PC Magik Lab
YouTube Series • Local GPU Testing

PC Magik Lab

Local models, real GPUs.

A practical series about running AI models on real, local hardware. No cloud, no hype — just measurable performance on your own rig.

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Series focus

Real tests. Same rig. One variable at a time.

Every episode isolates a single change — model, context, quantization, or settings — and measures it under controlled conditions.

Consistent

Same prompt, same rig.

Transparent

Prompts and result files published.

How we measure

Clear methodology for comparable, honest results.

Control

Same prompt

Identical input across tests to eliminate prompt variance.

Control

Same rig

All runs on the same hardware configuration.

Isolation

One variable

One variable changed per test for clean comparison.

Fresh start

Model reloaded

The model is reloaded before every run.

Open

Published files

Every prompt and result file is published for review.

Local

No cloud

Tests run locally on real GPUs, not remote services.

Test bench

One rig

  • GPU: NVIDIA RTX 3090 24 GB
  • Model server: LM Studio
  • Focus: Local inference, latency, throughput, and quality under identical conditions

The series keeps the hardware constant so differences come from models and settings, not the machine.

Why this matters

Consistent hardware means comparable numbers. Changing only one factor at a time makes it clear what actually improves speed or quality on a local GPU.

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About the series

PC Magik Lab is a YouTube series about running AI models on real, local GPUs. The tagline is simple: Local models, real GPUs.

Expect practical comparisons, transparent methodology, and reproducible results you can try on your own hardware.

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