GPU servers for AI, dedicated servers and VPS — operated for you

1 · The compute portfolio

Three shapes of capacity, one operating standard. Teams usually start with one and consolidate onto the group as the estate grows.

2 · GPU servers for AI workloads

Accelerated compute is supplied for the work that actually occupies a business: serving a model to real users, fine-tuning an open model on your own corpus, running document extraction over scans, scoring batches overnight, or giving a data team a notebook environment that does not queue behind a laptop.

• Inference and serving — model endpoints behind a stable address, with the runtime, driver and framework versions pinned and recorded so a deployment is reproducible.
• Fine-tuning and LoRA runs — capacity reserved for the length of the run, with datasets staged on fast local storage and cleared on request.
• Training — multi-accelerator nodes for teams whose job hours justify dedicated hardware rather than per-hour instances.
• Retrieval and vector workloads — the database, embedding service and application colocated on one platform, which removes most of the latency and most of the cost of a distributed proof of concept.
• Media and rendering — transcoding, frame extraction and synthetic-data generation on scheduled capacity rather than on office machines.

We will tell you honestly when a workload does not need a GPU. A large share of "AI infrastructure" requests resolve into well-sized CPU instances, a queue and a smaller model — which is cheaper, cooler and easier to support.

3 · Dedicated servers

A single tenant, a defined hardware profile, and an operating system you choose. This is the right shape for database engines with core-based licensing, telephony and media platforms, legacy applications that assume a machine rather than a fleet, and any workload where noisy neighbours are unacceptable.

• Hardware selection recorded at order: processor class, memory, drive type and count, network capacity.
• Build from a clean image or a documented specification, with disk layout agreed rather than defaulted.
• Optional managed tier: kernel and package updates, service monitoring, log rotation, backup scheduling, firewall maintenance and a named service lead.
• Out-of-band access and hardware replacement handled by the group; you are not asked to diagnose a failed drive.

4 · Virtual private servers

Predictable virtual machines on NVMe-backed platforms, issued in minutes and sized in plain terms — vCPU, memory, disk, transfer. Full root access, snapshot-based recovery, and resource limits stated honestly so a plan is what it says it is.

Agencies and internal teams running many small sites use this tier to consolidate: one account, one register of servers, one invoice route, one place where renewal dates and operating-system versions are tracked. That is usually where the real saving appears — not in the hourly price.

5 · Storage and private networking

Block storage for databases, object storage for artefacts and backups, and fast local disks for training data. Where a client runs several machines that must talk privately, an isolated network segment is configured so internal traffic does not cross the public internet, and egress is planned rather than discovered on an invoice.

6 · How capacity is sized and agreed

Sizing is a conversation, not a checkout. Before anything is ordered we ask for the workload shape — concurrency, dataset size, batch cadence, growth expectation, the recovery position you would defend in front of your board — and we return a written specification with the assumptions stated. If the first month proves the assumption wrong, the specification is revised.

1. Brief: what runs, who uses it, what the cost of an hour of downtime is.
2. Written specification: compute, memory, accelerator, storage, network, location, backup policy.
3. Build and handover: access issued, versions recorded, monitoring live, escalation route published.
4. Review: utilisation and spend after the first period, then at agreed intervals.

7 · Day-two operation

• Availability, resource and service monitoring with alerting to a responsible person, not to a mailbox.
• A published patch and dependency cadence, with security updates expedited.
• Backups scheduled, retained and — importantly — restored periodically to prove they work.
• Change control: production changes are written down and approved before they are applied.
• Reporting in a form a manager, auditor or successor engineer can read without a briefing.

8 · Location and data residency

The group is registered in England and Wales and operates remotely from the United Kingdom, with in-Kingdom capacity available through DukanKSA for Arabic-language and Saudi-market services. Processing location is recorded per engagement, and where a client must keep data inside a specific jurisdiction, that constraint drives the platform choice rather than the reverse.

9 · Migration and consolidation

Moving compute is a project with a sequence, not a switch. We inventory what exists, agree a wave order, build in parallel, cut over inside a stated window with a rollback that has been tested, and finish with the old platform decommissioned and the register updated. Where a previous supplier is uncooperative on credentials or egress, we work around it rather than escalating the problem back to you.

10 · Engagement and pricing model

Servers are billed monthly against the agreed specification; managed operation is a stated service schedule rather than an hourly surprise. There is no usage-based penalty for calling your own data, and no automatic renewal without confirmation of the price for the next period. Contract terms, support hours and any availability targets are defined per engagement — we do not publish a service level that we have not agreed with you.

To start a conversation, write to [email protected] with the workload and the location; you will get a specification and a price, not a brochure.

11 · Questions teams ask first

Can we start with a single accelerator and grow?

Yes. Most engagements begin with one instance for inference or fine-tuning, with a documented upgrade path to a multi-accelerator node. Accelerator capacity is confirmed with you before any commitment is made, so you are never buying from a specification sheet.

Do you manage the operating system, drivers and CUDA stack?

On a managed arrangement we own the operating system, kernel, driver and toolkit versions, the patch cadence and the monitoring, and we tell you which versions a workload is running on. On a self-managed arrangement you hold root and we keep the platform, power, network and hardware healthy.

Where can the servers be located?

The group operates from the United Kingdom and works with in-Kingdom capacity for Saudi-facing services through DukanKSA. Processing locations and data residency are agreed and recorded before the first production workload is placed.

What happens when a node fails?

Monitoring raises the incident, the affected workload is triaged against the recovery position agreed in your contract, and hardware replacement or rebuild is handled by the group rather than by your team. Every incident closes with a short written record so the client's file stays complete.

12 · Related services

• Cloud business systemsOdoo and custom applications, centralised records and API integration
• Business email, SSL & backupsMailboxes on your domain, Microsoft 365, certificates and tested recovery
• Capability registerWhat the group delivers and which company delivers it