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ML Operations

ClearML

AI infrastructure control plane with experiment tracking and GPU management

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About ClearML

ClearML offers a platform for managing AI infrastructure and workflows, with a control plane for GPU resources, an AI development center for experiment tracking and pipelines, and a GenAI engine for serving LLMs. It supports on-premises, cloud and hybrid environments.

Common use cases

  • Managing shared GPU clusters
  • Tracking experiments
  • Deploying LLM endpoints
  • Hybrid ML infrastructure

Products and services

Infrastructure Control Plane

GPU resource management with multi-tenancy and quotas.

AI Development Center

IDE-based workbench with experiment tracking and pipelines.

GenAI App Engine

Deploys LLMs as secure APIs with access control.

Key features

  • Experiment tracking
  • GPU scheduling
  • Pipeline orchestration
  • Model serving
  • Multi-tenancy
  • Usage billing

Integrations

  • Kubernetes
  • PyTorch
  • TensorFlow
  • Slurm
  • AWS
  • Microsoft Azure

ClearML alternatives

FAQs

Where can it run?

On-premises, cloud and hybrid.

Is it open source?

A core open source ClearML project exists; enterprise features are commercial.

Does it handle GPU scheduling?

Yes, via its infrastructure control plane.

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