
| [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/arize-com-vs-clear-ml) |
| [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | Free Trial, Contact for Pricing | [Compare](https://openaitools.app/compare/clear-ml-vs-super-annotate) |
| [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | Free, Freemium, Paid | [Compare](https://openaitools.app/compare/clear-ml-vs-ollama) |
| [Maxim AI](https://openaitools.app/tool/maxim-ai) | 121,351 | Contact for Pricing, Free Open Source | [Compare](https://openaitools.app/compare/clear-ml-vs-maxim-ai) |
| [Label Studio](https://openaitools.app/tool/label-studio) | 137,199 | Contact for Pricing, Free | [Compare](https://openaitools.app/compare/clear-ml-vs-label-studio) |
| [Future AGI](https://openaitools.app/tool/future-agi) | 121,741 | Freemium, Usage-based | [Compare](https://openaitools.app/compare/clear-ml-vs-future-agi) |
| [Klu](https://openaitools.app/tool/klu-ai-public-beta) | 30,504 | Freemium, Free Trial, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/clear-ml-vs-klu-ai-public-beta) |
| [honeyhive.ai](https://openaitools.app/tool/honeyhive-ai) | 8,835 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/clear-ml-vs-honeyhive-ai) |
| [BasicAI Cloud](https://openaitools.app/tool/basicai-cloud) | 21,670 | Freemium, Enterprise Quote | [Compare](https://openaitools.app/compare/basicai-cloud-vs-clear-ml) |

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Source: https://openaitools.app/tool/clear-ml