ClearML Introduces Floating NVIDIA AI Enterprise License Management with One-click NVIDIA NIM Deployments

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Automated on-demand consumption and instant deployment of NVIDIA NIM now available on ClearML's AI infrastructure platform

SAN FRANCISCO, CA / ACCESS Newswire / March 17, 2026 / ClearML, the leading end-to-end solution for unleashing AI in the enterprise, today announced advanced license management capabilities for NVIDIA AI Enterprise, enabling organizations to centrally manage, distribute, and orchestrate their NVIDIA NIM containers across AI infrastructure. ClearML now offers management of floating licenses, ensuring licenses are dynamically assigned when NIM workloads are launched and automatically released when idle for reallocation to other teams and projects.

As enterprises leverage NVIDIA Nemotron open models, NIM, and NVIDIA AI Blueprints, as a part of NVIDIA AI Enterprise software for launching AI applications, managing licenses across distributed teams and infrastructure has become increasingly complex. ClearML addresses this challenge by offering effortless management of the distribution of NVIDIA AI Enterprise licenses for an organization's GPUs. Licenses are automatically allocated when NVIDIA AI Enterprise workloads are launched, and once workloads complete, licenses are auto-released back to the pool for immediate reallocation. This dynamic approach gives organizations operational flexibility with on-demand consumption while ensuring licenses are actively supporting AI workloads across teams. This new offering empowers enterprises to deploy any workload, in any environment, with streamlined operations and optimized performance.

"NVIDIA AI Enterprise makes it easy for teams to deploy optimized model inference at scale," said Moses Guttmann, Co-founder and CEO of ClearML. "With ClearML's floating license management, teams can now fully unlock that potential, efficiently and on-demand. Organizations can orchestrate NVIDIA AI Enterprise workloads across their entire infrastructure and scale their deployment of these optimized containers as their AI initiatives grow. ClearML provides secure access to the NVIDIA AI Enterprise software, so customers have the flexibility to start small and scale based on their needs."

How It Works

ClearML orchestrates the entire NVIDIA AI Enterprise license lifecycle:

  1. Centralized License Pool: All NVIDIA AI Enterprise licenses are managed from a single control plane, eliminating the need for manual license tracking across teams and infrastructure.

  2. On-Demand Allocation: Licenses are allocated automatically when a NVIDIA AI Enterprise workload is launched, ensuring seamless deployment without manual intervention.

  3. Automatic Release and Reallocation: When workloads complete, licenses are immediately returned to the pool for other teams to use, enabling efficient resource sharing.

  4. Multi-Environment Deployment: Works seamlessly across distributed infrastructure, whether on-premises, in the cloud, or hybrid environments, giving teams flexibility in how they deploy AI workloads

ClearML enables teams to focus on building AI applications rather than managing license logistics.

Availability

ClearML's NVIDIA AI Enterprise license management capabilities are now available to enterprise customers. Organizations interested in optimizing their NVIDIA NIM deployments can request a demo at https://clear.ml/demo.

About ClearML

As the leading infrastructure platform for unleashing AI in organizations worldwide, ClearML is used by more than 2,100 customers to manage GPU clusters and optimize utilization, streamline AI/ML workflows, and deploy GenAI models effortlessly. ClearML is trusted by more than 300,000 forward-thinking AI builders and IT teams at leading Fortune 500 companies, enterprises, academia, public sector agencies, and innovative start-ups worldwide. To learn more, visit the company's website at https://clear.ml.

Contact:

Noam Harel

Email: [email protected]

Phone: +14152651681

SOURCE: ClearML, Inc.

View the original press release on ACCESS Newswire
 

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