Where enterprise teams
put Portainer to work.
One platform, many operating models. From regulated on-premises AI to Docker Swarm migration to containerized workloads at the hostile edge, these are the jobs enterprise IT teams hand to Portainer.
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.
Open use case →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 and deployed via KubeSolo from a single Portainer instance.
Open use case →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, from vibe-coded LoB tools to data science notebooks to full-stack web apps, without filing a ticket or waiting for an ops team.
Open use case →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.
Open use case →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, in environments where conventional tooling cannot operate.
Open use case →One platform, not twelve tools.
Govern Kubernetes across your whole fleet from a single control plane.