This is an illustrative scenario, not an account of a specific client engagement. Consider the ICT coordinator at a private secondary school in Port Harcourt with a specific brief: equip a new 30-seat computer lab for students learning Microsoft Office, programming basics (Scratch, Python), and web design. Budget is fixed; reliability is the top priority.
The Requirements
Thirty identical workstations, a teacher's station with projection capability, a managed network, and a UPS solution for each workstation. Budget per seat is strict, and the total for hardware, software, networking, and UPS deployment needs to be agreed upfront.
The Build Decision
For educational workstations where the workloads are light, a no-GPU configuration is the right call — it reduces cost, heat, and failure points at once:
- Intel Core i3-13100 (4-core, integrated graphics)
- 16GB DDR4
- 512GB NVMe SSD
- mATX case with strong airflow for warm classroom environment
- 1000VA AVR UPS per machine
What Deployment at This Scale Involves
Deploying 30 identical machines is where a master image earns its keep. Preparing one ghost image with Windows 11, Office, Python 3, VS Code, and the school's required software — then cloning it — turns what would be days of individual setup into a single afternoon. Identical hardware across all 30 seats is what makes that possible, which is an argument for standardising the spec beyond just purchasing simplicity.
The second consideration is heat. A Nigerian classroom without air conditioning is a genuinely demanding thermal environment, and it is the reason the spec above calls for a case with strong airflow rather than the cheapest available. Marginal cooling configurations that pass in an office will show elevated temperatures here. Plan for monitoring after deployment, and treat thermal paste quality as a real line item rather than a detail.
Ongoing Maintenance
Budget for routine dust cleaning on a fixed schedule. In a lab environment with daily student use, dust accumulation is the most predictable cause of thermal drift over time — and it is the cheapest failure mode to prevent.