Straight answers, priced in UGX, on the questions Kampala PC buyers actually ask us on WhatsApp — from gaming PC budgets to AI training GPUs.
You don't need a top-tier GPU for coursework -- most data science work is CPU and RAM bound until you get into deep learning specifically.
Image generation models are more VRAM-forgiving than LLMs of similar quality -- here's what actually makes a difference.
A serious home AI setup is more accessible than most people think -- here's a realistic budget breakdown by ambition level.
Refurbished isn't automatically risky, and new isn't automatically safe -- the part category matters more than the label.
GPUs are the single most common item misrepresented in the used-parts trade -- here's exactly what to check before you pay.
Custom builds usually win on value, but prebuilt has real advantages that matter for specific buyers -- here's an honest breakdown.
A short, practical checklist to run through before you buy your first PC or first custom build in Uganda.
Desktops win on pure performance per shilling, but the real answer depends on your power situation and how often you need to move it.
Upgrading one or two components is almost always better value than a full rebuild -- if you upgrade the right ones in the right order.
CPU-based, GPU-based, or hybrid -- each engine's core architecture decides what hardware actually helps, more than its brand does.
GPU rendering is usually faster per shilling today, but CPU rendering still has real advantages -- especially for very large scenes.
Redshift is one of the fastest GPU renderers available, but it's also one of the most VRAM-sensitive -- getting this wrong is an expensive mistake.