Mirantis joins NVIDIA AI Factory for Government to speed adoption of AI agents
Mirantis has been selected as a collaborator in the NVIDIA AI Factory for Government. The goal: give agencies a trusted foundation to build and deploy AI agents and applications while keeping control, clarity, and compliance in sight.
Agencies want progress without extra risk. A recent Government Accountability Office review notes many teams still see policy and data privacy rules as blockers to AI. That's the gap this partnership targets-faster delivery, with audit-ready guardrails. See GAO's AI work.
"By integrating Mirantis k0rdent AI with NVIDIA technology, platform architects and MLOps engineers gain access to an AI infrastructure management that supports scalable AI workloads and inference application hosting, all while ensuring security and compliance at scale," said Kevin Kamel, Vice President, Product Management at Mirantis. "This integration empowers organizations to confidently accelerate their AI initiatives within governed environments."
The NVIDIA AI Factory for Government supports deployment on-site or in hybrid cloud environments. It's built to run diverse workloads, including generative AI and high-performance computing, without giving up scalability or oversight. Learn about NVIDIA's government initiatives.
What this means for agencies
- Deploy AI where it fits your risk profile: on-premises or hybrid, with tighter control over data and access.
- Standardize infrastructure for training, fine-tuning, and inference so teams can move from pilots to production.
- Support generative AI and HPC use cases on a consistent platform built with security and compliance in mind.
- Shorten time-to-value by using tested components rather than building every layer from scratch.
Practical first steps
- Map sensitive datasets, classify them, and set access controls, retention, and audit logging requirements up front.
- Pick 1-2 pilot use cases with clear outcomes (e.g., document summarization, case intake triage, staff knowledge assistants).
- Plan your Authority to Operate: control-plane location, data residency, encryption (e.g., FIPS 140-3), identity, and Zero Trust integration.
- Stand up an MLOps workflow for model selection, evaluation, monitoring, and rollback-human oversight for higher-risk actions.
- Budget for GPU capacity and support; align procurement, SLAs, and incident response with mission needs.
- Upskill your team so pilots don't stall. For role-based learning paths, see Complete AI Training: Courses by Job.
Why it matters
This collaboration gives government programs a credible way to move from proofs of concept to operational AI agents. You keep control of data and compliance, while giving teams the infrastructure to build useful applications that actually ship.
Your membership also unlocks:
