When you run virtual machines (VMs) on a network-attached storage (NAS) device, the primary changes are increased CPU and RAM demands, a shift from pure storage serving to concurrent compute and I/O workloads, and the need to manage resource contention between the NAS operating system, file services, and each VM. You’re essentially turning a dedicated storage appliance into a hybrid server, which affects performance, capacity planning, and how you manage the device.
Formula
The basic formula for estimating total resources needed for VMs on a NAS is:
Total CPU cores = (Number of VMs × CPU cores per VM) × (1 + Hypervisor overhead / 100)
Total RAM (GB) = (Number of VMs × RAM per VM) × (1 + Hypervisor overhead / 100)
Where:
- Number of VMs – the count of virtual machines you plan to run concurrently.
- CPU cores per VM – the number of virtual CPUs assigned to each VM.
- RAM per VM – the amount of memory allocated to each VM, in gigabytes.
- Hypervisor overhead – the percentage of extra CPU and RAM consumed by the virtualization layer itself (typically 5–15%).
The formula gives a planning estimate, not a precise measurement. Actual usage depends on the workload inside each VM and the efficiency of the hypervisor.
Worked Example
Using the default values from the calculator: 2 VMs, 2 CPU cores each, 4 GB RAM each, and 10% overhead.
Step 1: Calculate total CPU cores.
Total CPU = (2 × 2) × (1 + 10/100) = 4 × 1.1 = 4.4 cores
Step 2: Calculate total RAM.
Total RAM = (2 × 4) × (1 + 10/100) = 8 × 1.1 = 8.8 GB
So you would need roughly 4.4 CPU cores and 8.8 GB of RAM available on the NAS for these two VMs, in addition to the resources the NAS operating system and file services already consume. In practice, you would round up to at least 5 cores and 9 GB, and likely more for headroom.
What a NAS Is Designed For
Traditionally, a NAS is a dedicated file server. Its job is to store data on hard drives or SSDs and serve it over the network using protocols like SMB (Windows), NFS (Linux/Unix), or AFP (older Mac). The hardware is optimized for that task: low-power CPUs, modest RAM (often 2–16 GB), and multiple drive bays configured in RAID for redundancy. The operating system (often a customized Linux distribution) is stripped down to manage storage, shares, and basic services like backup or media streaming.
When you add virtualization, you are asking that same hardware to do something fundamentally different: run complete operating systems (Windows, Linux, etc.) as VMs, each with its own virtual CPU, memory, storage, and network interfaces. This requires a hypervisor – software that creates and manages VMs – such as Virtualization Station on QNAP, Virtual Machine Manager on Synology, or Proxmox VE on custom-built NAS hardware.
Hardware Requirements Shift Dramatically
The most obvious change is hardware. A NAS that is fine for file storage may be woefully underpowered for VMs. Here’s what changes:
- CPU: File serving rarely uses more than a couple of cores. VMs, especially for desktop OSes or databases, need multiple fast cores. Look for an Intel or AMD x86_64 processor (ARM-based NAS units generally cannot run mainstream x86 VMs).
- RAM: Each VM needs its own memory. A lightweight Linux VM might run in 1–2 GB, but a Windows 10/11 VM typically needs 4–8 GB. The NAS OS and file services also need their share. 8 GB is a practical minimum for running a couple of small VMs; 16 GB or more is recommended for serious use.
- Storage: VMs create large disk image files that grow over time. A VM with a 50 GB virtual disk will consume at least 50 GB of NAS storage, often more with snapshots. SSDs (SATA or NVMe) are strongly recommended for VM storage because random I/O performance is critical for booting and running operating systems.
- Network: Multiple VMs sharing a single 1 GbE port can saturate it quickly. 2.5 GbE, 10 GbE, or link aggregation are common upgrades.
Performance: The New Bottleneck
In a pure NAS, the bottleneck is almost always network speed or disk I/O. When you add VMs, CPU and RAM become equally important. A VM that is busy (e.g., running a web server, compiling code, or handling a database) will consume CPU cycles that would otherwise be idle. If the NAS CPU is too weak, the whole system – including file transfers – can become sluggish.
RAM is even more critical. If the NAS runs out of memory, it will start swapping to disk, which is extremely slow and affects everything. The hypervisor itself also uses memory for its own structures and to cache VM disk writes. A good rule of thumb is to allocate at least 10% extra RAM beyond what the VMs are configured with, plus enough for the NAS OS (typically 1–2 GB).
Storage performance matters too. VMs generate a lot of small random reads and writes, especially during boot and when running applications. Traditional hard drives (HDDs) are poor at this; a single VM can make a 4-bay HDD array feel unresponsive. SSDs, particularly NVMe, are far better suited. Many NAS units support SSD caching, which can help, but for serious VM workloads, all-flash storage is the right choice.
Management and Backup: New Complexity
Running VMs on a NAS means you now have two layers to manage: the NAS itself and the VMs. This adds complexity:
- Backups: You need to back up both the NAS data and the VMs. VM backup is different from file backup – you typically need to snapshot the entire VM or use agent-based backup software. Many NAS systems offer built-in VM backup, but you must configure it.
