Virtual machine (VM) for Local AI
Run Ollama, Open WebUI, and your RAG stack inside a virtual machine—full isolation, snapshots, and the same Linux environment on any host. On your own hardware or a private cloud.
What is a virtual machine?
A virtual machine (VM) is a software computer that runs on top of a physical host. It has its own virtual CPU, RAM, disk, and operating system (typically Linux). The host runs a hypervisor (e.g. VMware, VirtualBox, KVM, Hyper-V) that creates and manages VMs. Each VM is isolated from the host and from other VMs—so you can run the full Local AI stack inside one VM without affecting the rest of the machine.
For Local AI, that often means: one Linux VM with Ollama, Open WebUI, and optional RAG services installed. You snapshot the VM before big changes, clone it for testing, or move it to another host. Data and models live inside the VM (or on attached virtual disks) so everything stays portable and contained.
Why use a VM for Local AI?
Isolation
The Local AI stack runs in its own OS. No conflicts with host apps or other workloads. You can dedicate CPU and RAM to the VM and keep the host for other tasks.
Snapshots & rollback
Save a snapshot before upgrading Ollama or changing config. If something breaks, restore the snapshot. Great for testing and safe updates.
Portability
Move or copy the VM to another host—same hardware or different. Useful for backup, disaster recovery, or migrating from a laptop to a server.
VM vs container
A VM gives you a full guest OS and stronger isolation; a container shares the host kernel and is lighter. Use a VM when you want a dedicated Linux box (e.g. one VM per team or environment), snapshots, or when you’re already standardised on VMs. Use containers when you want minimal overhead and fast start/stop. You can also run containers inside a VM—e.g. a Linux VM with Docker running Ollama and Open WebUI.
Containers & Docker for Local AI →Linux in a VM
The same stack we describe on the Linux page—Ollama, Open WebUI, RAG, systemd or Docker—runs inside a Linux VM. We can help you size the VM (vCPU, RAM, disk), choose a hypervisor, and install the stack so it starts on boot. GPU passthrough is possible on supported hosts if you need acceleration inside the VM.
Local AI on Linux →Next steps
Want to run Local AI in a VM—on your hardware or in a private cloud? We can scope the VM, install the stack, and document snapshots and backup.
Talk about VM & Local AI