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ClearML AI Platform

As the leading infrastructure platform for unleashing AI in organizations worldwide, ClearML is used by more than 1,600 customers to manage GPU clusters and optimize utilization, streamline AI/ML workflows, and deploy GenAI models effortlessly. ClearML’s unified platform is flexible, open source, as well as vendor-, silicon-, hardware-  and cloud-agnostic. Use the full platform alone or with your favorite tools for addressing AI, GenAI, LLMOps, and MLOps use cases within your organization. Our modular, open architecture supports on-premise, cloud, and hybrid environments for maximum flexibility and frictionless integrations.

ClearML AI Infrastructure Control Plane

ClearML’s Infrastructure Control Plane is a powerful solution for managing and optimizing AI compute resources across on-prem, cloud, hybrid, and even air-gapped environments. It enables organizations to centralize control of GPU and CPU clusters, offering secure multi-tenancy, quota and policy management, dynamic fractional GPUs, and detailed usage tracking to maximize performance, efficiency, and ROI.

With vendor-agnostic orchestration, seamless support for Kubernetes, Slurm, PBS, and bare metal, and a user-friendly interface that abstracts Kubernetes complexity, IT teams can deliver GPU-as-a-Service, reduce overhead, and empower AI builders with self-serve access. From enterprise-grade governance to elastic scaling and cloud cost controls, the Infrastructure Control Plane transforms fragmented environments into a unified, future-proofed AI platform – helping public sector teams scale AI securely, efficiently, and with full operational control.

ClearML AI Development Center

ClearML’s AI Development Center is a complete workbench for building, training, and deploying AI/ML models at scale, designed to streamline the entire development lifecycle from lab to production. As part of ClearML’s modular AI Platform, it integrates seamlessly with your existing tools and infrastructure, supporting any compute environment – on-prem, hybrid, multi-cloud, or air-gapped.

AI builders can launch experiments, manage data, optimize models, and deploy LLMs or custom agents with just a few clicks, using built-in orchestration, scheduling, and automation. With support for JupyterLab, VS Code, CI/CD pipelines, and hyperparameter optimization, the AI Development Center empowers teams to innovate faster, collaborate more efficiently, and deliver production-ready AI with full reproducibility and minimal operational friction.

ClearML GenAI App Engine

ClearML’s GenAI App Engine empowers public sector agencies to rapidly develop, deploy, and scale GenAI applications with security, control, and efficiency. Designed to accelerate time-to-mission, it allows teams to launch LLMs, RAG pipelines, and agentic AI apps with a single click, while ClearML handles networking, authentication, and compute orchestration behind the scenes.

Whether deploying on-prem, in GovCloud, or across hybrid environments, agencies gain full visibility and control over usage, performance, and access through role-based policies and endpoint monitoring. With built-in cost-saving features like GPU autoscaling and idle model management, and tools for data ingestion, vector databases, and feedback loops, ClearML makes it easy to incubate GenAI initiatives securely and scale them agency-wide without vendor lock-in.