On-Premise or Cloud: A Quick Decision Guide

The question frequently arises: should you run your machines on-premise or in the cloud? The answer depends on more than price. How often you use the machine, who uses it, where your data needs to stay, and how long you need it all matter.

How often do you need the machine?

Think about how often the machine will actually be running. If you need it every day, owning hardware can make more sense over a long period because the machine is always available. If you only need it occasionally, a cloud desktop lets you rent the capacity when you need it.

A machine used for a few days each month is a different decision from one running workloads every day. Look at your actual usage rather than how much capacity you might need in the future.

How many people use it?

If one person needs the machine, a cloud desktop can be a simple way to get the resources they need without setting up physical hardware. For a team, the question becomes how many people need access and whether they need to work at the same time.

A team with stable, heavy usage may have a good reason to own its own hardware. A team with changing workloads may prefer the flexibility of cloud desktops.

Does the data need to stay on-site?

Consider where your data is allowed to live. If company policy, regulations, customer requirements, or the nature of the work requires data to stay inside your own network, on-premise hardware may be the better option.

If your data can be processed outside your facility, cloud desktops give you more flexibility. You can access the machine remotely without keeping physical hardware on-site.

Do you have IT staff?

Someone needs to look after on-premise hardware. That can include deployment, updates, troubleshooting, monitoring, and replacing failed components. If you already have IT staff managing infrastructure, an on-premise machine may fit into your existing setup.

If you do not have dedicated IT staff, consider who will handle those jobs. Owning the hardware does not necessarily mean you have to do all the maintenance yourself. A managed on-premise system can cover that work while the hardware stays in your environment.

Do you need specific hardware?

Some workloads have requirements that are difficult to change. You may need a particular CPU, GPU, amount of RAM, storage configuration, or physical form factor.

If those requirements are important, custom on-premise hardware gives you more control over the system. If you only need a certain level of CPU or GPU capacity, a cloud desktop may be enough.

This applies to more than GPU workloads. Machine learning, rendering, and video production may need specific GPUs, while builds, CI, development, and data workloads may depend more on CPU, memory, or storage.

How long is the project?

Think about how long you expect to need the machine. For a project lasting a few weeks or months, renting a cloud desktop can be practical because you can stop using it when the project ends.

For a workload that will run for years, buying hardware becomes more worth considering. You have a larger upfront cost, but the machine remains available for future work.

There is also a middle ground. A project can start in the cloud while you are still figuring out the workload. Once the requirements become stable, you can decide whether owning hardware makes more sense.

There's no universal answer

There's no universal answer. The right choice depends on your workload, your data, and your team. If you're not sure, talk to us. We do both.

Want to talk about your use case? Contact us and we'll point you in the right direction.