Every test in this series follows a strict, repeatable protocol — so results are comparable and trustworthy.
The identical prompt is used across every run, ensuring a fair and apples-to-apples comparison between models.
All tests run on the exact same hardware configuration. No swapping machines, no variable environments.
Each test changes exactly one variable — typically the model under test — so you always know what caused the difference.
The model is reloaded fresh before every single benchmark, eliminating cache and memory-leak artifacts.
Every prompt file and every result file is published to the public repository — fully transparent and reproducible.
One machine. One GPU. No compromises on consistency.
A YouTube series dedicated to running local AI models on real, physical GPUs — no cloud, no emulators, no abstractions.
Demystify local AI inference by running real benchmarks on real hardware, with full transparency on every prompt and result.
Strict, controlled testing: same prompt, same rig, one variable changed per test, model reloaded before every run, every file published.
Open-source everything. Prompts, results, and methodology are all available for anyone to review, reproduce, and extend.
Watch episodes on YouTube or browse every prompt and result file in the repository.