Allegro AI

ClearML provides AI infrastructure for managing GPU clusters, machine learning workflows, and model deployment.

clear.ml
Allegro AI homepage screenshot

About Allegro AI

ClearML is an AI infrastructure platform for connecting and managing GPU clusters across on-premises, cloud, and hybrid environments. Its Infrastructure Control Plane includes multi-tenancy, role-based access control, quota management, priority-based job scheduling, fractional GPU allocation, and usage-based billing by computing hours, storage, and API calls.

It also provides an AI Development Center for coding, testing, and deploying machine learning models with data integration, monitoring, dashboards, pipelines, a model repository, and CI/CD integration, and a GenAI App Engine for deploying large language models with access control, monitoring, data ingestion, vector database creation, and feedback gathering.

Key features

  • Manage GPU clusters across on-premises, cloud, and hybrid environments
  • Multi-tenant access with role-based controls and isolated networks and storage
  • Quota management and priority-based job scheduling for shared compute
  • Usage-based billing by compute hours, storage, and API calls
  • Integrated IDE with pipelines, model repository, dashboards, and CI/CD integration
  • Deploy LLMs with access control, monitoring, data ingestion and vector database tools
Best for: IT teams and AI builders who manage shared GPU clusters and develop and deploy machine learning and GenAI models.
Good for
  • Works with on-premises, cloud, and hybrid GPU clusters
  • Includes multi-tenancy, role-based access control, and usage-based billing
  • Combines infrastructure management, model development, and LLM deployment

Allegro AI at a glance

Website
clear.ml
Type
Online tool
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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Allegro AI FAQ

Can I use existing GPU clusters with ClearML?
Yes. The platform connects to GPU clusters on-premises, in the cloud, or both.
What is included for GenAI projects?
Tools for data ingestion, vector database creation, feedback gathering, and LLM deployment with access control and monitoring.
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