AI benchmarks on local hardware

PC Magik Lab

Local models, real GPUs.

A YouTube series about running AI models on real, local GPUs — measured honestly, one variable at a time.

NVIDIA RTX 3090
24 GBVRAM
LM StudioServer
LocalRig
Method

How the series measures things

Fair, repeatable tests. Same prompt, same rig, one variable changed per test — so every result actually means something.

01

Same prompt, same rig

Every run starts from an identical setup so the only thing that can change is what's being tested.

02

One variable per test

A single setting changes between runs. No guessing which change caused the difference in results.

03

Model reloaded every run

The model is reloaded before every test, so nothing leaks between runs and each measurement stands on its own.

04

Everything published

Every prompt and every result file is published, so the work can be checked and repeated by anyone.

The rig

One rig. Real hardware.

No cloud abstractions or hidden specs — just a single local machine running the models under test.

NVIDIA RTX 3090

24 GB of VRAM powers every local run on the single test rig.

LM Studio

Used as the model server that serves every model under test.

About

A series for people who run their own models

PC Magik Lab is a YouTube series about running AI models on real, local GPUs. No cloud fog machines — just a single rig and honest numbers.

The focus is on method: keep everything the same except one variable, reload the model before every run, and publish every prompt and result so anyone can verify what's shown.

If you care about reproducibility and want to know how your models actually behave on local hardware, this series is for you.

“
Local models, real GPUs.
— the PC Magik Lab promise