How Virtual Machines Use Your Computer’s RAM


A few months back I was running a Windows Server VM in VirtualBox to test a client's Active Directory setup, and my host machine — a laptop with 16GB RAM, nothing fancy — started crawling. Chrome froze. My mouse cursor was lagging half a second behind my hand. I genuinely thought the laptop was dying.

It wasn't dying. It was swapping.

I had given the VM 8GB of RAM, had Chrome open with about twenty tabs, VS Code running, and a Docker container in the background for an unrelated project. My host didn't have 8GB to spare. It never really did — I just hadn't done the math.

That afternoon taught me more about how VMs actually use RAM than any diagram ever did. So let's go through it properly, the way I wish someone had explained it to me before I locked up my own machine.


RAM isn't "given away" the way people think

When you set a VM to use, say, 4GB of RAM in VirtualBox or VMware Workstation, a lot of people picture that as carving out a physical 4GB chunk and handing it over, like slicing a cake. It's close, but not quite right.

What actually happens is your hypervisor reserves and manages a block of memory that the guest OS (the VM) believes is its own physical RAM. Inside the VM, Windows or Linux has no idea it's virtual. It thinks it's talking directly to RAM chips. In reality, every memory request from the guest gets translated by the hypervisor into an actual address on your real RAM.

This translation layer is why VMs feel almost native in speed for most tasks, but also why memory-heavy operations can get weird if you don't plan for them.

Also Read: How Hypervisors Control Multiple Virtual Machines


Where your RAM actually goes

Here's the breakdown that finally made it click for me. Say you have 16GB total RAM.

  • Your host OS itself is using RAM before you even open the hypervisor. Windows 11 idling can easily sit at 3–4GB. Ubuntu as a host is lighter, maybe 1–1.5GB.
  • Your hypervisor software — VirtualBox, VMware Workstation, or a Type 1 hypervisor like Proxmox — takes its own slice just to run.
  • Whatever you allocate to the VM comes out of what's left.

So on my 16GB laptop, after Windows and VirtualBox overhead, I realistically had about 10–11GB free. Assigning 8GB to one VM left almost nothing for my actual work on the host. That's the mistake. Not a hypervisor bug — just bad arithmetic on my part.


Static allocation vs. dynamic memory

This is where things split depending on which platform you use, and it trips a lot of people up.

VirtualBox uses static allocation by default. Whatever number you set in Settings > System > Memory is essentially locked in the moment you power the VM on. If you set 4GB, VirtualBox grabs 4GB from the host whether the guest is actually using 500MB or the full 4GB. It doesn't give it back until you shut the VM down.

VMware Workstation has a feature that behaves a bit more flexibly with memory trimming, but it still front-loads a large reservation.

Hyper-V on Windows has something called Dynamic Memory, which actually grows and shrinks the VM's RAM allocation based on real usage, within a min/max range you define. This one genuinely helped me once I switched a few test VMs over to it — my host stopped feeling starved when the VMs were idle.

Proxmox and other KVM-based Type 1 hypervisors use something called ballooning, which I'll get to in a second because it's honestly the cleverest part of this whole system.


Memory ballooning — the trick that surprised me

The first time I read about balloon drivers, I thought it sounded made up. It's not.

Here's the idea: say a VM was given 4GB but is only actively using 1.5GB at the moment. A balloon driver installed inside the guest OS can "inflate," artificially telling the guest OS that memory is being consumed, which forces the guest to release unused pages back. The hypervisor then reclaims that freed memory and can hand it to another VM that actually needs it. When the guest needs its memory back, the balloon deflates and gives it back.

It's basically memory being borrowed and returned on demand, invisible to the guest OS.

I set this up on my Proxmox home lab running three VMs at once — a Kali box, an Ubuntu test server, and a small pfSense router VM — and watched free memory shift between them in real time using the Proxmox dashboard. Genuinely satisfying to watch once you understand what's happening.


The problem nobody warns you about: swapping

This is the part that actually caused my laptop freeze.

When your host runs out of physical RAM to satisfy what the VM and everything else is asking for, it starts using swap space — writing memory pages to your disk (or SSD) temporarily. Disk, even a fast NVMe SSD, is dramatically slower than RAM. When your system starts swapping heavily, everything feels sluggish because your computer is constantly reading and writing memory pages to storage instead of just accessing RAM directly.

That laggy mouse cursor I mentioned earlier? Classic symptom of host-level swap thrashing.


How I actually check this now, step by step

I don't guess anymore. Here's what I do before spinning up any VM:

  • Step 1 — Check available host RAM first. On Windows, open Task Manager > Performance > Memory and look at "Available," not just total installed RAM. On Linux hosts, run free -h in terminal and check the "available" column.
  • Step 2 — Subtract host OS and hypervisor overhead. Give yourself a realistic buffer. I personally never allocate more than 60–65% of my available RAM to a single VM, especially if I'm still using the host for anything else.
  • Step 3 — Set VM memory conservatively, then scale up. Start a new VM at 2GB or 4GB rather than maxing it out. You can almost always increase it later. It's much easier to bump memory up than to recover from a host that's swapping.
  • Step 4 — Monitor while the VM runs. On VirtualBox, the VM's status bar at the bottom shows a small memory indicator. On Proxmox, the dashboard gives you a live graph per VM. On Hyper-V, Performance Monitor with the Hyper-V Dynamic Memory counters is genuinely useful once you know it exists.

Step 5 — Watch for host-level swap activity, not just VM usage. This is the step people skip. Your VM can look totally healthy internally while your host is quietly swapping in the background. On Windows, check the "Committed" figure in Task Manager's Performance tab. On Linux hosts, vmstat 1 will show you swap in/out activity live — if those numbers are climbing while you're not doing anything unusual, that's your answer.

Also Read: What Happens When a Virtual Machine Crashes


Mistakes I've made, so you don't have to

  • Allocating RAM based on what a VM "might eventually need" instead of what it actually uses day to day. I did this with a Windows Server VM meant for testing, gave it 8GB "just in case," and it sat there mostly idle while starving my host.
  • Forgetting that multiple VMs running simultaneously compound the problem fast. Three VMs at 4GB each isn't just 12GB — it's 12GB plus hypervisor overhead plus your host OS, and suddenly you're negotiating with an 8GB shortfall you didn't plan for.
  • Not installing guest additions or VM tools. In VirtualBox, Guest Additions actually improve how efficiently the guest manages memory and reports usage back. Skipping this step means you're flying a bit blind on both allocation and performance.
  • Assuming static allocation gets released automatically when the VM is idle. It doesn't, at least not in VirtualBox's default mode. The RAM stays locked to that VM until you power it down, not just minimize the window.

Final thoughts

Once I actually understood that RAM allocation isn't "set it and forget it," running multiple VMs on a single home lab machine stopped feeling like a gamble. I now treat memory the same way I'd treat a shared office budget — everyone gets what they realistically need to do their job, not the maximum they could theoretically ask for.

If your host has ever slowed to a crawl right after starting a VM, before blaming your hardware, check what's actually available versus what you've promised your VMs. Nine times out of ten, that's the real culprit.

Hashir
Author At TopicGems • Published Friday, September 11, 2026
Hashir is a freelance cybersecurity professional and web developer, working with clients since 2022. He writes about virtualization, networking, and cloud infrastructure based on hands-on client work.

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