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If Vmmem or VmmemWSL is using unusually high memory or CPU in Windows Task Manager, do not treat it like an ordinary application and kill it first. Vmmem usually represents the Windows-side resources consumed by WSL 2, Docker Desktop, Hyper-V, Windows Sandbox, an Android emulator, or another virtualized workload.

The safe immediate reset for WSL is wsl --shutdown, but that stops every running WSL 2 distribution and can interrupt Docker containers, databases, development servers, and background Linux services. The lasting fix is to identify the workload behind Vmmem, stop or limit that workload, update WSL and Windows, and investigate file-watching, systemd, Docker, or sleep/resume problems when CPU remains high after Linux appears idle.

How to Fix Vmmem High Memory and CPU Usage

What Vmmem and VmmemWSL actually mean

Vmmem is generally a resource-accounting process for a virtual machine or virtualization layer. It is not normally an independent application with its own useful window or a process you should delete. Depending on your setup, it may represent resources consumed by:

  • WSL 2 and its managed lightweight utility VM;
  • Docker Desktop using the WSL 2 backend;
  • a regular Hyper-V virtual machine;
  • Windows Sandbox;
  • an Android emulator or another virtualization product.

WSL 2 runs Linux distributions inside a managed lightweight VM with a shared Linux kernel, CPU allocation, memory pool, and swap. Multiple WSL 2 distributions therefore do not automatically receive separate host memory pools. A global .wslconfig setting can affect all WSL 2 distributions using that VM. See Microsoft’s explanation of WSL architecture and the current WSL configuration documentation.

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Docker Desktop’s WSL backend also runs Docker in a WSL distribution commonly named docker-desktop, while sharing the WSL 2 utility VM. Consequently, the Vmmem figure in Task Manager is not a one-to-one display of one Linux process’s resident memory. It can include guest kernel memory, Linux filesystem page cache, container memory, services from several distributions, swap activity, and virtualization overhead. Task Manager alone usually cannot tell you which Linux process is responsible.

A high Vmmem value is not automatically a virus or a memory leak. If WSL, Docker, Hyper-V, Sandbox, or an emulator is installed, a virtualization process is expected. An unexplained Vmmem instance still deserves investigation, especially if you do not knowingly use any virtualization software.

Use this quick decision tree

What you observe Most useful next step
A Linux process or container is actively using CPU or memory Stop, reconfigure, or limit that process or container.
Memory is high, but Linux applications are quiet and free -h shows substantial cache Enable or verify WSL memory reclamation and use a sensible WSL memory ceiling.
A container is the largest consumer in docker stats Investigate the container and apply per-container CPU or memory limits.
CPU remains high while Linux process lists appear idle Investigate file watchers, Docker integration, VS Code Remote – WSL, systemd, sleep/resume, and WSL version issues.
Vmmem remains after stopping one distribution Check for other distributions, docker-desktop, or another VM. Use wsl --shutdown only when stopping all WSL workloads is acceptable.
You do not use WSL or Docker Check Hyper-V Manager, Windows Sandbox, Android emulators, and other VM software.

Immediate, safe recovery

Before stopping anything, save work in Windows and Linux. A database, SSH server, web server, compiler, or container may be running without a visible terminal.

Stop one WSL distribution

First list the distributions that are running:

wsl --list --running

Then terminate only the affected distribution:

wsl --terminate <DistributionName>

For example, replace the placeholder with the exact name shown by wsl --list --running. This is the least disruptive WSL reset, but it does not stop other distributions or necessarily stop Docker’s WSL backend.

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Stop all WSL 2 distributions and the shared VM

wsl --shutdown

Microsoft documents wsl --shutdown as terminating all running distributions and the WSL 2 lightweight utility VM. It can therefore stop Docker containers, Docker’s engine, systemd services, databases, development servers, SSH sessions, and Linux GUI applications. It is an effective emergency reset, not a diagnosis or permanent cure. If Docker Desktop or another client is configured to restart automatically, Vmmem can return immediately.

For the command behavior and other WSL controls, see Microsoft’s WSL basic commands reference.

If Docker Desktop is involved

  1. Stop the affected container or bring down its Compose project.
  2. Quit or restart Docker Desktop if it immediately recreates the workload.
  3. Run wsl --shutdown.
  4. Reopen Docker Desktop only after deciding which containers should restart.

