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How to compare buying versus renting GPUs for local AI with Bindwidth

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

Who it is forA finance-minded engineering manager building the case for or against on-prem inference.

The problemComparing capex hardware with hourly rentals by hand is error-prone.

The outcomeA priced comparison you can export and share.

What you need first

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

Steps

  1. Size your scenario in the calculator
  2. Compare the purchase and rental options it lists
  3. Export the scenario as JSON or Markdown
  4. Share the Markdown summary with stakeholders

Prompt for your agent

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

Caveat. Prices come from the bundled catalogue files and may lag current market prices.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for juxhinr/bindwidth and "Compare buying versus renting GPUs for local AI"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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