Updated 2026-08-20: the fleet and per-unit figures on this page have been re-derived from Sephora's live catalogue and itemised. The previous version stated ₦20.4 million for the fleet against a real ₦43.4 million, using round per-unit figures with no component breakdown behind them. If you used this page to scope a deployment budget, it was understated by more than two times.
The Scenario
Consider a fintech startup founded in Abuja in 2024, building payment infrastructure for mid-market Nigerian businesses — API-first payment processing, settlement automation, and compliance tooling. It has closed a seed round and is scaling its engineering and product team from four people to fourteen. Until now, hardware has been managed piecemeal: laptops from various vendors, some personal machines brought from home, one desktop shared between two developers who work different shifts.
The seed round changes what is possible. The goal becomes equipping the entire technical team properly and ending the productivity drag of mismatched hardware, incompatible peripherals, and the constant IT overhead of a heterogeneous device fleet.
The Challenge
The challenge isn't finding a vendor — it's thinking clearly about what ten people doing different jobs actually need from their machines. A team like this breaks into three functional groups:
- Backend engineers (5 people): Node.js, Go, PostgreSQL, Docker, running local microservices stacks — memory-hungry work that benefits enormously from fast RAM and many cores
- Frontend engineers / designers (3 people): React, Figma, browser-based testing across multiple environments — needed large displays and fast local builds
- Product and data (2 people): SQL analytics, Metabase dashboards, spreadsheet work, video calls — capable machines but didn't need developer-tier specs
The default instinct at this point is branded business laptops for everyone — Lenovo ThinkPad or Dell Latitude. That decision is worth holding for one conversation before committing.
The Assessment
The case for desktops over laptops turns on how this specific team works. A Garki office is the primary work location — this is not a remote-first company. Engineers come in daily, plug into monitors, and do focused work. For a team that works primarily at fixed desks, a laptop's portability is not a benefit; it is a cost. You pay more for the same CPU performance in a laptop form factor, get worse cooling (thermal throttling under sustained builds), and end up with more repair complexity when something breaks.
Custom desktops allow specs to be matched precisely to workload, the hardware platform to be standardised for easier IT management, and power protection to be built in — something laptops can't have. A 10GbE local network switch belongs in the plan too, so internal code repositories and Docker image caches are shared over fast local network rather than repeated over internet bandwidth.
That gives three machine profiles and a deployment plan that gets all ten machines installed, configured, and on the domain within a two-day window.
The Build
Developer Stations (5 units) — ₦4,774,697 each
- CPU: AMD Ryzen 9 7900X (₦849,367) — 12 cores, excellent for parallel compilation and Docker builds
- Motherboard: B650 mATX DDR5 (₦411,145)
- RAM: 64GB DDR5-5600 (₦1,560,006) — enough to run a full local microservices stack without swapping
- GPU: RTX 3060 12GB (₦639,174) — adequate for development, supports multiple displays
- Storage: 2TB PCIe 4.0 NVMe (₦409,995) + 2TB HDD (₦150,003)
- Cooling: premium air cooler (₦155,000); PSU: 650W 80+ Gold modular (₦210,002); case: ATX tower (₦350,010)
- OS: Windows 11 Pro (₦39,995)
- UPS: 1500VA per machine (₦314,880), priced separately below
Designer Stations (3 units) — ₦3,780,908 each
- CPU: Intel Core i7-14700K (₦849,367) — strong single-core for Figma and browser rendering
- Motherboard: B760 ATX DDR5 (₦457,363)
- RAM: 32GB DDR5-5600 (₦779,992)
- GPU: RTX 4060 (₦639,174) — smooth Figma, multiple browser environments
- Storage: 1TB PCIe 4.0 NVMe (₦215,001) + 1TB HDD (₦85,004)
- Cooling: premium air cooler (₦155,000); PSU: 650W 80+ Gold modular (₦210,002); case: ATX tower (₦350,010)
- OS: Windows 11 Pro (₦39,995)
- UPS: 1500VA per machine (₦314,880), priced separately below
Product/Data Stations (2 units) — ₦2,695,554 each
- CPU: Intel Core i5-13600K (₦639,174)
- Motherboard: B760 ATX DDR5 (₦457,363)
- RAM: 32GB DDR4-3600 (₦319,992)
- GPU: RTX 3050 8GB (₦489,038)
- Storage: 1TB PCIe 4.0 NVMe (₦215,001)
- Cooling: basic air cooler (₦84,998); PSU: 550W 80+ Bronze modular (₦149,999); case: mATX tower (₦299,994)
- OS: Windows 11 Pro (₦39,995)
- UPS: 650VA per machine (₦137,760), priced separately below
Fleet Total
| Line | Qty | Per unit | Line total |
|---|---|---|---|
| Developer stations | 5 | ₦4,774,697 | ₦23,873,485 |
| Designer stations | 3 | ₦3,780,908 | ₦11,342,724 |
| Product/Data stations | 2 | ₦2,695,554 | ₦5,391,108 |
| UPS units (8× 1500VA, 2× 650VA) | 10 | — | ₦2,794,560 |
| Hardware total | 10 seats | — | ₦43,401,877 |
That is hardware only, before the 10GbE switch, structured cabling, and installation labour in the Garki office. A deployment at this scale also covers Windows 11 Pro activation, joining machines to an Azure AD domain, and handover with a full hardware inventory spreadsheet.
An earlier version of this scenario put the whole fleet at ₦20.4 million — less than half the real figure, and stated as a round "indicative" number with no per-unit itemisation to check it against. That is why every line above now carries its own price: a fleet number you cannot decompose is a number you cannot verify, and this one was wrong by more than 2×.
What that means for a startup planning this deployment is worth saying directly rather than leaving to arithmetic. At real prices, a 10-seat standardised fleet of this specification is a ₦43 million capital decision. The levers that actually move it are the developer tier's 64GB RAM (dropping to 32GB saves ₦780,014 per seat, ₦3.9 million across five) and the discrete GPUs on the product/data stations, which do very little for spreadsheet and analysis work. Staging the rollout by team — developers first, product last — is usually more realistic than compressing the spec across all ten seats at once.
What Changes
Docker build times are the clearest case. Container builds parallelise across cores, so a 12-core desktop chip that can hold its clocks under sustained load finishes work that a thermally-limited laptop CPU stretches out. The gap widens the longer the build runs, because the laptop is throttling and the desktop isn't.
Designers see a different effect. Figma canvas lag on a 16GB machine with integrated graphics is usually attributed to "Figma being slow." It isn't Figma — it's RAM and GPU. With 32GB and a discrete card, the lag goes away.
The operational benefit is standardisation. IT incidents that occupy a part-time IT manager for hours a week largely stem from a fleet where every machine is different. Standardised hardware means standardised troubleshooting: when something needs attention, the fix applies to every machine in the same class.
Key Takeaway
For office-based technical teams, custom desktops are almost always the more cost-effective choice over branded business laptops at comparable specs. The performance-per-naira advantage is significant, the cooling advantage under sustained loads is real, and the standardisation benefit for IT management compounds over time. The right question is not "laptop or desktop?" but "what does this person actually do all day, and what hardware serves that work best?"
Are you scaling a technical team in Nigeria? Talk to our team about a fleet deployment — we handle everything from spec to installation.