Updated 2026-08-20: the figures in this scenario have been re-derived from Sephora's live catalogue and itemised. The previous version stated an indicative ₦6.1 million against a real ₦14,543,847 — 2.38x — with no component breakdown to check it against. If you scoped a budget from this page before this date, it was understated by that margin.
The Scenario
Consider an independent filmmaker based in Enugu who has written, directed, and edited three feature-length films — all micro-budget, all made with serious craft. Festival screenings, a distribution deal. For someone working at that scale, a significant achievement.
And all of it done — every cut, every color grade, every sound sync — on a 2021 MacBook Pro M1 Pro, 16GB unified memory, 512GB SSD. A capable machine for its time. Not, by 2026 standards, capable enough for feature-length work.
The Challenge
The MacBook's problems in this scenario are threefold. First, 16GB of unified memory is shared between the CPU and GPU. Edit a timeline with multiple 4K streams, color grading LUTs, and audio plugins running simultaneously, and you exhaust that pool rapidly. The workaround is to keep DaVinci Resolve project settings conservative — lower resolution proxies, fewer simultaneous nodes — to avoid the system grinding to a halt.
Second, the 512GB SSD fills up constantly. Raw footage from a Sony FX6 shooting in Cinema Line format eats storage aggressively. The usual response is an external SSD array cobbled together from separate drives on a USB-C hub — a hub that can disconnect during intense read operations and corrupt an export mid-write.
Third, and least understood: the M1 Pro runs very hot under sustained load. Apple's thermal management on laptops aggressively throttles performance when the chassis gets hot. In Enugu's climate, editing in a room without constant air conditioning means the machine is throttling within 20 minutes of starting a render.
The Assessment
A workflow like this is pure DaVinci Resolve — ingest, color, Fairlight audio, final export, with occasional Fusion for VFX compositing inside Resolve. The projects are long-form: a feature at 107 minutes of finished runtime, cut from something on the order of 14TB of raw Sony FX6 footage.
The macOS-to-Windows question comes up in every conversation like this, and it deserves an honest answer: DaVinci Resolve is genuinely better on Windows with a proper NVIDIA GPU. Blackmagic Design's GPU acceleration in Resolve is heavily CUDA-optimised, and the RTX performance advantage over Apple's Metal GPU for Resolve-specific tasks is significant and measurable.
Storage architecture is the other half. A cobbled-together external array is a risk — not just for the hub disconnections, but because no single drive in it is backed up independently. If any one fails, irreplaceable footage goes with it.
The Build
A dedicated DaVinci Resolve editing workstation suits this case — ₦14,543,847 at Sephora's current catalogue prices, itemised so the figure can be checked line by line.
- CPU: Intel Core i9-14900K (₦1,171,108) — 24 cores for Fusion compositing and multiframe rendering
- Motherboard: Z790 ATX DDR5 (₦757,634)
- RAM: 128GB DDR5-4800 (₦3,120,011) — enough to hold a feature's proxy timeline in memory
- GPU: RTX 4090 24GB (₦5,405,068) — Resolve's CUDA acceleration transforms grading performance, and it is over a third of the build on its own
- Storage (primary): 4TB PCIe 4.0 NVMe (₦740,001) — OS, Resolve cache, active project
- Storage (media): 2× 8TB HDD in RAID-1 (₦860,002) — all raw footage mirrored
- Storage (backup): 16TB HDD (₦740,001) for cold backup, swapped weekly
- Cooling: 360mm AIO (₦300,002); case: ATX tower (₦350,010) — the maximum-airflow chassis this scenario named is not a catalogue part
- PSU: 1200W 80+ Platinum (₦1,100,010) — headroom for the 4090's 450W peak
- UPS: a 3000VA unit is above our 2000VA ceiling; budget ₦660,000–₦1,285,000 from surveyed market pricing for an online double-conversion unit at that size
This is the number a filmmaker moving off a laptop is actually deciding about, and it is well over twice what this page previously suggested. The GPU and the 128GB RAM kit are ₦8,525,079 between them — 59% of the build. A filmmaker who does not need a full feature's proxies resident in memory can take 64GB (₦1,560,006) and save ₦1,560,005 without touching the grading performance, which is the single most effective cut available here.
Setup matters as much as parts: DaVinci Resolve 19 installed and configured, the project library on the NVMe cache drive, media bins pointed at the IronWolf array. The learning curve coming from a MacBook workflow is usually smaller than editors expect.
What Changes
Export time in Resolve scales with GPU, and an RTX 4090 with 24GB of dedicated VRAM is a different proposition from 16GB of memory shared between CPU and GPU. Full 4K Cinema exports that force a laptop into an overnight run finish inside a working session. Color grading with node counts that would push the MacBook into dropped-frame playback runs in real time.
Fusion compositing is the clearest case. VFX work that is simply too slow to iterate on — where every preview is a wait — becomes something you can actually sit and do. The work does not get easier; it stops being gated by the machine.
The RAID-1 storage changes something less visible: it removes the anxiety of a single-copy footage archive. Creative energy spent managing risk is creative energy not spent editing.
Key Takeaway
A laptop — even a good one — makes compromises that a dedicated workstation does not have to make. Thermal throttling, shared memory pools, storage constraints, and port limitations all compound over the course of a long-form project. For a filmmaker working on feature-length material, those compromises are measured in hours per week. A custom workstation is not a luxury at that level of work. It is the minimum viable infrastructure for doing that work well.
If you are editing feature-length or long-form content on a laptop, you are not working — you are managing constraints. Those are different activities.
Are you a filmmaker or video editor ready to stop managing constraints? See the Creator Series or talk to our team about a build designed for your workflow.