On-Premise vs Cloud: A Concise Decision Framework

A frequent query is whether to host your workloads on-premise or in the cloud. The optimal choice extends beyond cost considerations. Factors such as usage frequency, user base, data residency requirements, and required duration are all critical determinants.

What is your usage frequency?

Assess the actual runtime requirements of the machine. For daily, consistent usage, investing in owned hardware is often more cost-effective over time, given its constant availability. Conversely, for intermittent needs, a cloud desktop offers the advantage of on-demand capacity rental, eliminating idle costs.

A machine required only a few days a month represents a different decision context than one handling continuous daily workloads. Base your choice on current usage patterns rather than speculative future capacity needs.

How many users are involved?

For individual users, cloud desktops provide a streamlined approach to accessing necessary resources without the overhead of physical hardware setup. For teams, the key considerations shift to concurrent access needs and the scale of user base.

Teams with stable, high-volume usage may benefit from owning dedicated hardware. In contrast, teams with variable workloads might find the scalability of cloud desktops more advantageous.

Are there data residency constraints?

Evaluate where your data is permitted to be stored and processed. If corporate policies, regulatory compliance, customer mandates, or the sensitive nature of the work dictate that data must remain within your internal network, on-premise infrastructure is likely the preferred solution.

If your data can be processed externally, cloud desktops offer greater flexibility. This allows remote access to resources without the need for physical hardware to be present on-site.

Do you have in-house IT resources?

On-premise hardware requires ongoing management, including deployment, patching, troubleshooting, monitoring, and hardware replacement. If your team already manages infrastructure, integrating an on-premise machine into your existing ecosystem may be seamless.

Without dedicated IT staff, consider who will assume these responsibilities. Owning hardware does not necessitate self-managed maintenance. Managed on-premise services can handle operational tasks while keeping the hardware within your controlled environment.

Are there specific hardware requirements?

Certain workloads demand rigid hardware specifications. You may require specific CPUs, GPUs, memory configurations, storage setups, or physical form factors.

If these precise requirements are critical, custom on-premise hardware provides greater control. However, if you only require a specific tier of CPU or GPU performance, a cloud desktop may suffice.

This applies beyond just GPU tasks. Machine learning, rendering, and video production often require specific GPU capabilities, while build, CI, development, and data processing workloads may be more dependent on CPU, memory, or storage throughput.

What is the project duration?

Consider the expected lifespan of the requirement. For short-term projects spanning weeks or months, renting a cloud desktop is often practical, allowing you to decommission resources once the project concludes.

For workloads anticipated to persist for years, purchasing hardware becomes more justifiable. While the upfront investment is higher, the asset remains available for long-term use.

A hybrid approach is also viable. Projects can commence in the cloud while requirements are being refined. Once needs stabilize, you can reassess whether transitioning to owned hardware is more beneficial.

There is no one-size-fits-all solution

The ideal choice is contingent upon your specific workload, data policies, and team structure. If you are uncertain, we can provide guidance. We offer solutions for both on-premise and cloud environments.

Interested in discussing your use case? Contact us and we will help direct you towards the appropriate solution.