How Compute is organized
Every Compute account operates within an organization. The organization is the shared boundary for:- People and their roles
- Instances and other Compute resources
- Prepaid credits
- Billing and transaction history
- The Owner controls credits, payment methods, auto top-up, people, and ownership.
- Admins help manage people and organization settings and can view organization billing.
- Members can create and use organization resources but cannot manage people or billing.
What you can create
Compute supports two main instance types.Containers
Containers provide prepared software environments for application, development, AI, and inference workloads. You can use an available template or create a custom template for repeated configurations.Virtual machines
Virtual machines provide a full operating system for workloads that need broader system-level control. Both types can use GPU or CPU-only configurations when those resources are available in the selected location.How instance creation works
The creation flow guides you through the main choices:- Confirm the organization you are using.
- Choose a container or virtual machine.
- Select an available location.
- Choose GPU or vCPU-only resources and a suitable size.
- Select a template or operating system.
- Configure SSH, HTTPS, TCP, UDP, or Jupyter access as needed.
- Name the instance and review the estimated cost.
- Create it and wait for the status to reach Running.
How billing works
Compute uses prepaid credits held in the organization balance. Running resources draw from that shared balance, and eligible Compute usage is charged per second. Only the organization Owner can add credits, manage payment methods, or configure auto top-up. Admins can review organization spending, while Members cannot see organization-wide billing.If an Admin or Member reaches the creation review with insufficient credits, the organization Owner must add more before the instance can be launched.
How you access a workload
Connection options depend on what you enable during creation:- SSH for terminal access
- HTTPS for secure browser or API access
- TCP or UDP for applications that require those protocols
- Jupyter Notebook for browser-based notebook workflows when available
Stop, start, and terminate
Use the instance lifecycle controls according to what you need next:- Stop pauses compute charges and preserves the instance temporarily for a later start.
- Start returns a stopped instance to service when suitable capacity is available.
- Terminate permanently deletes the instance and its local data.
Distributed infrastructure
Hivenet runs Compute across distributed infrastructure rather than relying on one central facility. Available locations and configurations depend on the capacity connected to the platform. You choose from the resources currently offered in the console. The creation screen shows availability, technical specifications, and active pricing before you launch.Before you start
You’ll need:- A Compute account
- Access to an organization
- Enough organization credits for the selected resource
- An SSH public key when you want terminal access
- A plan for saving any data you cannot afford to lose