Frequently Asked Questions

We age going to add questions and answers if customers ask us.

Why we are here?
We are computing platform focused on dedicated GPU servers rental and other related technical tasks/activities around this techical domain.

AI teams and ML engineers need flexibility, performance, and cost efficiency.

What we are providing?
We are providing OWN powerfull Bare Metal hardware servers with GPUs and modern CPU for your work. CPU only servers can use Virtualization layer.
How to get your quotes for GPU server rental?
Feel free to contact us for personal quotes. There is no typical strong server configuration limitation. It's all depends on the client's business needs and how we can help him.
Why Bare Metal?
Full Hardware Control – get direct access to the underlying server, run any software stack, install custom drivers, and configure the machine how you need manually or automation tools.


Deploy without limits – Bare Metal lets you run Docker , Kubernetes, Rancher, specialized AI frameworks, or any other tools that require full hardware access.

No Resource Sharing – Your machine is always dedicated to your workload comparing with CPU/RAM/Storage/GPU resources sharing model.

What operating systems are provided?
Ubuntu 22 is recommended for all GPUs servers as most stable and working for AI/ML/LLM/3d tasks. You can also install other OS or Windows OS and bring your own licence while renting server.
How to access to server?
You will have Public IP with exposed TCP/UDP port range for specific server. Other option also can be provided.
What's shared Public IP?
That means that you have the same Public IP as your neighbour Bare Metal server and some other servers use the same Public IP inside of DC.
To improve security we are isolate network inter-servers communication beetween neighbours to avoid security breach.
What's SSD Data Secure erase (wipe)?
We are using extremely fast SSD NVME M.2 storages which support secure erase (wipe). That mean after your rental we can safely delete (wipe) sensitive data stored on rented server.
Burn Testing
You can useGPU burn test before run your workload.

You should also verify that memory, CPU, and disk are ready - you can use the ngstress library to accomplish this

Contact us

Request more information, submit the form below.

CRM-форма появится здесь