Do not routinely kill Vmmem, VmmemWSL, vmwp.exe, or wslservice.exe in Task Manager. Those processes belong to the virtualization layer; forcibly killing them can leave WSL, Docker, or a VM in an inconsistent state. Do not unregister a distribution, delete Docker’s WSL data, disable Virtual Machine Platform or Hyper-V, or reinstall WSL as a first-line memory fix.

Find the workload behind Vmmem

1. Inventory WSL from PowerShell

Run these commands in PowerShell:

wsl --list --running
wsl --list --verbose
wsl --status
wsl --version

--list --running shows active distributions. --list --verbose shows installed distributions and whether each uses WSL 1 or WSL 2. The status and version commands show general configuration and the installed WSL component versions. If a distribution is running, it is a possible source even if you closed its terminal.

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2. Inspect Docker separately

If Docker Desktop is installed or running, use:

docker ps
docker stats --no-stream
docker system df -v

docker ps lists running containers. docker stats --no-stream gives a one-time reading of each container’s CPU, memory, network, block I/O, and process information. It is usually the quickest way to find out whether one container explains the host-side Vmmem activity. The Docker stats reference explains the reported fields.

docker system df -v shows Docker’s disk usage. It is useful for identifying large images and build caches, but disk usage is not the same as active RAM usage.

3. Inspect processes inside the affected distribution

Open the distribution and run:

ps -eo pid,ppid,%cpu,%mem,rss,cmd --sort=-%cpu | head -20
ps -eo pid,ppid,%cpu,%mem,rss,cmd --sort=-%mem | head -20
free -h
vmstat 1
df -h

If systemd is enabled, also run:

systemctl --type=service --state=running

Interpret the results rather than focusing only on the Vmmem number:

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  • A process at the top of the CPU list points to a real Linux workload such as a compiler, watcher, database, browser, model server, Kubernetes component, or application loop.
  • A process with a large RSS value points to active application memory. Stop or reconfigure that process before lowering the entire WSL VM limit.
  • High cache in free -h, together with relatively low application memory and reasonable available memory, often indicates filesystem page cache rather than an application leak.
  • High swap use or continuous swap activity, especially with low available memory, suggests that the WSL limit may be too low or that the workload genuinely needs more RAM.
  • An apparently idle process list combined with sustained host CPU points away from ordinary cached memory. Investigate file watchers, Docker integration, systemd services, sleep/resume behavior, or a WSL regression.

There may be more than one source. For example, an Ubuntu distribution can host a development server while Docker runs containers in its own WSL distribution. “No containers are running” does not mean that no Linux service is running.

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Is high Vmmem memory usage normal?

It can be normal during a compile, container image build, database import, Kubernetes deployment, model load, Linux GUI session, or other intensive task. Linux also keeps recently used filesystem data in page cache, so memory allocated during a large build may not instantly return to Windows when the build ends.

The important questions are:

  • Is Windows under actual memory pressure?
  • Does Vmmem grow continuously without stabilizing?
  • Are Windows applications slow, swapping, or reporting out-of-memory conditions?
  • Is an active Linux process, container, or service still using the memory?
  • Does memory fall after the workload stops or after the WSL VM is shut down?

Microsoft’s current WSL documentation lists a default WSL 2 memory assignment of 50% of total Windows memory and a default swap size of 25% of Windows memory rounded up to the nearest gigabyte. These are documented defaults for current WSL behavior, not a guarantee for every old WSL build or configuration. Actual host usage depends on workload, cache, swap, version, and configuration.

Set a persistent WSL 2 memory and CPU ceiling

Use the Windows-side file %UserProfile%.wslconfig for global WSL 2 VM settings. This is different from /etc/wsl.conf, which controls distribution-level behavior. Microsoft also recommends using WSL Settings where that interface is available; manual .wslconfig editing remains supported.

Create or edit the file from PowerShell with:

notepad $env:USERPROFILE.wslconfig

If the file already contains settings, merge the required entries rather than replacing unrelated configuration. A clearly labeled example is:

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[wsl2]
memory=8GB
processors=4
swap=4GB

[experimental]
autoMemoryReclaim=dropCache

These values are examples, not universal recommendations. A machine running a small shell may work well with a much smaller allocation, while Docker, Kubernetes, databases, Android tooling, large builds, and machine-learning workloads may need substantially more. Leave enough RAM and CPU for Windows applications.

