I will deploy and configure your GPU server and cluster for ai


About this gig
You can have GPUs, but not a reliable way to use them.
A GPU server that isn't configured properly is also known as a heater.
Conflicting drivers. Unstable GPU access. Resources being hogged. Your team spends more time fixing the machine than using it.
We deploy GPU servers for AI research and production. That means NVIDIA drivers, CUDA, Docker, with GPU passthrough, job scheduling, resource optimization, Access, SSH, and documentation that lets you and your team operate the machine without calling someone every week.
We've done this for university research infrastructure in Europe, managing clusters used for model training and GPU-accelerated data processing.
You save your time and get a server that just works.
Get to know Nawrus
AI infrastructure and technical consulting
- FromAustria
- Member sinceOct 2026
- Avg. response time1 hour
Languages
English, Arabic, German, Turkish
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FAQ
Does Nawrus provide the server?
You only need the hardware or the cloud instance. We configure it. If you don’t have hardware yet, message us or book a consultation and our team can advise on specifications before you buy.
What operating system do you support?
Ubuntu is the default but not the limit. Other distributions are possible. Talk to us before ordering or book a consultation for a larger project.
Do you work with an existing installation?
If the server is already partially configured, we audit what is there and fix or rebuild as needed. This needs to be scoped in the conversation before the order starts.
Does Nawrus offer ongoing support after deployment?
Nawrus offers monthly retainers for monitoring, updates, and troubleshooting. This is discussed after the initial delivery.
What does “multi-node” mean?
It means more than one server working together. We configure the networking between them and install scheduling and job queueing so jobs can be scheduled across the cluster and resources can be used efficiently for multiple tasks. If you only have one machine, the Basic package is sufficient.
Do I need job queuing and scheduling?
If multiple people share the server or you run batch jobs, queuing prevents conflicts and makes resource use predictable. Consult us and we can decide together.
Why do you take so long to "deliver" the solution?
Delivery time refers to the maximum amount of time before a solution is delivered. Of course in most cases the order is delivered much sooner.
What if something breaks after delivery?
Every package includes a written handover document for basic use. For ongoing issues beyond the revision window, a support call or retainer can be booked.

