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How to use Bindwidth: what you can do with it

Bindwidth is a browser-only calculator that sizes on-prem hardware for serving a local LLM by checking KV cache memory, serving capacity and session limits, then compares total cost of ownership.

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What do you want to do?

3 use cases

  • Size the hardware you need to run a private LLM

    Enter your model and workload and see which limit binds, memory, serving load or session ceiling.

    View prompt
    Use juxhinr/bindwidth to size hardware for <model> serving <users> concurrent sessions. Report the binding constraint and the cheapest eligible option, and confirm the numbers by re-running with the preset changed.

  • Compare buying versus renting GPUs for local AI

    Use the hardware and rental catalogue to compare total cost of ownership for the configuration you need.

    View prompt
    With bindwidth, size <scenario>, export it as Markdown, and summarize the cost difference between buying and renting. Verify the export reloads via JSON import.

  • Run the sizing calculator offline with no telemetry

    Clone and serve the static app locally so scenario details never leave your machine.

    View prompt
    Clone juxhinr/bindwidth, serve it with `python3 -m http.server 8080`, and run `node tests/engine.test.mjs`. Report whether the tests pass and confirm the app makes no network requests while sizing.

Quick start with Bindwidth

  1. Check you have what it needs: A web browser (or Python to serve it locally); Node.js only for running the tests.
  2. Open juxhinr/bindwidth on GitHub and read the README and license.
  3. Open the hosted calculator, or run it locally with python3 -m http.server 8080 after cloning
  4. Pick a guided setup preset or enter your model and workload
  5. Read which of the three limits binds
  6. Compare the eligible hardware alternatives

These steps come from our top use case, Size the hardware you need to run a private LLM, which also has a copy-paste agent prompt.

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Bindwidth alternatives · Best AI repos for Data and analytics

About this repo

Requirements

  • A web browser (or Python to serve it locally)
  • Node.js only for running the tests

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[![Use cases on Deduped](https://dedupedai.com/badge/juxhinr/bindwidth.svg)](https://dedupedai.com/use-cases/juxhinr-bindwidth/?utm_source=github&utm_medium=badge&utm_campaign=juxhinr-bindwidth)

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<a href="https://dedupedai.com/use-cases/juxhinr-bindwidth/?utm_source=github&amp;utm_medium=badge&amp;utm_campaign=juxhinr-bindwidth"><img src="https://dedupedai.com/badge/juxhinr/bindwidth.svg" alt="Use cases on Deduped" height="20"></a>

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Questions about Bindwidth

What is Bindwidth?

Bindwidth is a browser-only calculator that sizes on-prem hardware for serving a local LLM by checking KV cache memory, serving capacity and session limits, then compares total cost of ownership. It is an open-source project on GitHub: https://github.com/juxhinr/bindwidth.

Who is Bindwidth for?

IT leads and engineers deciding what hardware to buy or rent to run a private text model.

What can I do with Bindwidth?

3 use cases so far, for example: Size the hardware you need to run a private LLM; Compare buying versus renting GPUs for local AI; Run the sizing calculator offline with no telemetry. Each has steps and a copy-paste agent prompt.

What do I need to run Bindwidth?

A web browser (or Python to serve it locally); Node.js only for running the tests.

What are alternatives to Bindwidth?

Other hot AI repos in Data and analytics: DSH Usage, Schemagate, Asobeast, Coreclaw API Directory, Open Index.

Is Bindwidth safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.