Editorial previewLocal LLMs

Build a Local LLM Hardware Budget

A planned guide to reasoning about weights, context, cache, offloading, and system RAM before choosing a local model.

EDITORIAL PREVIEW

This outline is useful as planning content, but it does not represent a published video or a claim of completed hardware testing.

Before you start

  • A local model runner
  • Your system memory and GPU specifications

Key steps

  1. 01

    Inventory the machine

    Record GPU memory, system RAM, free storage, and the workloads that must run at the same time.

  2. 02

    Choose a practical model class

    Match parameter count and quantization to the available memory rather than the largest downloadable model.

  3. 03

    Test representative prompts

    Measure speed and quality on the tasks you actually care about, including realistic context lengths.