Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
ClearML records 20,123 monthly visits with -60.9% month-over-month growth and Contact for Pricing pricing. UbiOps records 15,928 monthly visits with +2.6% growth and Contact for Pricing pricing.

Run, orchestrate and scale AI workloads on any infrastructure
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | clear.ml | ubiops.com |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 20.12K (20,123) | 15.93K (15,928) |
| MoM Traffic Delta | -31.39K (-60.9%) | +397 (+2.6%) |
| Primary Market & Share | 🇩🇪 Germany (27.4%) | 🇳🇱 Netherlands (83.9%) |
| Direct Visits / mo | 6.67K | 12.55K |
| User Rating | 4.3 | 4.2 |
| Supported Platforms | Website | Website |

Open AI infrastructure platform for managing GPU clusters and shipping models to production
Connect and govern GPU clusters across on-prem, cloud, and hybrid setups with multi-tenancy, RBAC, quota management, fractional GPUs, and priority-based scheduling.
A builder workbench with an integrated development environment plus experiment tracking, data integration, dashboards, pipelines, model repository, and CI/CD integration.
Deploy LLMs onto existing clusters with handled networking, authentication, and security, so teams can launch secure model APIs with minimal manual configuration.
Granular cost tracking by compute hours, storage, and API calls lets IT teams allocate spend back to the projects and departments that consume it.

Run, orchestrate and scale AI workloads on any infrastructure
Deploy and manage models from one interface whether they run locally, in a hybrid cloud, or spread across several cloud providers.
Turn models into production API endpoints with versioning, scaling algorithms, and monitoring built in, so teams avoid managing Kubernetes and cloud infrastructure themselves.
Instantly scale AI and machine learning workloads onto GPU capacity as demand changes, keeping compute costs under control.
API management, version control, access management, resource prioritization, auditing, and monitoring come as standard, helping prevent shadow IT.
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud

Free / Open-sourceCloud ComfyUI platform to run workflows and build AI apps
Free / Open-sourceCloud ComfyUI platform to run workflows and build AI apps
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Free / Open-sourceOpen-source model and dataset hub with one-click online demos

Free / Open-sourceSelf-hosted AI workspace for local and cloud models
Free / Open-sourceSelf-hosted AI workspace for local and cloud models

The environments frontier AI trains on, and the agents that do the recurring work
The environments frontier AI trains on, and the agents that do the recurring work

Hands-on lab infrastructure for AI, cloud, and data education

AI data infrastructure for building production-grade models
AI data infrastructure for building production-grade models

Free / Open-sourceTrack, evaluate, and ship AI models and agents in one connected environment.
Free / Open-sourceTrack, evaluate, and ship AI models and agents in one connected environment.

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI

Free / Open-sourceOpen-source workspace to build, deploy and govern AI agents

Free / Open-sourceLabel any data. Evaluate any AI.

Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents