With ClearML, you can use any type of machine learning, deep learning, or LLM model, on any large dataset, in any architecture and integrate seamlessly with your current AI/ML framework or stack, at scale. That’s because our end-to-end AI Platform was designed by developers, for developers, building AI in the most complex and demanding environments.
AI Builders and DevOps use our AI Infrastructure Control Plane to manage, orchestrate, and schedule GPU compute resources, regardless of whether they are on-premise, in the cloud, or hybrid – so they can build, train, and deploy models at scale on any AI infrastructure. With ClearML, government and public agency customers can fully utilize their GPUs while closely controlling performance and costs.
The ClearML AI Development Center is a unified, open source platform for unleashing AI at scale, trusted by forward-thinking Data Scientists, ML Engineers, DevOps, and decision makers at leading government agencies and public sector organizations, as well as Fortune 500, enterprises, academia, and innovative start-ups worldwide. ClearML enables customers to build continuous AI workflows -- from experiment management and orchestration through data management and scheduling, followed by provisioning and serving -- to achieve the fastest time to AI production, fastest time to value, and increased performance. In this way, ClearML accelerates AI adoption across business units, helping customers reach their revenue potential and materialize their AI investments.
With ClearML’s GenAI App Engine, AI builders within public agencies and the government sector can create LLMs with their own internal data, in order to be deployed into their applications as APIs. As part of the customization process, the GenAI App Engine simplifies the process of building the RAG system by creating a vector database of the internal data.