Principal HPC Network Engineer

Mirantis, which provides Kubernetes-native infrastructure for AI, has integrated open-source NVIDIA Run:ai with its k0rdent AI platform. Run:ai handles AI workload and GPU orchestration within NVIDIA DSX OS. The integration gives operators one operational model, from bare-metal provisioning and cluster lifecycle management to GPU scheduling. It is available through the k0rdent catalog and automates installation of the Run:ai control plane and its supporting components. Mirantis says this helps cloud providers and enterprises raise GPU utilisation, keep software configurations consistent, and fix problems faster. "By automating deployment and lifecycle management across the AI factory stack, we help providers reduce complexity, maximize infrastructure efficiency, and accelerate time to revenue," said Kevin Kamel, vice president of product management at Mirantis. Mirantis will attend NVIDIA GTC Berlin, October 20–22.

Mirantis launches training courses for using AI agents and building AI infrastructure. New hands-on courses help non-engineers build working AI agents and infrastructure professionals deploy GPU clusters for AI workloads CAMPBELL, Calif.-(BUSINESS WIRE)-#AI-Mirantis, delivering Kubernetes-native infrastructure for AI, today announced two comprehensive training courses to help organizations develop AI skills across technical and non-technical teams. One course (AI-DEV 100) on agentic workflows teaches participants how to effectively use AI agents without writing code, while the other course (AI-INFRA 100) focuses on deploying and operating GPU infrastructure for AI workloads. The course on using AI agents is four modules with no prerequisites and includes a hands-on lab to actually build a working agentic workflow. It is aimed at people who know how to chat with an AI model and are in non-engineering roles, with no requirement for writing code. The other course of four modules covers IT infrastructure for GPU and AI workloads starting with a foundation that builds an understanding of differences between traditional IT infrastructure and the infrastructure for GPU and AI workloads. The other modules are more in-depth for experienced people in technical roles on topics such as cluster provisioning, cluster networking that include hands-on labs. "AI technology has come on so quickly that there is a lot of learning and collaboration needed," said Dom Wilde, senior vice president and general manager - enterprise AI cloud business, Mirantis. "That is what we're addressing with these training courses intended for very different audiences." Mirantis has a long history of helping technology professionals build practical skills. For more than a decade, the company has provided instructor-led and self-paced training that combines instruction and hands-on experience in areas including cloud-native operations, containers, Kubernetes, and OpenStack. The new courses extend that to the next generation of AI agent and AI infrastructure technology, helping both business and technical professionals develop the skills required to build, deploy and operate AI systems. About Mirantis Mirantis delivers the fastest path to scalable, efficient GPU cloud infrastructure for neoclouds and enterprise AI factories, with full-stack AI infrastructure technology that removes complexity and streamlines operations across the AI lifecycle, from Metal-to-Model. Through k0rdent AI and strategic partnerships, Mirantis helps organizations maximize GPU utilization, improve cloud economics, and accelerate time to revenue with production-grade multi-tenancy, intelligent workload orchestration, and automated operations. Mirantis is a registered trademark of Mirantis, Inc. Metal-to-Model is a trademark of Mirantis, Inc. All other trademarks are the property of their respective owners.

Mirantis experts speaking on AI topics at conferences worldwide. Part of company initiative around industry collaboration and education for technology to support AI CAMPBELL, Calif., September 15, 2026-(BUSINESS WIRE)-Mirantis, delivering Kubernetes-native infrastructure for AI, today announced that its experts will be speaking on AI topics at conference events this month in the U.S, Europe, and Japan. At the upcoming AI Infrastructure Summit in Santa Clara, Calif. on September 15, Stephen Frassetti, field chief technology officer at Mirantis, will participate in a panel discussion about IT infrastructure to support AI workloads, Operating Distributed AI: Orchestrating Compute, Networking, and Cloud-Native Platforms Across the AI Factory. At the same event, Neil Overmon, senior director of solution architecture at Mirantis, will demonstrate how to deploy, scale, and operate GPU infrastructure through automated provisioning and lifecycle management that reduces operational complexity in a session titled From Metal to Model: Turning GPU Infrastructure into AI Power. At AGNTCon + MCPCon in Amsterdam, Netherlands on September 17, Bharath Nallapeta, team lead for the Mirantis Open Source Project Office, has a session about the problem today that AI agents can use four different technologies to pay for things - all without a budget allocation or audit trail. He advocates for the one layer that the agent economy is still missing in the session, Your Agent Has a Wallet. Who Has the Receipts? At the AGNTCon + MCPCon event in Tokyo, Japan on September 10, Prithvi Raj, community manager and developer advocate at Mirantis, joined with Juhi Singh of Kong, to discuss about applying open source technologies for monitoring and governance for AI agents in a session titled, The Production Gap: Why Governing Agent Traffic Is the Key To Shipping Multi-Agent Systems. The conference speaking engagements are all part of Mirantis' initiative around industry collaboration and education regarding technology that supports AI deployments. "As AI technology rapidly evolves, there are challenges that emerge and need to be addressed in order to realize the full advantage of AI," said Dom Wilde, senior vice president and general manager - enterprise AI cloud business, Mirantis. "Our company is taking a leading role in industry discussions to help accelerate the pace of learning and understanding about AI technology." About Mirantis Mirantis delivers the fastest path to scalable, efficient GPU cloud infrastructure for neoclouds and enterprise AI factories, with full-stack AI infrastructure technology that removes complexity and streamlines operations across the AI lifecycle, from Metal-to-Model. Through k0rdent AI and strategic partnerships, Mirantis helps organizations maximize GPU utilization, improve cloud economics, and accelerate time to revenue with production-grade multi-tenancy, intelligent workload orchestration, and automated operations.