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Show HN: Sunk Cost – How long until a local LLM rig pays for itself?

Hacker News · securityby rlindsey123 ()1 min read1
AI summary · glm-5.3Summaries by Vani AI

Show HN tool 'Sunk Cost' calculates when a local LLM rig breaks even versus falling API prices, factoring electricity cost and inference speed.

A Hacker News Show HN project called Sunk Cost models the payback period of buying local LLM hardware instead of paying API prices. Users can adjust assumptions like electricity cost ($/kWh) and API speed (tokens/second), and the model assumes API prices keep falling. Where local speed is unmeasured, it is estimated from memory bandwidth divided by bytes read per token, and labelled as an estimate.

Key facts
  • Compares total cost of a local LLM rig against per-token API pricing
  • Adjustable inputs: electricity $/kWh and API speed in tokens/sec
  • Assumes API prices continue declining over time
  • Local speed estimated via memory bandwidth ÷ bytes read per token when unmeasured
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From the original article

1 min read at sunkcost.ai

Where nothing has been measured, local speed is estimated as memory bandwidth ÷ bytes read per token × , and labelled as such. API speed only affects the time comparison.

Hacker News · security

By rlindsey123 · sunkcost.ai

Read the full article at Hacker News · security

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.