Data Center (Server)
Deploying and maintaining physical servers can be difficult. Servers need space, power, compatible components, and people who know how to replace, upgrade, and troubleshoot the hardware. DaDesktop can provision compact server hardware around your requirements and help maintain the technical environment.
Hardware built around your requirements
Instead of forcing every deployment into one fixed server configuration, DaDesktop can help select components based on the workload, available space, performance requirements, and budget.
- Flexible component selection: Choose CPUs, memory, storage, GPUs, motherboards, and other hardware based on what you actually need.
- No single-vendor dependency: We can work with different hardware brands where the components are compatible with the system.
- Compatibility testing: Components can be tested together before delivery to reduce problems with firmware, motherboards, operating systems, and other hardware.
- Upgradeable design: Individual components can be replaced or upgraded instead of replacing the complete server.
Compact servers that are easier to deploy
Not every workload needs a traditional rack full of large enterprise servers. DaDesktop can provision compact systems that are closer in size to a normal computer and can be deployed in an office, equipment room, lab, or other suitable location.
We provide our own frame design for systems where components need to remain accessible. The goal is to make common parts easier to install, remove, replace, and upgrade.
From components to a working system
| Planning | Tell us the workload and specifications you need. We help identify suitable components. |
| Provisioning | We source and prepare the hardware required for the system. |
| Testing | Hardware, firmware, and software compatibility can be checked before the system is delivered. |
| Maintenance | DaDesktop can help maintain the technical software and hardware environment as requirements change. |
Where custom hardware makes sense
- AI and LLM systems: Run dedicated AI workloads or long-running AI agents on hardware deployed at your own location.
- Development and engineering: Build machines around workloads that need specific CPUs, GPUs, memory, or storage.
- Private infrastructure: Keep computing resources inside your office or data center instead of relying entirely on a hyperscaler.
- Upgradeable servers: Replace or expand individual components when requirements grow instead of migrating to a completely new machine.
For GPU workloads, see our GPU options. DaDesktop can also support local LLM deployments where dedicated hardware is required.
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