Setting What it controls Important trade-off
memory The maximum memory assigned to the shared WSL 2 VM. Too low can cause Linux OOM kills, failed builds, swapping, and poor performance.
processors The logical processors available to the WSL 2 VM. Too low limits parallel builds and can make workloads slower; too high can compete with Windows.
swap Disk-backed memory used when RAM is pressured. Swap can prevent immediate failure, but it is slower than RAM and can cause disk thrashing.
autoMemoryReclaim How WSL reclaims unused Linux page cache. It affects reclaimable cache, not an active process, a container’s working set, or every kind of memory leak.

The current Microsoft documentation lists these defaults for current WSL builds:

Setting Documented default
memory 50% of Windows memory
processors All logical processors
swap 25% of Windows memory, rounded up to the nearest GB
autoMemoryReclaim dropCache in the current documentation

After saving the file, apply the change by stopping the WSL VM:

wsl --shutdown

Start the distribution again. Configuration changes do not fully apply until the WSL VM has stopped and restarted. Because the WSL 2 VM is shared, the ceiling affects all WSL 2 distributions and Docker’s WSL backend, not just the distribution where you edited a file.

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Choose an automatic memory-reclamation mode

autoMemoryReclaim is documented as an experimental option. The available modes are:

[experimental]
autoMemoryReclaim=disabled
[experimental]
autoMemoryReclaim=gradual
[experimental]
autoMemoryReclaim=dropCache
  • disabled turns off automatic reclamation.
  • gradual reclaims cached memory slowly.
  • dropCache reclaims cached memory immediately.

Start with the documented default or an explicit dropCache setting when the main problem is retained page cache after builds or container activity. Try gradual if smoother reclamation is more important than immediate return of cache, but test it with your actual workload. Do not claim that this setting repairs every memory problem: it does not fix an active process, a database’s allocated memory, a container leak, a kernel defect, or a filesystem issue.

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There are issue-specific reports involving autoMemoryReclaim=gradual, Docker Resource Saver, and WSL command hangs. These reports are not proof that the feature is generally unsafe, but they are a reason to revert the setting and update WSL if commands or long-running services become unstable. See WSL issue #10901 for that particular report.

Docker Desktop: control the actual source

Measure before changing WSL-wide limits

Docker containers have no resource constraints by default and can consume available CPU and memory allowed by the host kernel. If one container is responsible, a global WSL cap is less precise than fixing that container. Start with:

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docker stats --no-stream

Look for a runaway build, file watcher, database, browser, language server, Kubernetes component, or application loop. Stop the container or Compose project first and confirm whether Vmmem falls.

Limit a container

A basic example is:

docker run --memory=512m --cpus=0.5 <image>

Docker documents --memory as a hard memory ceiling and --cpus as a CPU limit. Choose values from measured usage. A limit that is too low can throttle an application, cause an out-of-memory kill inside the container, or make builds fail even when Windows still has unused RAM. See Docker’s container resource constraints documentation.

For a Compose service, the Compose specification supports resource limits such as:

services:
app:
image: example/app
deploy:
resources:
limits:
cpus: '0.50'
memory: 512M

Support and behavior can vary by Compose implementation and deployment mode, so verify the result with docker stats. The Compose deploy specification documents the resource fields.

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Understand Docker Resource Saver

Docker Desktop’s Resource Saver can reduce idle resource use, but Docker’s current documentation says that on Windows with the WSL backend it pauses the Docker Engine rather than stopping the shared WSL VM. It can reduce WSL CPU utilization, but it does not reduce Docker’s WSL memory utilization. For retained Linux page cache, Docker recommends considering WSL’s autoMemoryReclaim instead. See Docker Resource Saver documentation.

Do not spend time looking for an old Docker Desktop memory slider if you are using the WSL 2 backend. Docker’s current settings documentation says that WSL 2 mode uses the WSL 2 utility VM for memory, CPU, and swap limits. The conventional Docker Desktop VM resource controls primarily apply to the Hyper-V backend and other platforms. Configure the shared WSL VM through WSL Settings or .wslconfig.

Move Linux projects into the Linux filesystem

File watchers and heavy bind mounts can create high CPU and I/O activity, especially when Linux tools repeatedly scan Windows-mounted paths under /mnt/c. Docker recommends keeping source code inside the WSL filesystem when Linux tools and containers do most of the work:

mkdir -p ~/src
cd ~/src

Prefer a path such as /home/<user>/project over /mnt/c/Users/<user>/project for Linux-heavy development. This generally provides better bind-mount performance and Linux-native file notification behavior. Keep Windows-side projects under /mnt/c when Windows applications are the primary users, but avoid making Linux containers constantly traverse the Windows filesystem. See Docker’s WSL 2 best practices.

