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Portainer Use Cases

Enterprise AI Infrastructure

Deploying AI infrastructure on-premises in regulated enterprise environments

LLMs, coding assistants, vision models, ML pipelines, and inferencing workloads running on-premises, air-gapped, and under full organizational control.
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Far Edge AI

AI vision inferencing at far-edge sites on GPU hardware you own

Computer vision models running at line speed on GPU-enabled edge devices, managed centrally, deployed via KubeSolo, from a single Portainer instance.
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Industrial IoT

Managing large-scale fleets of IoT, IIoT, and automotive edge devices

Tens of thousands of containerized edge devices KubeSolo, Docker, or Podman runtimes: deployed, updated, and governed centrally through the Portainer Industrial App Portal.
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Platform Engineering

A self-service CaaS / KaaS platform for dev teams, data scientists, and business users

Enterprise IT runs the infrastructure. Everyone else deploys their own applications: vibe-coded LoB tools, data science notebooks, full-stack web apps: without filing a ticket or waiting for an ops team.
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Infrastructure Modernization

Migrating from Docker Swarm to production Kubernetes: without the operational risk

A structured migration path from Docker Swarm to Kubernetes using Talos Linux and Portainer D2K, with Portainer managing the target environment from day one.
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Defense Technology

Containerized workloads at the hostile edge and across defense installations

Tactical compute at the hostile edge, defense installation OT infrastructure, and autonomous maritime and aerial platforms: containerized workloads in environments where conventional tooling cannot operate.
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