ClearML

ClearML is an AI infrastructure platform that engineering teams use to manage GPU clusters, whether on-premises servers, cloud providers, or a mix. It includes role-based access control and can split a single GPU across multiple jobs to reduce waste. Its AI Development Center gives data scientists a shared coding environment with built-in monitoring, and it connects to standard CI/CD pipelines for automated testing and deployment. A separate GenAI App Engine handles setup and access control for apps built on large language models. It is built by the company ClearML, which reports more than 2,100 organizations using the platform, including customers in finance, defense, and telecommunications. A free tier is available, with custom pricing for larger deployments.

This fits a company running its own GPU hardware, or mixing on-premises GPUs with cloud instances, that wants one system to schedule and track that usage instead of managing it by hand. A workable starting point is the free tier with one machine learning team that already has GPU access, to see if cluster management and experiment tracking fit current workflows. ClearML does not publish enterprise pricing, so treat the free tier as a proof of concept and request a quote once the team confirms real value. The main risk is that the platform assumes a reasonable level of existing MLOps maturity; a team without any GPU infrastructure yet may get more value starting with cloud-only tools, and independent user reviews are less common than for larger competitors.