TokenAssemble

Local AI hardware compatibility

Build a local AI setup your machine can actually run.

Choose a GPU, Mac, or mini-PC and a model. See whether it fits in VRAM or unified memory, which quantization and context work, how fast it should feel, and which runtime supports it.

FitsTightWon't fittiers, never fake tok/s

Sourced + stamped data · computes in your browser

One connected answer

The five layers of a local AI setup

TokenAssemble connects the parts other tools leave separate. Each step opens the sourced directory behind the verdict.

  1. 01 / MEMORY

    Hardware

    GPUs and complete systems

  2. 02 / WEIGHTS

    Model

    Architecture, size, and context

  3. 03 / FIT

    Quant

    Measured artifact sizes per model

  4. 04 / SERVE

    Runtime

    Support, compatibility, and ease

  5. 05 / USE

    Software

    Apps connected to local runtimes

The answer shows its work.

Fit physics, source dates, runtime gates, assumptions, and beta labels stay visible. Speed is always a tier, never a fabricated number.