Guides tagged "AI & Machine Learning" from PowerPlay PC Builds, priced in UGX for Kampala buyers.
Running language models locally instead of paying for cloud API calls is increasingly realistic -- if your GPU has the VRAM to hold the model.
The RTX 5090 is faster and has more VRAM -- but at roughly triple the local price gap, it's not the obvious upgrade for everyone.
Fine-tuning is more demanding than inference but far less demanding than training from scratch -- here's what it actually takes.
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.
Why VRAM is the number that matters most for local AI training, with real GPU options and pricing from the RTX 5080 up to the RTX 5090.