Plans' difference

Cloud plans

All Cloud plans use lightweight virtualization, which reduces the cost of computing resources. One of the drawbacks is the inability to manage the Linux kernel. However, such servers can still be useful for regular consumers.

Private Cloud (NAT)

These are quite specific hosting services — VPS with NAT (i.e., without a dedicated IP).

What does this mean? It means that you won’t get a full IPv4 address, but rather a certain number of ports on a shared IP. These virtual servers are far from useless, and due to their significantly lower price, they can be used in many cases.

Most obvious use cases:

• Telegram/VK/Viber bots, which don't require a dedicated IP, and thanks to the low resource costs, will be quite efficient;
• private game servers, such as Minecraft or SAMP, since game servers only need a few ports;
• test environment for building projects or development (e.g., installing an online IDE or using VS Code Remote);
• databases (PgSQL, MySQL, MongoDB and others), including clustering or sharding.

Overall, these are almost regular virtual servers: you get a full-fledged Linux system with root access and can use all the same software as on a standard server, with the only difference being the lack of a dedicated IP.

What if I need a dedicated IP? For that, we offer the Public Cloud plans.

Public Cloud

Each Public Cloud server has an individual public IPv4 address, allowing direct access to the server (without port forwarding), unlike Private Cloud.

Possible use cases:

• hosting websites or database clusters;
• public game servers, as administration is simpler compared to NAT;
• rapid server deployment;
• all use cases of Private Cloud.

KVM plans

KVM plans use full hardware virtualization, providing complete control over the server. Such a virtual machine operates almost like a physical server, but with convenient web-based management.

Best suited for:

• cryptocurrency mining;
• setting up a remote workstation;
• using system software that depends on OS kernel modules.

This approach makes computing resources more expensive, but these virtual machines are suitable for almost any user and purpose.