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Do not mistake Docker cleanup for RAM cleanup

docker system df -v
docker system prune

docker system prune removes unused containers, networks, images, and build cache. It primarily recovers disk space and does not stop an active process or instantly reduce the working set of a running container. Volumes are not removed by default. Adding --volumes can remove unused volumes containing data, so never use that option casually. Review Docker’s system prune reference before cleaning.

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Fix high CPU when Linux looks idle

A memory cap will not fix a CPU loop. If the Linux process list is quiet but Vmmem continues consuming CPU, work through these possibilities:

  1. Check Docker and Kubernetes. A container, Compose project, Kubernetes control plane, or Docker Desktop service can continue after you close a terminal. Use docker ps and docker stats --no-stream, then stop the responsible workload.
  2. Check systemd services. If systemd is enabled, run systemctl --type=service --state=running. A database, watcher, web server, language server, or scheduled service may be running in the background.
  3. Check file watchers. Development tools, IDE integrations, and build systems can rescan large trees continuously. Move Linux-heavy projects from /mnt/c into the WSL filesystem and temporarily disable extensions or watchers to test.
  4. Check VS Code Remote – WSL. Look for a reconnect loop or a language server repeatedly restarting, particularly after a network change, update, sleep, or resume.
  5. Check GUI applications and local services. A Linux GUI program, browser, model server, database, or background daemon may not be visible in the terminal you closed.
  6. Test sleep and resume. If the issue starts after sleep or hibernation, close Docker Desktop, VS Code Remote – WSL, terminals, and other WSL clients before sleep as a diagnostic test. Reproduce after a clean reboot.
  7. Update WSL and Windows. A stuck integration or resume problem can be version-specific. Update before assuming a particular Windows update is the cause.

Microsoft’s issue tracker contains reports of high Vmmem CPU after hibernation, WSL hangs after resume, and WSL GUI failures. Those reports demonstrate possible failure modes, not a universal explanation for every post-sleep incident. See WSL issue #8930 for an example.

Update WSL before deeper troubleshooting

In an elevated or regular PowerShell window, depending on your installation:

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wsl --update

If the Microsoft Store delivery path is unavailable, use:

wsl --update --web-download

Then verify:

wsl --version
wsl --status

Install current Windows updates as well, especially if the issue began after sleep, hibernation, a Windows update, or a Docker update. The WSL release page changes over time, so use wsl --update rather than hard-coding a version in a troubleshooting guide. For date context, the releases page listed stable WSL 2.7.11, published July 24, 2026, and a newer 2.9.4 prerelease as of August 9, 2026; preview builds should not be treated as the normal production fix. Check the WSL releases page for the current status.

If you use Hyper-V, Sandbox, or an Android emulator

If WSL and Docker are not the source, do not apply .wslconfig. That file controls WSL 2, not ordinary Hyper-V virtual machines.

For a regular Hyper-V VM:

  1. Open Hyper-V Manager.
  2. Identify running virtual machines.
  3. Shut down unused VMs.
  4. Open Settings for the VM.
  5. Review Memory, including Startup RAM, Minimum RAM, Maximum RAM, and Dynamic Memory.
  6. Review Processor and reduce an excessive virtual-processor allocation when appropriate.
  7. Restart the VM and monitor host memory and CPU.

Hyper-V Dynamic Memory lets the host reclaim unused guest memory, but the guest still needs an adequate startup and minimum allocation. Smart Paging can help a VM restart when memory is temporarily unavailable, but it uses disk and can substantially reduce performance. See Microsoft’s documentation for Hyper-V Dynamic Memory and Hyper-V VM memory and processor configuration.

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Also check whether Windows Sandbox, an Android emulator, or another VM product is active. Stop that workload through its own interface rather than killing the generic virtualization process in Task Manager.

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Common failure modes

.wslconfig appears to do nothing

Check each item:

  • The file is exactly %UserProfile%.wslconfig, not .wslconfig.txt.
  • The section is spelled [wsl2].
  • The values use valid units and syntax.
  • The distribution is actually WSL 2, not WSL 1.
  • You ran wsl --shutdown after saving the file.
  • You edited /etc/wsl.conf while expecting it to change VM-wide memory.
  • Docker Desktop or another client did not immediately restart the WSL VM.

.wslconfig applies to WSL 2 and its global VM settings, not WSL 1. It also applies globally, so it cannot provide a separate documented memory= value for each distribution.

