AvanturinAfter assessment
GPU server setup
Graphics cards, drivers and environment for AI tasks.
What it is
Choosing a configuration, setting up CUDA and containers, monitoring load. We do not make or sell the hardware itself.
Typical problem
A GPU server has been rented or bought, but you cannot use it effectively.
What you get
- Choice of configuration
- Drivers and environment
- Load monitoring
Who it is for
- Startups and founders
- Medium-sized businesses
- Large companies
Technologies
- NVIDIA CUDA
- Docker
Examples. The stack is chosen for the task.
Related services
Local LLM infrastructureA model service with queues and load control.Deployment of private and local LLMsA model on your server or in a closed environment.VPS deploymentA service on a server with HTTPS, backups and protection.Cloud architectureAn infrastructure scheme for your load, security and budget.Docker containerizationThe application runs the same way everywhere.CI/CD pipelinesUpdates go out automatically, with checks.
Questions
Which hosting should we choose?
It depends on the load, data storage requirements and budget. One good VPS with backups is often enough to start.
Whose name are the accounts in?
We recommend yours: the server, domain and cloud stay yours after the work ends.
Do you guarantee 100% uptime?
No, nobody promises that. We design for an agreed target and show what it costs.
Tell us what needs to be built
We will tell you whether it can be done, how and roughly for how much. No obligation.