- Updates: The NAS OS, the hypervisor, and each guest OS all need updates. A security patch for the NAS may require a reboot, which will shut down all running VMs unless you have live migration (rare on consumer NAS).
- Resource Monitoring: You must watch CPU, RAM, and storage usage across both the NAS and the VMs. Most NAS systems provide a resource monitor, but you may need to set up alerts.
- Networking: Each VM needs a virtual network interface. You can use NAT (the VM shares the NAS’s IP), bridged (the VM gets its own IP on your LAN), or an internal virtual switch. Bridged mode is usually best for VMs that need to be accessible from other devices.
Common Problems and How to Avoid Them
Here are the most frequent issues people run into when virtualizing on a NAS:
- Underestimating RAM: The #1 mistake. Always add up the RAM for all VMs, the NAS OS, and the hypervisor overhead. If you plan to run 3 VMs with 4 GB each, you need at least 12–14 GB, not 12 GB.
- Using HDDs for VM storage: Performance will be terrible. Use SSDs or at least a fast SSD cache.
- Not leaving headroom: If you use 100% of CPU or RAM, the NAS will become unresponsive. Leave 20–30% idle capacity for spikes.
- Forgetting about network bandwidth: A single 1 GbE port caps out at about 110 MB/s. If you have multiple VMs doing file transfers, they will compete.
- Ignoring cooling: Running VMs makes the CPU work harder, generating more heat. Ensure the NAS has adequate ventilation, especially in a closed cabinet.
Alternatives to Running VMs on a NAS
If your NAS is too weak, or you don’t want the complexity, consider these alternatives:
- Use Docker containers: Most modern NAS systems support Docker (or a similar container runtime). Containers are lighter than VMs – they share the host OS kernel and use far less RAM and CPU. They are ideal for running lightweight services like Plex, Home Assistant, or a web server. However, they cannot run a full Windows VM or a different OS kernel.
- Run VMs on a separate server: Use a dedicated mini-PC or old desktop as a virtualization host (e.g., with Proxmox or ESXi) and keep the NAS for storage. Connect them with a fast network (10 GbE if possible). This separates concerns and avoids resource contention.
- Use a NAS with a more powerful CPU: Some high-end NAS models (e.g., with Intel Core i5/i7 or AMD Ryzen) are designed for virtualization. They cost more but handle VMs much better.
Costs and Power Consumption
Virtualizing on a NAS can save money compared to buying a separate server, but it has hidden costs. A NAS with a powerful CPU and 16 GB RAM costs significantly more than a basic 2-bay model. Also, running VMs increases power consumption – the CPU draws more power under load, and you may need additional cooling. Over a year, the electricity cost can be noticeable. On the other hand, consolidating services onto one device saves physical space and reduces the number of devices to maintain.
Frequently Asked Questions
Can any NAS run virtual machines?
No. The NAS must have an x86_64 (Intel or AMD) processor; ARM-based NAS units generally cannot run standard x86 VMs. It also needs a hypervisor app (like Virtual Machine Manager on Synology or Virtualization Station on QNAP) and enough RAM. Check the manufacturer’s specifications for VM support.
How much RAM do I need for 2 VMs on a NAS?
For two Windows VMs with 4 GB each, you need at least 8 GB for the VMs, plus 1–2 GB for the NAS OS and 10% overhead. That’s roughly 10–11 GB, so 16 GB is a safe choice. For Linux VMs with 2 GB each, 8 GB total might suffice.
Is it better to run VMs or Docker containers on a NAS?
It depends. Containers are more efficient (use less RAM and CPU) and are great for single-purpose services like Plex or Node-RED. VMs are needed when you require a full operating system, such as Windows, or when you need strong isolation between applications. For most home users, containers are the better first choice.
Will running VMs slow down my file transfers?
Yes, if the NAS CPU or RAM is saturated. File serving also uses CPU and network I/O. If a VM is doing heavy work (e.g., transcoding video), it will compete for resources. Using SSDs and having enough RAM helps, but there is always some impact.
Can I back up a VM running on my NAS?
Yes. Most NAS hypervisors have built-in backup features that create snapshots of VM disks. You can also use third-party backup software that supports the hypervisor. Always test restores to ensure your backups work.
What is the safest way to run VMs on a NAS?
Keep the NAS OS and hypervisor updated, use a UPS to avoid power loss, and ensure adequate cooling. Also, do not run VMs on the same RAID array that holds critical data without a separate backup, because a corrupted VM disk image could affect the whole volume.
Related
Formula used
in t | Number of VMs | VMs | 2 | 1 | 10 in cpu | CPU cores per VM | cores | 2 | 1 | 16 in ram | RAM per VM | GB | 4 | 1 | 64 in overhead | Hypervisor overhead | % | 10 | 0 | 50 out total_cpu | Total CPU cores needed | cores | (t * cpu) * (1 + overhead/100) | 1 out total_ram | Total RAM needed | GB | (t * ram) * (1 + overhead/100) | 1
Each line is one input (in, sel, list) or one result (out: label, unit, formula, decimals). How the calculators work
Method: the standard formula for this calculation, rounded as each result states. See how the calculators work or report an error.
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