Terminating one distribution reduces usage, but Vmmem remains

This can be expected if another WSL 2 distribution is running, Docker’s docker-desktop distribution is active, or a background service is keeping the VM alive. Run:

wsl --list --running
wsl --shutdown

The first command identifies remaining distributions. The second stops the entire WSL 2 VM, provided no application restarts it immediately.

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The memory limit causes crashes or sluggishness

Raise the limit rather than assuming Vmmem is broken if Linux begins killing processes, builds fail, or disk activity becomes constant. Lowering memory protects Windows but can starve every WSL 2 distribution and Docker. Lowering processors limits parallelism. Increasing swap may prevent immediate failure but can cause severe disk thrashing. A container-specific limit can also cause a container OOM kill even when the host still has free RAM.

High memory continues with no containers

Run these inside the affected distribution:

ps aux --sort=-%mem | head
free -h
systemctl --type=service --state=running

Look for a systemd service, database, language server, model server, GUI application, filesystem cache, another WSL distribution, or Docker’s own distribution. If the process list and cache do not explain the reading, update WSL and investigate a possible integration or kernel issue rather than deleting data.

wsl --shutdown hangs or fails

  1. Save Windows and Linux work if possible.
  2. Close Docker Desktop, VS Code Remote – WSL, terminals, and other WSL clients.
  3. Try wsl --shutdown again.
  4. Reboot Windows if the VM cannot be cleanly stopped.
  5. Update WSL and Windows.
  6. If the problem is reproducible, collect logs and a diagnostic dump instead of repeatedly killing virtualization processes.

Microsoft’s WSL troubleshooting guide provides escalation guidance, including collecting a dump from VmmemWSL when WSL hangs. Record the Windows build, WSL version, Docker Desktop version, distribution name, WSL 1 or WSL 2 mode, current .wslconfig, exact commands that freeze, and whether the problem began after an update or sleep/resume cycle.

When switching away from WSL 2 makes sense

Switch a specific distribution to WSL 1

For a distribution that does not need a full Linux kernel, systemd, Docker, or modern kernel features, you can use:

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wsl --set-version <DistributionName> 1

WSL 1 does not use the WSL 2 managed VM and can be preferable when strict memory behavior or Windows-filesystem performance is more important than full Linux compatibility. WSL 2 provides a full Linux kernel and is generally the better choice for Docker, systemd, Linux-native I/O, and workloads requiring modern Linux behavior. Docker Desktop’s WSL backend requires WSL 2, so converting a Docker-dependent distribution is not a drop-in replacement. Review Microsoft’s WSL 1 versus WSL 2 comparison before converting.

Use a regular VM, remote Linux, or native Linux

A dedicated Hyper-V VM gives more explicit VM-level memory and processor controls. A remote Linux machine or cloud development environment avoids making Windows desktop applications compete with sustained Kubernetes, database, model-serving, or large-build workloads. Native Linux removes the WSL virtualization layer entirely. These are architectural alternatives for workloads that consistently exceed the machine’s comfortable capacity, not quick fixes for an accidental Vmmem spike.

Frequently Asked Questions

Does closing a WSL terminal stop Vmmem?

No. A terminal can close while a systemd service, database, file watcher, Docker container, VS Code Remote – WSL process, or another WSL distribution continues running. Use wsl --list --running and inspect Linux and Docker processes.

Will wsl --shutdown delete my Linux files?

No. It stops the running WSL distributions and shared WSL 2 VM, but it is not the same as unregistering a distribution. It will interrupt active workloads, so save work first. Unregistering a distribution is destructive and should only be considered with a verified backup.

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Should I disable Hyper-V or Virtual Machine Platform to fix Vmmem?

No, not if you use WSL 2, Docker Desktop’s WSL backend, Hyper-V, Windows Sandbox, or another virtualization feature. Disabling those components removes the technology that the workload needs and does not identify the underlying CPU or memory consumer.

Is autoMemoryReclaim a fix for a WSL memory leak?

Not generally. It is an experimental WSL setting for reclaiming unused Linux page cache. It does not repair active-process growth, a container’s working set, database memory, or kernel and filesystem defects.

The Bottom Line

Bottom line: Vmmem is usually the visible accounting layer for WSL 2 or another virtualized workload. Identify the source with wsl --list --running, docker stats --no-stream, and Linux process tools; stop one distribution with wsl --terminate or reset all WSL workloads with wsl --shutdown when necessary. For recurring memory pressure, configure a global .wslconfig ceiling and memory reclamation. For recurring CPU pressure, fix the container, service, file watcher, IDE integration, or sleep/resume problem rather than lowering memory blindly.

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