CPU Fair use policy

Crunchbits fair use policy for our shared virtualized line of products.

What are VPS products designed for?

Virtual Private Server (VPS) products are shared hosting resources designed for general-purpose computing and web hosting applications. These services operate on shared infrastructure and must be used in a manner that maintains fair resource allocation among all customers.

What is not allowed on our VPS products?

Customers shall not engage in sustained, intensive computational tasks that materially impact the shared infrastructure or other users' experience. This includes but is not limited to:

• Cryptocurrency mining or blockchain validation

• Machine learning/AI model training or inference

• Video rendering or transcoding

• Scientific computing or data processing pipelines

• Other CPU/disk-intensive workloads that maintain persistently high resource utilization

What is allowed on our VPS products?

We fully support and encourage our customers' growth and success. Temporary spikes in resource usage due to legitimate business activities are normal and expected. Some examples may include:

• Traffic surges from product launches or marketing campaigns

• Periodic backup or maintenance operations

• Development and testing activities

• Seasonal business fluctuations

How is resource usage evaluated?

Resource usage will be evaluated based on both intensity and duration of utilization, as well as impact on neighboring virtual machines. Our team will proactively communicate with customers if we observe concerning usage patterns, working together to find appropriate solutions before considering any service interruption.

What if my use case is CPU heavy?

For sustained high-intensity computing needs, we recommend upgrading to our Virtual Dedicated Server (VDS) or Dedicated Server products, which are specifically engineered for intensive workloads.

We reserve the right to suspend or terminate services that demonstrate persistent patterns of excessive resource consumption or that negatively impact the hypervisor, but will always attempt to work with customers to address issues before taking such actions.